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630 results on '"Reti S"'

30. Probabilistic fuzzy prediction of mortality in intensive care units

Author

Fialho, A. S., Uzay Kaymak, Almeida, R. J., Cismondi, F., Vieira, S. M., Reti, S. R., Sousa, J. M. C., Finkelstein, S. N., Ieee, and Information Systems IE&IS

Subjects
Estimation theory, business.industry, Fuzzy set, Probabilistic logic, Fuzzy control system, Machine learning, computer.software_genre, Fuzzy logic, Intensive care, Linguistic description, Artificial intelligence, business, computer, Probability measure, Mathematics
Abstract

In the present work, we propose the application of probabilistic fuzzy systems (PFS) to model the prediction of mortality in septic shock patients. This technique is characterized by the combination of the linguistic description of the system with the statistical properties of data. Preliminary results for this particular clinical problem point that PFS models, besides performing as accurately as first order Takagi-Sugeno fuzzy models, also provide probability measures that provide additional clinical information upon which physicians can act on.

Published
2012

32. Evaluation of the use of an 'ask-the-expert' e-consultation service for support on health-related requests

Author

Nijland, N., van Gemert-Pijnen, J.E.W.C., Kelders, S.M., Brandenburg, B.J., Seydel, E.R., Safran, C., Reti, S., Marin, H.F., and Psychology, Health & Technology

Subjects
Internet, Patient-provider communication, E-mail, Primary care, E-consultation
Abstract

E-consultation in health care can be used to respond to an increasing demand for care by offering support on health-related requests. In this study we evaluated the use of an "ask-the-expert" e-consultation service in order to assess whether the service is efficient and useful. A content analysis of e-mail exchange between clients and online health professionals was performed to gain insight in the purposes of use of the service. Our findings show that the e-consultation service was used for health requests on not urgent, minor ailments. Clients asked for health information to increase knowledge on the cause of their injury or disease, its consequences, possible self-care solutions and treatment options. Decision support on assessing the necessity to visit a doctor for a certain health problem was another important reason to use the service. We believe that web-based triage systems could be used to more easily assess whether certain symptoms need to be investigated.

Published
2010

34. Design and evaluation of a semantic approach for the homogeneous identification of events in eight patient databases: a contribution to the European EU-ADR project

Author

Safran, C, Reti, S, Marin, HF, Avillach, P, Joubert, M, Thiessard, F, Trifirò, G, Dufour, J, Pariente, A, Mougin, F, Polimeni, G, Catania, M, Giaquinto, C, Mazzaglia, G, Fornari, C, Herings, R, Gini, R, Hippisley-Cox, J, Molokhia, M, Pedersen, L, Fourrier-Réglat, A, Sturkenboom, M, Fieschi, M, Safran, C, Reti, S, Marin, HF, Avillach, P, Joubert, M, Thiessard, F, Trifirò, G, Dufour, J, Pariente, A, Mougin, F, Polimeni, G, Catania, M, Giaquinto, C, Mazzaglia, G, Fornari, C, Herings, R, Gini, R, Hippisley-Cox, J, Molokhia, M, Pedersen, L, Fourrier-Réglat, A, Sturkenboom, M, and Fieschi, M

Abstract

The overall objective of the EU-ADR project is the design, development, and validation of a computerised system that exploits data from electronic health records and biomedical databases for the early detection of adverse drug reactions. Eight different databases, containing health records of more than 30 million European citizens, are involved in the project. Unique queries cannot be performed across different databases because of their heterogeneity: Medical record and Claims databases, four different terminologies for coding diagnoses, and two languages for the information described in free text. The aim of our study was to provide database owners with a common basis for the construction of their queries. Using the UMLS, we provided a list of medical concepts, with their corresponding terms and codes in the four terminologies, which should be considered to retrieve the relevant information for the events of interest from the databases.

Published
2010

45. Disease-based Modeling to Predict Fluid Response in Intensive Care Units.

Author

Fialho, A. S., Celi, L. A., Cismondi, F., Vieira, S. M., Reti, S. R., Sousa, J. M. C., and Finkelstein, S. N.

Subjects
PNEUMONIA diagnosis, BODY fluid analysis, INTENSIVE care units, RESUSCITATION, VASOCONSTRICTORS, COHORT analysis, PNEUMONIA, CHILD patients, PATIENTS
Abstract

Objective: To compare general and diseasebased modeling for fluid resuscitation and vasopressor use in intensive care units. Methods: Retrospective cohort study involving 2944 adult medical and surgical intensive care unit (ICU) patients receiving fluid resuscitation. Within this cohort there were two disease-based groups, 802 patients with a diagnosis of pneumonia, and 143 patients with a diagnosis of pancreatitis. Fluid resuscitation either progressing to subsequent vasopressor administration or not was used as the primary outcome variable to compare general and disease-based modeling. Results: Patients with pancreatitis, pneumonia and the general group all shared three common predictive features as core variables, arterial base excess, lactic acid and platelets. Patients with pneumonia also had non-invasive systolic blood pressure and white blood cells added to the core model, and pancreatitis patients additionally had temperature. Disease-based models had significantly higher values of AUC (p < 0.05) than the general group (0.82 ± 0.02 for pneumonia and 0.83 ± 0.03 for pancreatitis vs. 0.79 ± 0.02 for general patients). Conclusions: Disease-based predictive modeling reveals a different set of predictive variables compared to general modeling and improved performance. Our findings add support to the growing body of evidence advantaging disease specific predictive modeling. [ABSTRACT FROM AUTHOR]

Published
2013
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