Research Topics
| Gregory CooperSummaryAffiliation: University of Pittsburgh Country: USA Publications
Research Grants
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Detail Information
Publications
Predicting dire outcomes of patients with community acquired pneumoniaGregory F Cooper
Center for Biomedical Informatics, University of Pittsburgh, Suite 8084 Forbes Tower, 200 Lothrop Street, Pittsburgh, PA 15213, USA
J Biomed Inform 38:347-66. 2005..Therefore, seeking models with the highest possible level of predictive performance is important. Consequently, seeking ever better machine-learning and statistical modeling methods is of great practical significance...- A Bayesian spatio-temporal method for disease outbreak detectionXia Jiang
Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
J Am Med Inform Assoc 17:462-71. 2010..Differences in the detection performance of PC and PCTS are examined. The results show that the spatio-temporal Bayesian approach performs well, relative to the non-spatial, non-temporal approach... - Learning patient-specific predictive models from clinical dataShyam Visweswaran
Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA
J Biomed Inform 43:669-85. 2010..Our results provide support that the performance of an algorithm for learning patient-specific models can be improved by using a local structure representation for MB models and by performing Bayesian model averaging... - Bayesian rule learning for biomedical data miningVanathi Gopalakrishnan
Department of Biomedical Informatics, University of Pittsburgh, 200 Meyran Avenue Suite M 183, Pittsburgh, PA 15260, USA
Bioinformatics 26:668-75. 2010..Moreover, BRL produces models that contain on average 70% fewer variables, which means that the biomarker panels for disease prediction contain fewer markers for further verification and validation by bench scientists... - Bayesian prediction of an epidemic curveXia Jiang
Department of Biomedical Informatics, University of Pittsburgh, Parkvale Building, M 183, 200 Meyran Avenue, Pittsburgh, PA 15260, USA
J Biomed Inform 42:90-9. 2009..We develop a model for estimating an epidemic curve early in an outbreak, and we show results of experiments testing its accuracy... - Estimating the joint disease outbreak-detection time when an automated biosurveillance system is augmenting traditional clinical case findingYanna Shen
Intelligent Systems Program, University of Pittsburgh, 5113 Sennott Square, 210 S Bouquet St, Pittsburgh, PA 15260, USA
J Biomed Inform 41:224-31. 2008..The results support that such analyses are useful in assessing the extent to which computer-based outbreak detection systems are expected to augment traditional clinician outbreak detection... - The Bayesian aerosol release detector: an algorithm for detecting and characterizing outbreaks caused by an atmospheric release of Bacillus anthracisWilliam R Hogan
The RODS Laboratory, Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA 15260, USA
Stat Med 26:5225-52. 2007..We report a proof-of-concept evaluation of BARD, which demonstrates that the approach shows promise and warrants further development and evaluation... - Evaluation of preprocessing techniques for chief complaint classificationJagan Dara
Department of Biomedical Informatics, University of Pittsburgh, 200 Meyran Avenue, VALE M 183, Pittsburgh, PA 15260, USA
J Biomed Inform 41:613-23. 2008..To determine whether preprocessing chief complaints before automatically classifying them into syndromic categories improves classification performance... - Inflammatory markers at hospital discharge predict subsequent mortality after pneumonia and sepsisSachin Yende
The Clinical Research, Investigation, and Systems Modeling of Acute Illness CRISMA Laboratory, Department of Critical Care Medicine, Graduate School of Pubic Health, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, USA
Am J Respir Crit Care Med 177:1242-7. 2008..Survivors of hospitalization for community-acquired pneumonia (CAP) are at increased risk of cardiovascular events, repeat infections, and death in the following months but the cause is unknown... - A prediction rule to identify low-risk patients with heart failureThomas E Auble
Department of Emergency Medicine, University of Pittsburgh, Pittsburgh, PA, USA
Acad Emerg Med 12:514-21. 2005..Model performance needs to be examined in a cohort of patients with an ED diagnosis of heart failure and treated as outpatients or hospitalized... - Causal discovery using a Bayesian local causal discovery algorithmSubramani Mani
Center for Biomedical Informatics and Intelligent Systems Program, University of Pittsburgh, Pittsburgh, PA, USA
Stud Health Technol Inform 107:731-5. 2004..Three out of the six relationships seem plausible. Even though we have not yet discovered a clinically novel causal link, we plan to look for novel causal pathways using the full sample... - Creating a text classifier to detect radiology reports describing mediastinal findings associated with inhalational anthrax and other disordersWendy Webber Chapman
Center for Biomedical Informatics, University of Pittsburgh, Suite 8084 Forbes Tower, Pittsburgh, PA 15213, USA
J Am Med Inform Assoc 10:494-503. 2003..The aim of this study was to create a classifier for automatic detection of chest radiograph reports consistent with the mediastinal findings of inhalational anthrax... - Issues in applied statistics for public health bioterrorism surveillance using multiple data streams: research needsHenry Rolka
Centers for Disease Control and Prevention CDC, Division of Emergency Preparedness and Response, National Center for Public Health Informatics, 1600 Clifton Rd, NE MS D45, Atlanta, GA 30333, USA
Stat Med 26:1834-56. 2007..There are references to research issues throughout the sections with a summarization at the end, which also includes items previously unmentioned in the report... - An evaluation of a system that recommends microarray experiments to perform to discover gene-regulation pathwaysChangwon Yoo
420 Social Science, University of Montana, Missoula, MT 59812, USA
Artif Intell Med 31:169-82. 2004..The results show that the GEEVE system gives better results than two recently published approaches (1) in learning the generating models of gene regulation and (2) in recommending experiments to perform...
Research Grants
- EFFECTS OF DECISION SUPPORT SYSTEMS ON CLINICAL REASONINGregory Cooper; Fiscal Year: 2001..Under the second aim of our proposed work, we will create and maintain our set of 36 clinical cases as a reusable, calibrated resource for other researchers. ..
- Learning Patient-Specific Models from Clinical DataGregory Cooper; Fiscal Year: 2007..abstract_text> ..
- Predicting Patient Outcomes from Clinical and Genome-Wide DataGregory F Cooper; Fiscal Year: 2010....