Thomas A. Lasko

According to our database1, Thomas A. Lasko authored at least 32 papers between 2001 and 2019.

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



In proceedings 
PhD thesis 




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

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

Automated mapping of laboratory tests to LOINC codes using noisy labels in a national electronic health record system database.
JAMIA, 2018

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

An active learning-enabled annotation system for clinical named entity recognition.
BMC Med. Inf. & Decision Making, 2017

Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals.
JAMIA, 2017

Calibration drift in regression and machine learning models for acute kidney injury.
JAMIA, 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.
Journal of Biomedical 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.
JAMIA, 2014

Efficient Inference of Gaussian Process Modulated Renewal Processes with Application to Medical Event Data.
CoRR, 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.
JAMIA, 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.
JAMIA, 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.
JAMIA, 2006

The use of receiver operating characteristic curves in biomedical informatics.
Journal of Biomedical 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