Thomas A. Lasko

According to our database1, Thomas A. Lasko authored at least 46 papers between 2001 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




SynTEG: a framework for temporal structured electronic health data simulation.
J. Am. Medical Informatics Assoc., 2021

Generalizing Clinical Trials with Convex Hulls.
CoRR, 2021

A Perioperative Care Display for Understanding High Acuity Patients.
Appl. Clin. Inform., 2021

Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Synthesized difference in differences.
Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

Detection of calibration drift in clinical prediction models to inform model updating.
J. Biomed. Informatics, 2020

The Value of Nullspace Tuning Using Partial Label Information.
CoRR, 2020

User-Centered Clinical Display Design Issues for Inpatient Providers.
Appl. Clin. Inform., 2020

Semi-supervised Machine Learning with MixMatch and Equivalence Classes.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

A Surveillance Framework for Monitoring and Updating Clinical Prediction Models.
Proceedings of the AMIA 2020, 2020

Electronic Medical Record Context Signatures Improve Diagnostic Classification Using Medical Image Computing.
IEEE J. Biomed. Health Informatics, 2019

Cost-aware active learning for named entity recognition in clinical text.
J. Am. Medical Informatics Assoc., 2019

A nonparametric updating method to correct clinical prediction model drift.
J. Am. Medical Informatics Assoc., 2019

Fully Automatic Liver Attenuation Estimation Combing CNN Segmentation and Morphological Operations.
CoRR, 2019

Contextual Deep Regression Network for Volume Estimation in Orbital CT.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Longitudinal modeling of prescription refill records to predict medication use.
Proceedings of the AMIA 2019, 2019

Comparison of Prediction Model Performance Updating Protocols: Using a Data-Driven Testing Procedure to Guide Updating.
Proceedings of the AMIA 2019, 2019

A System for Automated Determination of Perioperative Patient Acuity.
J. Medical Syst., 2018

Automated mapping of laboratory tests to LOINC codes using noisy labels in a national electronic health record system database.
J. Am. Medical Informatics Assoc., 2018

Crowdsourcing Clinical Chart Reviews.
Proceedings of the AMIA 2018, 2018

An active learning-enabled annotation system for clinical named entity recognition.
BMC Medical Informatics Decis. Mak., 2017

Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals.
J. Am. Medical Informatics Assoc., 2017

Calibration drift in regression and machine learning models for acute kidney injury.
J. Am. Medical Informatics Assoc., 2017

EMR-Radiological Phenotypes in Diseases of the Optic Nerve and Their Association with Visual Function.
Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017

Predicting Medications from Diagnostic Codes with Recurrent Neural Networks.
Proceedings of the 5th International Conference on Learning Representations, 2017

Calibration Drift Among Regression and Machine Learning Models for Hospital Mortality.
Proceedings of the AMIA 2017, 2017

Calibration Drift of Clinical Prediction Models Across Modeling Methods.
Proceedings of the Summit on Clinical Research Informatics, 2016

The Discriminative Power of Non-Specific Laboratory Results.
Proceedings of the AMIA 2016, 2016

A study of active learning methods for named entity recognition in clinical text.
J. Biomed. Informatics, 2015

Real Time Active Learning Study for Clinical Named Entity Recognition.
Proceedings of the AMIA 2015, 2015

Assessing Variability in Breast Cancer Treatment Paths Using Frequent Sequence Mining.
Proceedings of the AMIA 2015, 2015

Nonstationary Gaussian Process Regression for Evaluating Repeated Clinical Laboratory Tests.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Predicting changes in hypertension control using electronic health records from a chronic disease management program.
J. Am. Medical Informatics Assoc., 2014

Efficient Inference of Gaussian-Process-Modulated Renewal Processes with Application to Medical Event Data.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Machine Learning for Risk Prediction of Acute Coronary Syndrome.
Proceedings of the AMIA 2014, 2014

Development and evaluation of an ensemble resource linking medications to their indications.
J. Am. Medical Informatics Assoc., 2013

Random Forest Classification of Acute Coronary Syndromes.
Proceedings of the AMIA 2013, 2013

A Study of Active Learning Methods for Clinical Entities Recognition.
Proceedings of the AMIA 2013, 2013

Role of ICD Granularity in Phenotyping Hematologic Malignancies for Tumor Registries.
Proceedings of the AMIA 2013, 2013

Portability of an algorithm to identify rheumatoid arthritis in electronic health records.
J. Am. Medical Informatics Assoc., 2012

Spectral Anonymization of Data.
IEEE Trans. Knowl. Data Eng., 2010

Spectral anonymization of data.
PhD thesis, 2007

Research Paper: Automated Identification of a Physician's Primary Patients.
J. Am. Medical Informatics Assoc., 2006

The use of receiver operating characteristic curves in biomedical informatics.
J. Biomed. Informatics, 2005

DXplain Evoking Strength - Clinician Interpretation and Consistency.
Proceedings of the AMIA 2002, 2002

Approximate string matching algorithms for limited-vocabulary OCR output correction.
Proceedings of the Document Recognition and Retrieval VIII, 2001