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1,371 results on '"Ng, G. A."'

203. Awake prone positioning in COVID-19

Author

Koeckerling, David, primary, Barker, Joseph, additional, Mudalige, Nadeesha L, additional, Oyefeso, Oluwatobiloba, additional, Pan, Daniel, additional, Pareek, Manish, additional, Thompson, Jonathan P, additional, and Ng, G Andre, additional

Published
2020
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209. Self-driving laboratory for accelerated discovery of thin-film materials

Author

MacLeod, B. P., primary, Parlane, F. G. L., additional, Morrissey, T. D., additional, Häse, F., additional, Roch, L. M., additional, Dettelbach, K. E., additional, Moreira, R., additional, Yunker, L. P. E., additional, Rooney, M. B., additional, Deeth, J. R., additional, Lai, V., additional, Ng, G. J., additional, Situ, H., additional, Zhang, R. H., additional, Elliott, M. S., additional, Haley, T. H., additional, Dvorak, D. J., additional, Aspuru-Guzik, A., additional, Hein, J. E., additional, and Berlinguette, C. P., additional

Published
2020
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218. Anticoagulation, therapy of concomitant conditions, and early rhythm control therapy: a detailed analysis of treatment patterns in the EAST - AFNET 4 trial.

Author

Metzner, Andreas, Suling, Anna, Brandes, Axel, Camm, A John, Crijns, Harry J G M, Ng, G Andre, Kirchhof, Paulus, Breithardt, Günter, Eckardt, Lars, Elvan, Arif, Goette, Andreas, Haegeli, Laurent M, Heidbuchel, Hein, Kautzner, Josef, Kuck, Karl-Heinz, Mont, Luis, Szumowski, Lukasz, Themistoclakis, Sakis, van Gelder, Isabelle C, and Vardas, Panos

Abstract

Aims: Treatment patterns were compared between randomized groups in EAST-AFNET 4 to assess whether differences in anticoagulation, therapy of concomitant diseases, or intensity of care can explain the clinical benefit achieved with early rhythm control in EAST-AFNET 4.Methods and Results: Cardiovascular treatment patterns and number of visits were compared between randomized groups in EAST-AFNET 4. Oral anticoagulation was used in >90% of patients during follow-up without differences between randomized groups. There were no differences in treatment of concomitant conditions between groups. The type of rhythm control varied by country and centre. Over time, antiarrhythmic drugs were given to 1171/1395 (84%) patients in early therapy, and to 202/1394 (14%) in usual care. Atrial fibrillation (AF) ablation was performed in 340/1395 (24%) patients randomized to early therapy, and in 168/1394 (12%) patients randomized to usual care. 97% of rhythm control therapies were within class I and class III recommendations of AF guidelines. Patients randomized to early therapy transmitted 297 166 telemetric electrocardiograms (ECGs) to a core lab. In total, 97 978 abnormal ECGs were sent to study sites. The resulting difference between study visits was low (0.06 visits/patient/year), with slightly more visits in early therapy (usual care 0.39 visits/patient/year; early rhythm control 0.45 visits/patient/year, P < 0.001), mainly due to visits for symptomatic AF recurrences or recurrent AF on telemetric ECGs.Conclusion: The clinical benefit of early, systematic rhythm control therapy was achieved using variable treatment patterns of antiarrhythmic drugs and AF ablation, applied within guideline recommendations. [ABSTRACT FROM AUTHOR]

Published
2022
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235. Standardizing Single-Frame Phase Singularity Identification Algorithms and Parameters in Phase Mapping During Human Atrial Fibrillation

Author

Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica, British Heart Foundation, Instituto de Salud Carlos III, Medical Research Council, Reino Unido, National Institute for Health Research, Reino Unido, Fundação de Amparo à Pesquisa do Estado de São Paulo, Li, Xin, Almeida, Tiago P., Dastagir, Nawshin, Guillem Sánchez, María Salud, Salinet, Joao, Chu, Gavin S., Stafford, Peter J., Schlindwein, Fernando S., Ng, G. André, Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica, British Heart Foundation, Instituto de Salud Carlos III, Medical Research Council, Reino Unido, National Institute for Health Research, Reino Unido, Fundação de Amparo à Pesquisa do Estado de São Paulo, Li, Xin, Almeida, Tiago P., Dastagir, Nawshin, Guillem Sánchez, María Salud, Salinet, Joao, Chu, Gavin S., Stafford, Peter J., Schlindwein, Fernando S., and Ng, G. André

Abstract

[EN] Purpose Recent investigations failed to reproduce the positive rotor-guided ablation outcomes shown by initial studies for treating persistent atrial fibrillation (persAF). Phase singularity (PS) is an important feature for AF driver detection, but algorithms for automated PS identification differ. We aim to investigate the performance of four different techniques for automated PS detection. Methods 2048-channel virtual electrogram (VEGM) and electrocardiogram signals were collected for 30 s from 10 patients undergoing persAF ablation. QRST-subtraction was performed and VEGMs were processed using sinusoidal wavelet reconstruction. The phase was obtained using Hilbert transform. PSs were detected using four algorithms: (1) 2D image processing based and neighbor-indexing algorithm; (2) 3D neighbor-indexing algorithm; (3) 2D kernel convolutional algorithm estimating topological charge; (4) topological charge estimation on 3D mesh. PS annotations were compared using the structural similarity index (SSIM) and Pearson's correlation coefficient (CORR). Optimized parameters to improve detection accuracy were found for all four algorithms usingF(beta)score and 10-fold cross-validation compared with manual annotation. Local clustering with density-based spatial clustering of applications with noise (DBSCAN) was proposed to improve algorithms 3 and 4. Results The PS density maps created by each algorithm with default parameters were poorly correlated. Phase gradient threshold and search radius (or kernels) were shown to affect PS detections. The processing times for the algorithms were significantly different (p< 0.0001). TheF(beta)scores for algorithms 1, 2, 3, 3 + DBSCAN, 4 and 4 + DBSCAN were 0.547, 0.645, 0.742, 0.828, 0.656, and 0.831. Algorithm 4 + DBSCAN achieved the best classification performance with acceptable processing time (2.0 +/- 0.3 s). Conclusion AF driver identification is dependent on the PS detection algorithms and their parameters, which could explai

Published
2020

238. Systematic, early rhythm control strategy for atrial fibrillation in patients with or without symptoms: the EAST-AFNET 4 trial.

Author

Willems, Stephan, Borof, Katrin, Brandes, Axel, Breithardt, Günter, Camm, A John, Crijns, Harry J G M, Eckardt, Lars, Gessler, Nele, Goette, Andreas, Haegeli, Laurent M, Heidbuchel, Hein, Kautzner, Josef, Ng, G André, Schnabel, Renate B, Suling, Anna, Szumowski, Lukasz, Themistoclakis, Sakis, Vardas, Panos, Gelder, Isabelle C van, and Wegscheider, Karl

Subjects
ATRIAL fibrillation, SYMPTOMS, ABLATION techniques, MYOCARDIAL depressants, CLINICAL trials
Abstract

Aims Clinical practice guidelines restrict rhythm control therapy to patients with symptomatic atrial fibrillation (AF). The EAST-AFNET 4 trial demonstrated that early, systematic rhythm control improves clinical outcomes compared to symptom-directed rhythm control. Methods and results This prespecified EAST-AFNET 4 analysis compared the effect of early rhythm control therapy in asymptomatic patients (EHRA score I) to symptomatic patients. Primary outcome was a composite of death from cardiovascular causes, stroke, or hospitalization with worsening of heart failure or acute coronary syndrome, analyzed in a time-to-event analysis. At baseline, 801/2633 (30.4%) patients were asymptomatic [mean age 71.3 years, 37.5% women, mean CHA2DS2-VASc score 3.4, 169/801 (21.1%) heart failure]. Asymptomatic patients randomized to early rhythm control (395/801) received similar rhythm control therapies compared to symptomatic patients [e.g. AF ablation at 24 months: 75/395 (19.0%) in asymptomatic; 176/910 (19.3%) symptomatic patients, P = 0.672]. Anticoagulation and treatment of concomitant cardiovascular conditions was not different between symptomatic and asymptomatic patients. The primary outcome occurred in 79/395 asymptomatic patients randomized to early rhythm control and in 97/406 patients randomized to usual care (hazard ratio 0.76, 95% confidence interval [0.6; 1.03]), almost identical to symptomatic patients. At 24 months follow-up, change in symptom status was not different between randomized groups (P = 0.19). Conclusion The clinical benefit of early, systematic rhythm control was not different between asymptomatic and symptomatic patients in EAST-AFNET 4. These results call for a shared decision discussing the benefits of rhythm control therapy in all patients with recently diagnosed AF and concomitant cardiovascular conditions (EAST-AFNET 4; ISRCTN04708680; NCT01288352; EudraCT2010-021258-20). [ABSTRACT FROM AUTHOR]

Published
2022
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245. Study on GaN buffer leakage current in AlGaN/GaN high electron mobility transistor structures grown by ammonia-molecular beam epitaxy on 100-mm Si(111).

Author

Ravikiran, L., Radhakrishnan, K., Basha, S. Munawar, Dharmarasu, N., Agrawal, M., kumar, C. M. Manoj, Arulkumaran, S., and Ng, G. I.

Subjects
GALLIUM nitride, STRAY currents, ALUMINUM, ALUMINUM compounds, MODULATION-doped field-effect transistors, MOLECULAR beam epitaxy, AMMONIA, RADIOMETERS
Abstract

The effect of carbon doping on the structural and electrical properties of GaN buffer layer of AlGaN/GaN high electron mobility transistor (HEMT) structures has been studied. In the undoped HEMT structures, oxygen was identified as the dominant impurity using secondary ion mass spectroscopy and photoluminescence (PL) measurements. In addition, a notable parallel conduction channel was identified in the GaN buffer at the interface. The AlGaN/GaN HEMT structures with carbon doped GaN buffer using a CBr4 beam equivalent pressure of 1.86×10-7 mTorr showed a reduction in the buffer leakage current by two orders of magnitude. Carbon doped GaN buffers also exhibited a slight increase in the crystalline tilt with some pits on the growth surface. PL and Raman measurements indicated only a partial compensation of donor states with carbon acceptors. However, AlGaN/GaN HEMT structures with carbon doped GaN buffer with 200 nm thick undoped GaN near the channel exhibited good 2DEG characteristics. [ABSTRACT FROM AUTHOR]

Published
2015
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247. Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Author

Brown, P. Zhou, Y. Tan, A.-C. El-Esawi, M.A. Liehr, T. Blanck, O. Gladue, D.P. Almeida, G.M.F. Cernava, T. Sorzano, C.O. Yeung, A.W.K. Engel, M.S. Chandrasekaran, A.R. Muth, T. Staege, M.S. Daulatabad, S.V. Widera, D. Zhang, J. Meule, A. Honjo, K. Pourret, O. Yin, C.-C. Zhang, Z. Cascella, M. Flegel, W.A. Goodyear, C.S. van Raaij, M.J. Bukowy-Bieryllo, Z. Campana, L.G. Kurniawan, N.A. Lalaouna, D. Hüttner, F.J. Ammerman, B.A. Ehret, F. Cobine, P.A. Tan, E.-C. Han, H. Xia, W. McCrum, C. Dings, R.P.M. Marinello, F. Nilsson, H. Nixon, B. Voskarides, K. Yang, L. Costa, V.D. Bengtsson-Palme, J. Bradshaw, W. Grimm, D.G. Kumar, N. Martis, E. Prieto, D. Sabnis, S.C. Amer, S.E.D.R. Liew, A.W.C. Perco, P. Rahimi, F. Riva, G. Zhang, C. Devkota, H.P. Ogami, K. Basharat, Z. Fierz, W. Siebers, R. Tan, K.H. Boehme, K.A. Brenneisen, P. Brown, J.A.L. Dalrymple, B.P. Harvey, D.J. Ng, G. Werten, S. Bleackley, M. Dai, Z. Dhariwal, R. Gelfer, Y. Hartmann, M.D. Miotla, P. Tamaian, R. Govender, P. Gurney-Champion, O.J. Kauppila, J.H. Zhang, X. Echeverría, N. Subhash, S. Sallmon, H. Tofani, M. Bae, T. Bosch, O. Cuív, P.O. Danchin, A. Diouf, B. Eerola, T. Evangelou, E. Filipp, F. Klump, H. Kurgan, L. Smith, S.S. Terrier, O. Tuttle, N. Ascher, D.B. Janga, S.C. Schulte, L.N. Becker, D. Browngardt, C. Bush, S.J. Gaullier, G. Ide, K. Meseko, C. Werner, G.D.A. Zaucha, J. Al-Farha, A.A. Greenwald, N.F. Popoola, S.I. Rahman, S. Xu, J. Yang, S.Y. Hiroi, N. Alper, O.M. Baker, C.I. Bitzer, M. Chacko, G. Debrabant, B. Dixon, R. Forano, E. Gilliham, M. Kelly, S. Klempnauer, K.-H. Lidbury, B.A. Lin, M.Z. Lynch, I. Ma, W. Maibach, E.W. Mather, D.E. Nandakumar, K.S. Ohgami, R.S. Parchi, P. Tressoldi, P. Xue, Y. Armitage, C. Barraud, P. Chatzitheochari, S. Coelho, L.P. Diao, J. Doxey, A.C. Gobet, A. Hu, P. Kaiser, S. Mitchell, K.M. Salama, M.F. Shabalin, I.G. Song, H. Stevanovic, D. Yadollahpour, A. Zeng, E. Zinke, K. Alimba, C.G. Beyene, T.J. Cao, Z. Chan, S.S. Gatchell, M. Kleppe, A. Piotrowski, M. Torga, G. Woldesemayat, A.A. Cosacak, M.I. Haston, S. Ross, S.A. Williams, R. Wong, A. Abramowitz, M.K. Effiong, A. Lee, S. Abid, M.B. Agarabi, C. Alaux, C. Albrecht, D.R. Atkins, G.J. Beck, C.R. Bonvin, A.M.J.J. Bourke, E. Brand, T. Braun, R.J. Bull, J.A. Cardoso, P. Carter, D. Delahay, R.M. Ducommun, B. Duijf, P.H.G. Epp, T. Eskelinen, E.-L. Fallah, M. Farber, D.B. Fernandez-Triana, J. Feyerabend, F. Florio, T. Friebe, M. Furuta, S. Gabrielsen, M. Gruber, J. Grybos, M. Han, Q. Heinrich, M. Helanterä, H. Huber, M. Jeltsch, A. Jiang, F. Josse, C. Jurman, G. Kamiya, H. de Keersmaecker, K. Kristiansson, E. de Leeuw, F.-E. Li, J. Liang, S. Lopez-Escamez, J.A. Lopez-Ruiz, F.J. Marchbank, K.J. Marschalek, R. Martín, C.S. Miele, A.E. Montagutelli, X. Morcillo, E. Nicoletti, R. Niehof, M. O'Toole, R. Ohtomo, T. Oster, H. Palma, J.-A. Paterson, R. Peifer, M. Portilla, M. Portillo, M.C. Pritchard, A.L. Pusch, S. Raghava, G.P.S. Roberts, N.J. Ross, K. Schuele, B. Sergeant, K. Shen, J. Stella, A. Sukocheva, O. Uversky, V.N. Vanneste, S. Villet, M.H. Viveiros, M. Vorholt, J.A. Weinstock, C. Yamato, M. Zabetakis, I. Zhao, X. Ziegler, A. Aizat, W.M. Atlas, L. Bridges, K.M. Chakraborty, S. Deschodt, M. Domingues, H.S. Esfahlani, S.S. Falk, S. Guisado, J.L. Kane, N.C. Kueberuwa, G. Lau, C.L. Liang, D. Liu, E. Luu, A.M. Ma, C. Ma, L. Moyer, R. Norris, A.D. Panthee, S. Parsons, J.R. Peng, Y. Pinto, I.M. Reschke, C.R. Sillanpää, E. Stewart, C.J. Uhle, F. Yang, H. Zhou, K. Zhu, S. Ashry, M. Bergsland, N. Berthold, M. Chen, C.-E. Colella, V. Cuypers, M. Eskew, E.A. Fan, X. Gajda, M. Gonzálezlez-Prendes, R. Goodin, A. Graham, E.B. Groen, E.J.N. Gutiérrez-Sacristán, A. Habes, M. Heffler, E. Higginbottom, D.B. Janzen, T. Jayaraman, J. Jibb, L.A. Jongen, S. Kinyanjui, T. Koleva-Kolarova, R.G. Li, Z. Liu, Y.-P. Lund, B.A. Lussier, A.A. Ma, L. Mier, P. Moore, M.D. Nagler, K. Orme, M.W. Pearson, J.A. Prajapati, A.S. Saito, Y. Tröder, S.E. Uchendu, F. Verloh, N. Voutchkova, D.D. Abu-Zaid, A. Bakkach, J. Baumert, P. Dono, M. Hanson, J. Herbelet, S. Hobbs, E. Kulkarni, A. Kumar, N. Liu, S. Loft, N.D. Reddan, T. Senghore, T. Vindin, H. Xu, H. Bannon, R. Chen, B. Cheung, J.T.K. Cooper, J. Esnakula, A.K. Feghali, K.A. Ghelardi, E. Gnasso, A. Horbar, J. Lai, H.M. Li, J. Ma, L. Ma, R. Pan, Z. Peres, M.A. Pranata, R. Seow, E. Sydes, M. Testoni, I. Westermair, A.L. Yang, Y. Afnan, M. Albiol, J. Albuquerque, L.G. Amir, S. Amiya, E. Amorim, R.M. An, Q. Andersen, S.U. Aplin, J.D. Argyropoulos, C. Asmann, Y.W. Assaeed, A.M. Atanasov, A.G. Atchison, D.A. Avery, S.V. Avillach, P. Baade, P.D. Backman, L. Badie, C. Baldi, A. Ball, E. Bardot, O. Barnett, A.G. Basner, M. Batra, J. Bazanova, O.M. Beale, A. Beddoe, T. Bell, M.L. Berezikov, E. Berners-Price, S. Bernhardt, P. Berry, E. Bessa, T.B. Billington, C. Birch, J. Blakely, R.D. Blaskovich, M.A.T. Blum, R. Boelaert, M. Bogdanos, D. Bosch, C. Bourgoin, T. Bouvard, D. Boykin, L.M. Bradley, G. Braun, D. Brownlie, J. Brühl, A. Burt, A. Butler, L.M. Byrareddy, S.N. Byrne, H.J. Cabantous, S. Calatayud, S. Candal, E. Carlson, K. Casillas, S. Castelvetro, V. Caswell, P.T. Cavalli, G. Cerovsky, V. Chagoyen, M. Chen, C.-S. Chen, D.F. Chen, H. Chen, H. Chen, J.-T. Chen, Y. Cheng, C. Cheng, J. Chinapaw, M. Chinopoulos, C. Cho, W.C.S. Chong, L. Chowdhury, D. Chwalibog, A. Ciresi, A. Cockcroft, S. Conesa, A. Cook, P.A. Cooper, D.N. Coqueret, O. Corea, E.M. Costa, A. Costa, E. Coupland, C. Crawford, S.Y. Cruz, A.D. Cui, H. Cui, Q. Culver, D.C. D'Angiulli, A. Dahms, T.E.S. Daigle, F. Dalgleish, R. Danielsen, H.E. Darras, S. Davidson, S.M. Day, D.A. Degirmenci, V. Demaison, L. Devriendt, K. Ding, J. Dogan, Y. Dong, X.C. Donner, C.F. Dressick, W. Drevon, C.A. Duan, H. Ducho, C. Dumaz, N. Dwarakanath, B.S. Ebell, M.H. Eisenhardt, S. Elkum, N. Engel, N. Erickson, T.B. Fairhead, M. Faville, M.J. Fejzo, M.S. Festa, F. Feteira, A. Flood-Page, P. Forsayeth, J. Fox, S.A. Franks, S.J. Frentiu, F.D. Frilander, M.J. Fu, X. Fujita, S. Galea, I. Galluzzi, L. Gani, F. Ganpule, A.P. García-Alix, A. Gedye, K. Giordano, M. Giunta, C. Gleeson, P.A. Goarant, C. Gong, H. Gora, D. Gough, M.J. Goyal, R. Graham, K.E. Grande-Pérez, A. Graves, P.M. Greidanus, H. Grice, D. Grunau, C. Gumulya, Y. Guo, Y. Gurevich, V.V. Gusev, O. Hacker, E. Hage, S.R. Hagen, G. Hahn, S. Haller, D.M. Hammerschmidt, S. Han, J. Han, R. Handfield, M. Hapuarachchi, H.C. Harder, T. Hardingham, J.E. Heck, M. Heers, M. Hew, K.F. Higuchi, Y. Hilaire, C.St. Hilton, R. Hodzic, E. Hone, A. Hongoh, Y. Hu, G. Huber, H.P. Hueso, L.E. Huirne, J. Hurt, L. Idborg, H. Ikeo, K. Ingley, E. Jakeman, P.M. Jensen, A. Jia, H. Jia, H. Jia, S. Jiang, J. Jiang, X. Jin, Y. Jo, D. Johnson, A.M. Johnston, M. Jonscher, K.R. Jorens, P.G. Jorgensen, J.O.L. Joubert, J.W. Jung, S.-H. Junior, A.M. Kahan, T. Kamboj, S.K. Kang, Y.-K. Karamanos, Y. Karp, N.A. Kelly, R. Kenna, R. Kennedy, J. Kersten, B. Khalaf, R.A. Khalid, J.M. Khatlani, T. Khider, T. Kijanka, G.S. King, S.R.B. Kluz, T. Knox, P. Kobayashi, T. Koch, K.-W. Kohonen-Corish, M.R.J. Kong, X. Konkle-Parker, D. Korpela, K.M. Kostrikis, L.G. Kraiczy, P. Kratz, H. Krause, G. Krebsbach, P.H. Kristensen, S.R. Kumari, P. Kunimatsu, A. Kurdak, H. Kwon, Y.D. Lachat, C. Lagisz, M. Laky, B. Lammerding, J. Lange, M. Larrosa, M. Laslett, A.L. Laverman, G.D. Leclair, E.E. Lee, K.-W. Lee, M.-Y. Lee, M.-S. Li, G. Li, J. Lieb, K. Lim, Y.Y. Lindsey, M.L. Line, P.-D. Liu, D. Liu, F. Liu, H. Liu, H. Lloyd, V.K. Lo, T.-W. Locci, E. Loidl, J. Lorenzen, J. Lorkowski, S. Lovell, N.H. Lu, H. Lu, W. Lu, Z. Luengo, G.S. Lundh, L.-G. Lysy, P.A. Mabb, A. Mack, H.G. Mackey, D.A. Mahdavi, S.R. Maher, P. Maher, T. Maity, S.N. Malgrange, B. Mamoulakis, C. Mangoni, A.A. Manke, T. Manstead, A.S.R. Mantalaris, A. Marsal, J. Marschall, H.-U. Martin, F.L. Martinez-Raga, J. Martinez-Salas, E. Mathieu, D. Matsui, Y. Maza, E. McCutcheon, J.E. McKay, G.J. McMillan, B. McMillan, N. Meads, C. Medina, L. Merrick, B.A. Metzger, D.W. Meunier, F.A. Michaelis, M. Micheau, O. Mihara, H. Mintz, E.M. Mizukami, T. Moalic, Y. Mohapatra, D.P. Monteiro, A. Montes, M. Moran, J.V. Morozov, S.Y. Mort, M. Murai, N. Murphy, D.J. Murphy, S.K. Murray, S.A. Naganawa, S. Nammi, S. Nasios, G. Natoli, R.M. Nguyen, F. Nicol, C. van Nieuwerburgh, F. Nilsen, E.B. Nobile, C.J. O'Mahony, M. Ohlsson, S. Olatunbosun, O. Olofsson, P. Ortiz, A. Ostrikov, K. Otto, S. Outeiro, T.F. Ouyang, S. Paganoni, S. Page, A. Palm, C. Paradies, Y. Parsons, M.H. Parsons, N. Pascal, P. Paul, E. Peckham, M. Pedemonte, N. Pellizzon, M.A. Petrelli, M. Pichugin, A. Pinto, C.J.C. Plevris, J.N. Pollesello, P. Polz, M. Ponti, G. Porcelli, P. Prince, M. Quinn, G.P. Quinn, T.J. Ramula, S. Rappsilber, J. Rehfeldt, F. Reiling, J.H. Remacle, C. Rezaei, M. Riddick, E.W. Ritter, U. Roach, N.W. Roberts, D.D. Robles, G. Rodrigues, T. Rodriguez, C. Roislien, J. Roobol, M.J. Rowe, A. Ruepp, A. van Ruitenbeek, J. Rust, P. Saad, S. Sack, G.H. Santos, M. Saudemont, A. Sava, G. Schrading, S. Schramm, A. Schreiber, M. Schuler, S. Schymkowitz, J. Sczyrba, A. Seib, K.L. Shi, H.-P. Shimada, T. Shin, J.-S. Shortt, C. Silveyra, P. Skinner, D. Small, I. Smeets, P.A.M. So, P.-W. Solano, F. Sonenshine, D.E. Song, J. Southall, T. Speakman, J.R. Srinivasan, M.V. Stabile, L.P. Stasiak, A. Steadman, K.J. Stein, N. Stephens, A.W. Stewart, D.I. Stine, K. Storlazzi, C. Stoynova, N.V. Strzalka, W. Suarez, O.M. Sultana, T. Sumant, A.V. Summers, M.J. Sun, G. Tacon, P. Tanaka, K. Tang, H. Tanino, Y. Targett-Adams, P. Tayebi, M. Tayyem, R. Tebbe, C.C. Telfer, E.E. Tempel, W. Teodorczyk-Injeyan, J.A. Thijs, G. Thorne, S. Thrift, A.G. Tiffon, C. Tinnefeld, P. Tjahjono, D.H. Tolle, F. Toth, E. Del Tredici, A.L. Tsapas, A. Tsirigotis, K. Turak, A. Tzotzos, G. Udo, E.E. Utsumi, T. Vaidyanathan, S. Vaillant, M. Valsesia, A. Vandenbroucke, R.E. Veiga, F.H. Vendrell, M. Vesk, P.A. Vickers, P. Victor, V.M. Villemur, R. Vohl, M.-C. Voolstra, C.R. 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Pheko, M. Pinto, K.A. Piovesan, A. Pluess, M. Podolsky, I.M. Prescott, J. Qi, D. Qi, X. Raikou, V.D. Ranft, A. Rhodes, J. Rotge, J.-Y. Rowe, A.D. Saggar, M. Schuon, R.A. Shahid, S. Shalchyan, V. Shirvalkar, P. Shiryayev, O. Singh, J. Smout, M.J. Soares, A. Song, C. Srivastava, K. Srivastava, R.K. Sun, J. Szabo, A. Szymanski, W. Tai, C.N.P. Takeuchi, H. Tanadini-Lang, S. Tang, F. Tao, W. Theron, G. Tian, C.F. Tian, Y.-S. Tuttle, L.M. Valenti, A. Verlot, P. Walker, M. Wang, J. Welter, D. Winslade, M. Wu, D. Wu, Y.-R. Xiao, H. Xu, B. Xu, J. Xu, Z. Yang, D. Yang, M. Yankilevich, P. You, Y. Yu, C. Zhan, J. Zhang, G. Zhang, K. Zhang, T. Zhang, Y. Zhao, G. Zhao, J. Zhou, X. Zhu, Z. Ajani, P.A. Anazodo, U.C. Bagloee, S.A. Bail, K. Bar, I. Bathelt, J. Benkeser, D. Bernier, M.L. Blanchard, A.M. Boakye, D.W. Bonatsos, V. Boon, M.H. Bouboulis, G. Bromfield, E. Brown, J. Bul, K.C.M. Burton, K.J. Butkowski, E.G. Carroll, G. Chao, F. Charrier, E.E. Chen, X. Chen, Y.-C. Chenguang Choi, J.R. Christoffersen, T. Comel, J.C. Cosse, C. Cui, Y. van Dessel, P. Dhaval Diodato, D. Duffey, M. Dutt, A. Egea, L.G. El-Said, M. Faye, M. Fernandez-Fernandez, B. Foley, K.G. Founou, L.L. Fu, F. Gadelkareem, R.A. Galimov, E. Garip, G. Gemmill, A. Gouil, Q. Grey, J. Gridneva, Z. Grothe, M.J. Grébert, T. Guerrero, F. Guignard, L. Haenssgen, M.J. Hasler, D. Holgate, J.Y. Huang, A. Hulse-Kemp, A.M. Jean-Quartier, C. Jeon, S.-M. Jia, Y. Jutzeler, C. Kalatzis, P. Karim, M. Karsay, K. Keitel, A. Kempe, A. Keown, J.R. Khoo, C.M. Khwaja, N. Kievit, R.A. Kosanic, S. Koutoukidis, D.A. Kramer, P. Kumar, D. Kiraǧ, N. Lanza, G. Le, T.D. Leem, J.W. Leightley, D. Leite, A. Lercher, L. Li, Y. Lim, R. Lima, L.R.A. Lin, L. Ling, T. Liu, Y. Liu, Z. Lu, Y. Lum, F.M. Luo, H. Machhi, J. Macleod, A. Macwan, I. Madala, H.R. Madani, N. de Maio, N. Makowiecki, K. Mallinson, D.J. Margelyte, R. Maria, C. Markonis, Y. Marsili, L. Mavoa, S. McWilliams, L. Megersa, M. Souto-Maior, C. Menichetti, J. Mercieca-Bebber, R. 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Webster, R. Wei, J. Wibowo, D. Wingenbach, T.S.H. Xavier, R.M. Xiao, S. Xiong, P. Xu, S. Xu, S. Yao, R. Yao, W. Yin, Q. Yu, Y. Zaitsu, M. Zeineb, Z. Zhan, X.-Y. Zhang, J. Zhang, R. Zhang, W. Zhang, X. Zheng, S. Zhou, B. Zhou, X. Ahmad, H. Akinwumi, S.A. Albery, G.F. Alhowimel, A. Ali, J. Alshehri, M. Alsuhaibani, M. Anikin, A. Azubuike, S.O. Bach-Mortensen, A. Baltiansky, L. Bartas, M. Belachew, K.Y. Bhardwaj, V. Binder, K. Bland, N.S. Boah, M. Bullen, B. Calabrò, G.E. Callahan, T.J. Cao, B. Chalmers, K. Chang, W. Che, Z. Chen, A.T.Y. Chen, H. Chen, H. Chen, Y. Chen, Z. Choi, Y. Chowdhury, M.A.K. Christensen, M.R. Cooke, R.S.C. Cottini, M. Covington, N.V. Cunningham, C. Delarocque, J. Devos, L. Dhar, A.R. Ding, K.-F. Dong, K. Dong, Z. Dreyer, N. Ekstrand, C. Fardet, T. Feleke, B.E. Feurer, T. Freitas, A. Gao, T. Gebremedhin Giganti, F. Grabowski, P. Guerra-Mora, J.R. Guo, C. Guo, X. Gupta, H. He, S. Heijne, M. Heinemann, S. Hogrebe, A. Huang, Z. Iskander-Rizk, S. Iyer, L.M. Jahan, Y. James, A.S. Joel, E. Joffroy, B. Jégousse, C. Kambondo, G. Karnati, P. Kaya, C. Ke, A. Kelly, D. Kickert, R. Kidibule, P.E. Kieselmann, J.P. Kim, H.J. Kitazawa, T. Lamberts, A. Li, Y. Liang, H. Linn, S.N. Litfin, T. Liusuo, W. Lygirou, V. Mahato, A.K. Mai, Z.-M. Major, R.W. Mali, S. Mallis, P. Mao, W. Marvin-Dowle, K. Mason, L.D. Merideth, B. Merino-Plaza, M.J. Merlaen, B. Messina, R. Mishra, A.K. Muhammad, J. Musinguzi, C. Nanou, A. Naqash, A. Nguyen, J.T. Nguyen, T.T.H. Ni, D. Nida Notcovich, S. Ohst, B. Ollivier, Q.R. Osses, D.F. Peng, X. Plantinga, A. Pulia, M. Rafiq, M. Raman, A. Raucher-Chéné Rawski, R. Ray, A. Razak, L.A. Rudolf, K. Rusch, P. Sadoine, M.L. Schmidt, A. Schurr, R. Searles, S. Sharma, S. Sheehan, B. Shi, C. Shohayeb, B. Sommerlad, A. Strehlow, J. Sun, X. Sundar, R. Taherzadeh, G. Tahir, N.D.M. Tang, J. Testa, J. Tian, Z. Tingting, Q. Verheijen, G.P. Vickstrom, C. Wang, T. Wang, X. Wang, Z. Wei, P. Wilson, A. Wyart Yassine, A.-A. Yousefzadeh, A. Zare, A. Zeng, Z. Zhang, C. Zhang, H. Zhang, L. Zhang, T. Zhang, W. Zhang, Z. Zhou, J. Zhu, D. Adamo, V. Adeyemo, A.A. Aggelidou, M. Al-Owaifeer, A.M. Al-Riyami, A.Z. Alzghari, S.K. Andersen, V. Angus, K. Asaduzzaman, M. Asady, H. Ato, D. Bai, X. Baines, R.L. Ballantyne, M. Ban, B. Beck, J. Ben-Nafa, W. Black, E. Blancher, A. Blankstein, R. Bodagh, N. Borges, P. Brooks, A. Brox-Ponce, J. Brunetti, A. Canham, C.D. Carninci, P. Carvajal, R. Chang, S.C. Chao, J. Chatterjee, P. Chen, H. Chen, L. Chen, Y.-C. Chhatriwalla, A.K. Chikowe, I. Chuang, T.-J. Collevatti, R.G. Cornejo, D.A.V. Cuenda, A. Dao, M. Dauga, D. Deng, Z. Devkota, K. Doan, L.V. Elewa, Y.H.A. Fan, D. Faruk, M. Feifei, S. Ferguson, T.S. Fleres, F. Foster, E.J. Foster, S. Furer, T. Gao, Y. Garcia-Rivera, E.J. Gazdar, A. George, R.B. Ghosh, S. Gianchecchi, E. Gleason, J.M. Hackshaw, A. Hall, A. Hall, R. Harper, P. Hogg, W.E. Huang, G. Hunter, K.E. Ijzerman, A.P. Jesus, C. Jian, G. Lewis, J.S., Jr. Kanj, S.S. Kaur, H. Kelly, S. Kheir, F. Kichatova, V.S. Kiyani, M. Klein, R. Kovesi, T. Kraschnewski, J.L. Kumar, A.P. Labutin, D. Lazo-Langner, A. Leclercq, G. Li, M. Li, Q. Li, T. Li, Y. Liao, W.-T. Liao, Z.-Y. Lin, J. Lizer, J. Lobreglio, G. Lowies, C. Lu, C. Majeed, H. Martin, A. Martinez-Sobrido, L. Meresh, E. Middelveen, M. Mohebbi, A. Mota, J. Mozaheb, Z. Muyaya, L. Nandhakumar, A. Ng, S.H.X. Obeidat, M. Oh, D.-H. Owais, M. Pace-Asciak, P. Panwar, A. Park, C. Patterson, C. Penagos-Tabaree, F. Pianosi, P.T. Pinzi, V. Pridans, C. Psaroulaki, A. Pujala, R.K. Pulido-Arjona, L. Qi, P.-F. Rahman, P. Rai, N.K. Rassaf, T. Refardt, J. Ricciardi, W. Riess, O. Rovas, A. Sacks, F.M. Saleh, S. Sampson, C. Schmutz, A. Sepanski, R. Sharma, N. Singh, M. Spearman, P. Subramaniapillai, M. Swali, R. Tan, C.M. Tellechea, J.I. Thomas, L.-M. Tong, X. Vavvas, D.G. Veys, R. Vitriol, V. Wang, H.-D. Wang, J. Wang, J. Waugh, J. Webb, S.A. Williams, B.A. Workman, A.D. Xiang, T. Xie, L.-X. Xu, J. Xu, T. Yang, C. Yoon, J.G. Yuan, C.M. Zaritsky, A. Zhang, Y. Zhao, H. Zuckerman, H. Lyu, R. Pullan, W. RELISH Consortium

Abstract

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical science. © The Author(s) 2019. Published by Oxford University Press.

Published
2019

248. Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Author

Brown, P., Zhou, Y., Tan, A.C., El-Esawi, M.A., Liehr, T., Blanck, O., Gladue, D.P., Almeida, G.M.F., Cernava, T., Sorzano, C.O., Yeung, A.W.K., Engel, M.S., Chandrasekaran, A.R., Muth, T., Staege, M.S., Daulatabad, S.V., Widera, D., Zhang, J., Meule, A., Honjo, K., Pourret, O., Yin, C.C., Zhang, Z., Cascella, M., Flegel, W.A., Goodyear, C.S., van Raaij, M.J., Bukowy-Bieryllo, Z., Campana, L.G., Kurniawan, N.A., Lalaouna, D., Hüttner, F.J., Ammerman, B.A., Ehret, F., Cobine, P.A., Tan, E.C., Han, H., Xia, W., McCrum, C., Dings, R.P.M., Marinello, F., Nilsson, H., Nixon, B., Voskarides, K., Yang, L., Costa, V.D., Bengtsson-Palme, J., Bradshaw, W., Grimm, D.G., Kumar, N., Martis, E., Prieto, D., Sabnis, S.C., Amer, S.E.D.R., Liew, A.W.C., Perco, P., Rahimi, F., Riva, G., Zhang, C., Devkota, H.P., Ogami, K., Basharat, Z., Fierz, W., Siebers, R., Tan, K.H., Boehme, K.A., Brenneisen, P., Brown, J.A.L., Dalrymple, B.P., Harvey, D.J., Ng, G., Werten, S., Bleackley, M., Dai, Z., Dhariwal, R., Gelfer, Y., Hartmann, M.D., Miotla, P., Tamaian, R., Govender, P., Gurney-Champion, O.J., Kauppila, J.H., Zhang, X., Echeverría, N., Subhash, S., Sallmon, H., Tofani, M., Bae, T., Bosch, O., Cuív, P.O., Danchin, A., Diouf, B., Eerola, T., Evangelou, E., Filipp, F., Klump, H., Kurgan, L., Smith, S.S., Terrier, O., Tuttle, N., and Wiener, J.M.

Abstract

© The Author(s) 2019. Published by Oxford University Press. Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical science.

Published
2019

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