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4,775 results on '"Raja, M."'

61. Prospective Cohort Study to Compare Long-Term Lung Cancer-Specific and All-Cause Survival of Clinical Early Stage (T1a–b; ≤20 mm) NSCLC Treated by Stereotactic Body Radiation Therapy and Surgery

Author

Flores, Raja, Kaufman, Andrew, Lee, Dong-Seok, Nicastri, Daniel, Wolf, Andrea, Song, Kimberly, Rosenzweig, Kenneth, Gomez, Jorge, Samstein, Robert, Dutta, Pinaki, Beasley, Mary Beth, Zakowski, Maureen, Chung, Michael, Yankelevitz, David F., Henschke, Claudia I., Taioli, Emanuela, Schwartz, Rebecca, Chan, Huiwen, Zhu, Jeffrey, Kantor, Sydney, Woode, Sydney, Hakami, Ardeshir, Buyuk, Arzu, Friedman, Adie, Dreifuss, Ronald, Verzosa, Stacey, Yakubox, Mariya, Aloferdova, Karina, Stacey, Patricia, De Nobrega, Simone, Lentini, Lauren, Pass, Harvey, Cooper, Benjamin, Moreirea, Andre, Sorensen, Audrey, Kohman, Leslie, Dunton, Robert, Wallen, Jason, Curtiss, Christopher, Scalzetti, Ernest, Ellinwood, Linda, Tannous, Henry, Connery, Cliff P., Torres, Emilo, Cruzer, Dan, Gendron, Bruce, Alyea, Sonya, Krumholtz, Pramila, Watkins, Ammara, Servais, Elliot, Stock, Cameron, McKee, Andrea, Lopez, Edilin, Hsu, Howard, Hunter, Kaudia, Lemons, Jeffrey, Nixon, Asa, Osa, Etin-Osa, Lee, Paul, Hyman, Kevin, Jurado, Julisa, Zeltman, David, Glassman, Lawrence, Sharma, Rajiv, Singh, Vijay, Milhelis, Efstathia, Karan, Nandanee, Rzyman, Witold, Dziedzic, Robert, Henschke, Claudia, Yankelevitz, David, Jirapatnakul, Artit, Yip, Rowena, Zulueta, Javier J., Reeves, A.P., Altorki, Nasser K., Smith, James P., Libby, Daniel M., Pasmantier, Mark, Markowitz, Steven, Miller, Albert, Deval, Jose Cervera, Shaham, Dorith, Seijo, Luis, Bastarika, Gorka, Montuenga, Luis M., Spring, Silver, Aylesworth, Cheryl, Klingler, Karl, Schöb, Othmar, Andaz, Shahriyour, Straznicka, Michaela, Chin, Cynthia, Weiser, Todd, Sone, Shusuke, Hanaoka, Takaomi, Roberts, Heidi, Patsios, Demetris, Scopetuolo, M., Brown, Andrew, Wu, Ning, Cole, Enser, Yeh, Diana, Luedke, Dan, Liu, Xueguo, Herzog, Gary, Aye, Ralph, Rifkin, Matthew, Veronesi, Giula, Infante, Maurizio, Vafai, Davood, Kopel, Samuel, Taylor, Jana, Thurer, Richard, Villamizar, Nestor, Austin, John H.M., Pearson, Gregory D.N., Klippenstein, Donald, Litwin, Alan, Loud, Peter A., Kohman, Leslie J., Scalzetti, Ernest M., Khan, Arfa, Shah, Rakesh, Mayfield, William, Frumiento, Carmine, Smith, Michael V., Thorsen, M. Kristin, Hansen, Richard, Naidich, David, McGuinness, Georgeann, Widmann, Mark, Korst, Robert, Lowry, Joseph, Salvatore, Mary, Walsh, James, Bertsch, David, Scheinberg, Paul, Sheppard, Barry, Cecchi, Gary, Ginsberg, Michelle S., Welch, Laura, Raz, Dan J., Rotter, Arnold, Connery, Cliff, Matalon, Terence A.S., Cheung, Edson H., Glassberg, Robert, Olsen, David, Mullen, David, Odzer, Shari-Lynn, Wiernik, Peter H., Ray, Daniel, DeCunzo, Louis, Endress, Carmen, Vacca, Anthony, Kondapaneni, M., Lim, Melissa, Kalafer, Michael, Green, Jeremy, Yoder, Mark, Shah, Palmi, Camacho, Elmer, O’Brien, James, Willey, James C., Gordon, David, Kocha, Albert, Sun, Qi, Li, Pengfei, and Flores, Raja M.

Published
2024
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69. Automatic Underground Water Pipeline Fault Detection with Control in IoT

Author

Raja, M., Muthu Selvi, N., Reshnuvi, R. V., Varatharaj, R., Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Haddar, Mohamed, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Deepak, B. B. V. L., editor, Bahubalendruni, M. V. A. Raju, editor, Parhi, D. R. K., editor, and Biswal, B. B., editor

Published
2023
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73. State Budget’s Allocation Management Platform

Author

Dalali, Shivakumar, Kumar, G. Prem, Nishanth, S., Raja, M. N. Kumar, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Kumar, Amit, editor, Senatore, Sabrina, editor, and Gunjan, Vinit Kumar, editor

Published
2023
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74. A Compact Microstrip Antenna with DGS for Bluetooth Applications

Author

Chandra Sekhar, M., Suneel Raja, M., Sai Varshini, B., Gunapreetham, A., Neha, K., Vishal, G., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Satapathy, Suresh Chandra, editor, Lin, Jerry Chun-Wei, editor, Wee, Lai Khin, editor, Bhateja, Vikrant, editor, and Rajesh, T. M., editor

Published
2023
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75. A Cırcularly Polarızed Sıngle-Feed Patch Antenna for C-Band Satellıte Applıcatıons

Author

Chandra Sekhar, M., Suneel Raja, M., Sultana, Shaik Samreen, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Satapathy, Suresh Chandra, editor, Lin, Jerry Chun-Wei, editor, Wee, Lai Khin, editor, Bhateja, Vikrant, editor, and Rajesh, T. M., editor

Published
2023
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81. Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation

Author

Ullah, Amin, Anwar, Syed M., Bilal, Muhammad, and Mehmood, Raja M

Subjects
Electrical Engineering and Systems Science - Signal Processing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, 68T10, 62H30, I.4.7, I.5, I.2.10, G.3
Abstract

The electrocardiogram (ECG) is one of the most extensively employed signals used in the diagnosis and prediction of cardiovascular diseases (CVDs). The ECG signals can capture the heart's rhythmic irregularities, commonly known as arrhythmias. A careful study of ECG signals is crucial for precise diagnoses of patients' acute and chronic heart conditions. In this study, we propose a two-dimensional (2-D) convolutional neural network (CNN) model for the classification of ECG signals into eight classes; namely, normal beat, premature ventricular contraction beat, paced beat, right bundle branch block beat, left bundle branch block beat, atrial premature contraction beat, ventricular flutter wave beat, and ventricular escape beat. The one-dimensional ECG time series signals are transformed into 2-D spectrograms through short-time Fourier transform. The 2-D CNN model consisting of four convolutional layers and four pooling layers is designed for extracting robust features from the input spectrograms. Our proposed methodology is evaluated on a publicly available MIT-BIH arrhythmia dataset. We achieved a state-of-the-art average classification accuracy of 99.11\%, which is better than those of recently reported results in classifying similar types of arrhythmias. The performance is significant in other indices as well, including sensitivity and specificity, which indicates the success of the proposed method., Comment: 14 pages, 5 figures, accepted for future publication in Remote Sensing MDPI Journal

Published
2020
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88. Seroprevalence of COVID-19 infection in a rural district of Tamil Nadu: A population-based seroepidemiological study

Author

Kannan G, Aruna P, Nithyavikasini N, and Kumar Raja M

Subjects
seroprevalance, igg antibodies, anti sars-cov2 assay, reverse transcription polymerase chain reaction, chemiluminescent immunoassay, infection fatality rate, Medicine
Abstract

Background: Coronavirus disease 2019 (COVID-19) was a recent global pandemic of the era which posed a great challenge for the health care in terms of preventive, diagnostic and treatment dimensions. The seroprevalence rate of COVID IgG antibodies is very crucial in estimating the susceptibility of a particular area to the viral disease. In our study, we estimated the seroprevalence of COVID-19 in a rural area. Aims and Objectives: We aimed to estimate the seroprevalence of COVID-19 in a rural district of Tamil Nadu, 6 months after the index case. Materials and Methods: We conducted a cross-sectional study of 509 adults aged more than 18 years. From all the seven Taluks, two gram panchayats (administrative cluster of 8–10 villages) were randomly selected followed by one village through convenience. The participants were invited for the study to the community-based study kiosk set up in all the eight villages through village health committees. We collected sociodemographic characteristics and symptoms using a mobile application-based questionnaire, and we tested samples for the presence of IgG antibodies for severe acute respiratory syndrome coronavirus 2 using an electro chemiluminescent immunoassay. We calculated age-gender adjusted and test performance adjusted seroprevalence. Results: The age-and gender-adjusted seroprevalence was 8.5% (95% confidence interval [CI] 6.9–10.8%). The unadjusted seroprevalence among participants with hypertension and diabetes was 16.3% (95% CI: 9.2–25.8) and 10.7% (95% CI: 5.5–18.3), respectively. When we adjusted for the test performance, the seroprevalence was 6.1% (95% CI 4.02–8.17). The study estimated 7 (95% CI 1:4.5–1:9) undetected infected individuals for every reverse transcription polymerase chain reaction confirmed case. Infection fatality rate (IFR) was calculated as 12.38/10,000 infections as on October 22, 2020. History of self-reported symptoms and education were significantly associated with positive status (P

Published
2023
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89. A study on the prevalence of retinopathy in newly diagnosed Type 2 diabetes mellitus in a tertiary care center of Tamil Nadu

Author

Prakash G, Kumar Raja M, Kalaisezhian N, Yoganandh T, Vasanthakumar JA, and Nivedhapriya P

Subjects
newly diagnosed diabetes, type 2 diabetes mellitus, diabetic retinopathy, Medicine
Abstract

Background: Type 2 diabetes mellitus (Type 2 DM) is one of the leading risk factors for cardiovascular diseases. Although the awareness of the need for screening and treatment for Type-2 DM is widely prevalent, the awareness of complications arising out of it is not widespread. This article highlights the occurrence of diabetic retinopathy (DR) among newly detected diabetic patients. Aims and Objectives: The aim of the study was to study the prevalence of DR in patients who are diagnosed as having Type 2 diabetes mellitus for the first time. Materials and Methods: The present study involved 501 newly diagnosed Type 2 DM patients. Their history was recorded and the investigations done included haemoglobin (Hb), glycated Hb percent (HbA1c), fasting blood sugar, and post-prandial blood sugar. These patients underwent fundus examination through direct ophthalmoscope and slitlamp examination. Results: Out of the 501 patients in the study, 59.5% (298) had good knowledge about diabetes, but only 3.8% knew about retinopathy. A total of 71.5% of patients did not have periodic eye examination; the most common barrier identified was lack of awareness about the necessity for this (58.5%), 5.6% among the total population had an eye disease. Mild non-proliferative DR (NPDR) was found among 10 females and it was observed in eight males. Moderate NPDR was identified in three males and two females and while no severe cases were reported among the men, two were noted among the women. Conclusion: The study highlights the prevalence of retinopathy in newly diagnosed Type 2 DM population in tertiary care center hospital in Salem district. The study also highlights the importance of detection of Type 2 DM before the occurrence of complications which arise due to diabetes and screening for microvascular complications is necessary at the time of diagnosis of DM and periodically.

Published
2023
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