Efficient Inference of Gaussian-Process-Modulated Renewal Processes with Application to Medical Event Data

gan Lasko, Thomas A.
Cyhoeddwyd yn Uncertain Artif Intell (2014)

Nonstationary Gaussian Process Regression for Evaluating Clinical Laboratory Test Sampling Strategies

gan Lasko, Thomas A.
Cyhoeddwyd yn Proc AAAI Conf Artif Intell (2015)

2412: Predicting response to hemodynamic interventions in the ICU using recurrent neural networks

gan Genkins, Julian, Lasko, Thomas A.
Cyhoeddwyd yn J Clin Transl Sci (2018)

Spectral Anonymization of Data

gan Lasko, Thomas A., Vinterbo, Staal A.
Cyhoeddwyd 2010

DXplain Evoking Strength - Clinician Interpretation and Consistency

gan Lasko, Thomas A., Feldman, Mitchell J., Barnett, G. Octo
Cyhoeddwyd 2002

Computational Phenotype Discovery Using Unsupervised Feature Learning over Noisy, Sparse, and Irregular Clinical Data

gan Lasko, Thomas A., Denny, Joshua C., Levy, Mia A.
Cyhoeddwyd 2013

Correction: Computational Phenotype Discovery Using Unsupervised Feature Learning over Noisy, Sparse, and Irregular Clinical Data

gan Lasko, Thomas A., Denny, Joshua C., Levy, Mia A.
Cyhoeddwyd 2013

Calibration Drift Among Regression and Machine Learning Models for Hospital Mortality

gan Davis, Sharon E., Lasko, Thomas A., Chen, Guanhua, Matheny, Michael E.
Cyhoeddwyd yn AMIA Annu Symp Proc (2018)

Automated Identification of a Physician's Primary Patients

gan Lasko, Thomas A., Atlas, Steven J., Barry, Michael J., Chueh, Henry C.
Cyhoeddwyd 2006

A Study of Active Learning Methods for Named Entity Recognition in Clinical Text

gan Chen, Yukun, Lasko, Thomas A., Mei, Qiaozhu, Denny, Joshua C., Xu, Hua
Cyhoeddwyd yn J Biomed Inform (2015)

SynTEG: a framework for temporal structured electronic health data simulation

gan Zhang, Ziqi, Yan, Chao, Lasko, Thomas A, Sun, Jimeng, Malin, Bradley A
Cyhoeddwyd yn J Am Med Inform Assoc (2020)

A System for Automated Determination of Perioperative Patient Acuity

gan Zhang, Linda, Fabbri, Daniel, Lasko, Thomas A., Ehrenfeld, Jesse M., Wanderer, Jonathan P.
Cyhoeddwyd yn J Med Syst (2018)

Calibration drift in regression and machine learning models for acute kidney injury

gan Davis, Sharon E, Lasko, Thomas A, Chen, Guanhua, Siew, Edward D, Matheny, Michael E
Cyhoeddwyd yn J Am Med Inform Assoc (2017)

Automated mapping of laboratory tests to LOINC codes using noisy labels in a national electronic health record system database

gan Parr, Sharidan K, Shotwell, Matthew S, Jeffery, Alvin D, Lasko, Thomas A, Matheny, Michael E
Cyhoeddwyd yn J Am Med Inform Assoc (2018)

Comparison of Prediction Model Performance Updating Protocols: Using a Data-Driven Testing Procedure to Guide Updating

gan Davis, Sharon E., Greevy, Robert A., Lasko, Thomas A., Walsh, Colin G., Matheny, Michael E.
Cyhoeddwyd yn AMIA Annu Symp Proc (2020)

Development and evaluation of an ensemble resource linking medications to their indications

gan Wei, Wei-Qi, Cronin, Robert M, Xu, Hua, Lasko, Thomas A, Bastarache, Lisa, Denny, Joshua C
Cyhoeddwyd 2013

Machine Learning for Risk Prediction of Acute Coronary Syndrome

gan VanHouten, Jacob P., Starmer, John M., Lorenzi, Nancy M., Maron, David J., Lasko, Thomas A.
Cyhoeddwyd yn AMIA Annu Symp Proc (2014)

A Perioperative Care Display for Understanding High Acuity Patients

gan Novak, Laurie Lovett, Wanderer, Jonathan, Owens, David A., Fabbri, Daniel, Genkins, Julian Z., Lasko, Thomas A.
Cyhoeddwyd yn Appl Clin Inform (2021)

Is This “My” Patient? Development and Validation of a Predictive Model to Link Patients to Primary Care Providers

gan Atlas, Steven J, Chang, Yuchiao, Lasko, Thomas A, Chueh, Henry C, Grant, Richard W, Barry, Michael J
Cyhoeddwyd 2006

A nonparametric updating method to correct clinical prediction model drift

gan Davis, Sharon E, Greevy, Robert A, Fonnesbeck, Christopher, Lasko, Thomas A, Walsh, Colin G, Matheny, Michael E
Cyhoeddwyd yn J Am Med Inform Assoc (2019)