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Thomas A Lasko
Thomas A Lasko
Associate Professor of Biomedical Informatics, Vanderbilt University School of Medicine
Potvrđena adresa e-pošte na vanderbilt.edu - Početna stranica
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Citirano
Citirano
Godina
The use of receiver operating characteristic curves in biomedical informatics
TA Lasko, JG Bhagwat, KH Zou, L Ohno-Machado
Journal of biomedical informatics 38 (5), 404-415, 2005
10342005
Computational phenotype discovery using unsupervised feature learning over noisy, sparse, and irregular clinical data
TA Lasko, JC Denny, MA Levy
PloS one 8 (6), e66341, 2013
3752013
Portability of an algorithm to identify rheumatoid arthritis in electronic health records
RJ Carroll, WK Thompson, AE Eyler, AM Mandelin, T Cai, RM Zink, ...
Journal of the American Medical Informatics Association 19 (e1), e162-e169, 2012
2392012
Calibration drift in regression and machine learning models for acute kidney injury
SE Davis, TA Lasko, G Chen, ED Siew, ME Matheny
Journal of the American Medical Informatics Association 24 (6), 1052-1061, 2017
2372017
A study of active learning methods for named entity recognition in clinical text
Y Chen, TA Lasko, Q Mei, JC Denny, H Xu
Journal of biomedical informatics 58, 11-18, 2015
1812015
Development and evaluation of an ensemble resource linking medications to their indications
WQ Wei, RM Cronin, H Xu, TA Lasko, L Bastarache, JC Denny
Journal of the American Medical Informatics Association 20 (5), 954-961, 2013
1232013
Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals
PL Teixeira, WQ Wei, RM Cronin, H Mo, JP VanHouten, RJ Carroll, ...
Journal of the American Medical Informatics Association 24 (1), 162-171, 2016
962016
A nonparametric updating method to correct clinical prediction model drift
SE Davis, RA Greevy Jr, C Fonnesbeck, TA Lasko, CG Walsh, ...
Journal of the American Medical Informatics Association 26 (12), 1448-1457, 2019
912019
Melatonin suppression by illumination of upper and lower visual fields
TA Lasko, DF Kripke, JA Elliot
Journal of biological rhythms 14 (2), 122-125, 1999
901999
Predicting changes in hypertension control using electronic health records from a chronic disease management program
J Sun, CD McNaughton, P Zhang, A Perer, A Gkoulalas-Divanis, ...
Journal of the American Medical Informatics Association 21 (2), 337-344, 2013
832013
Predicting medications from diagnostic codes with recurrent neural networks
JM Bajor, TA Lasko
International conference on learning representations, 2016
64*2016
Is this “my” patient? Development and validation of a predictive model to link patients to primary care providers
SJ Atlas, Y Chang, TA Lasko, HC Chueh, RW Grant, MJ Barry
Journal of general internal medicine 21 (9), 973-978, 2006
632006
Detection of calibration drift in clinical prediction models to inform model updating
SE Davis, RA Greevy Jr, TA Lasko, CG Walsh, ME Matheny
Journal of Biomedical Informatics 112, 103611, 2020
602020
Efficient inference of Gaussian-process-modulated renewal processes with application to medical event data
TA Lasko
Uncertainty in artificial intelligence: proceedings of the... conference …, 2014
582014
Calibration Drift Among Regression and Machine Learning Models for Hospital Mortality
SE Davis, TA Lasko, G Chen, ME Matheny
AMIA Annual Symposium Proceedings 2017, 625, 2017
512017
Machine Learning for Risk Prediction of Acute Coronary Syndrome
JP VanHouten, JM Starmer, NM Lorenzi, DJ Maron, TA Lasko
AMIA Annual Symposium Proceedings 2014, 1940, 2014
492014
SynTEG: a framework for temporal structured electronic health data simulation
Z Zhang, C Yan, TA Lasko, J Sun, BA Malin
Journal of the American Medical Informatics Association 28 (3), 596-604, 2021
402021
Fully automatic liver attenuation estimation combing CNN segmentation and morphological operations
Y Huo, JG Terry, J Wang, S Nair, TA Lasko, BI Freedman, JJ Carr, ...
Medical physics 46 (8), 3508-3519, 2019
362019
Cost-aware active learning for named entity recognition in clinical text
Q Wei, Y Chen, M Salimi, JC Denny, Q Mei, TA Lasko, Q Chen, S Wu, ...
Journal of the American Medical Informatics Association 26 (11), 1314-1322, 2019
352019
Approximate string matching algorithms for limited-vocabulary OCR output correction.
TA Lasko, SE Hauser
Document Recognition and Retrieval, 232-240, 2001
342001
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