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Dmitriy Dligach

Showing results (41-50 of 87) with videos related to

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Journal of the American Medical Informatics Association : JAMIA|August 12, 2021
Bias and fairness assessment of a natural language processing opioid misuse classifier: detection and mitigation of electronic health record data disadvantages across racial subgroupsHale M Thompson, Brihat Sharma, Sameer Bhalla, et al.
Journal of the American Medical Informatics Association : JAMIA|May 31, 2019
Development and application of a high throughput natural language processing architecture to convert all clinical documents in a clinical data warehouse into standardized medical vocabulariesMajid Afshar, Dmitriy Dligach, Brihat Sharma, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 1, 2019
A Computable Phenotype for Acute Respiratory Distress Syndrome Using Natural Language Processing and Machine LearningMajid Afshar, Cara Joyce, Anthony Oakey, et al.
Clinical Journal of the American Society of Nephrology : CJASN|April 15, 2025
Multicenter Development and Validation of a Multimodal Deep Learning Model to Predict Moderate to Severe AKIJay L Koyner, Jennie Martin, Kyle A Carey, et al.
Addiction Science & Clinical Practice|March 18, 2021
External validation of an opioid misuse machine learning classifier in hospitalized adult patientsMajid Afshar, Brihat Sharma, Sameer Bhalla, et al.
The Lancet. Digital Health|May 27, 2022
Development and multimodal validation of a substance misuse algorithm for referral to treatment using artificial intelligence (SMART-AI): a retrospective deep learning studyMajid Afshar, Brihat Sharma, Dmitriy Dligach, et al.
JAMIA Open|March 12, 2021
Comparison and interpretability of machine learning models to predict severity of chest injurySujay Kulshrestha, Dmitriy Dligach, Cara Joyce, et al.
Journal of Biomedical Semantics|January 5, 2013
A common type system for clinical natural language processingStephen T Wu, Vinod C Kaggal, Dmitriy Dligach, et al.
JAMIA Open|December 25, 2023
Development and external validation of multimodal postoperative acute kidney injury risk machine learning modelsGeorge K Karway, Jay L Koyner, John Caskey, et al.
Stroke|October 26, 2018
Elevated International Normalized Ratio Is Associated With Ruptured AneurysmsAnil Can, Victor M Castro, Dmitriy Dligach, et al.
Pageof 9

Showing results (41-50 of 87) with videos related to

Sort By:
Pageof 9
Journal of the American Medical Informatics Association : JAMIA|August 12, 2021
Bias and fairness assessment of a natural language processing opioid misuse classifier: detection and mitigation of electronic health record data disadvantages across racial subgroupsHale M Thompson, Brihat Sharma, Sameer Bhalla, et al.
Journal of the American Medical Informatics Association : JAMIA|May 31, 2019
Development and application of a high throughput natural language processing architecture to convert all clinical documents in a clinical data warehouse into standardized medical vocabulariesMajid Afshar, Dmitriy Dligach, Brihat Sharma, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 1, 2019
A Computable Phenotype for Acute Respiratory Distress Syndrome Using Natural Language Processing and Machine LearningMajid Afshar, Cara Joyce, Anthony Oakey, et al.
Clinical Journal of the American Society of Nephrology : CJASN|April 15, 2025
Multicenter Development and Validation of a Multimodal Deep Learning Model to Predict Moderate to Severe AKIJay L Koyner, Jennie Martin, Kyle A Carey, et al.
Addiction Science & Clinical Practice|March 18, 2021
External validation of an opioid misuse machine learning classifier in hospitalized adult patientsMajid Afshar, Brihat Sharma, Sameer Bhalla, et al.
The Lancet. Digital Health|May 27, 2022
Development and multimodal validation of a substance misuse algorithm for referral to treatment using artificial intelligence (SMART-AI): a retrospective deep learning studyMajid Afshar, Brihat Sharma, Dmitriy Dligach, et al.
JAMIA Open|March 12, 2021
Comparison and interpretability of machine learning models to predict severity of chest injurySujay Kulshrestha, Dmitriy Dligach, Cara Joyce, et al.
Journal of Biomedical Semantics|January 5, 2013
A common type system for clinical natural language processingStephen T Wu, Vinod C Kaggal, Dmitriy Dligach, et al.
JAMIA Open|December 25, 2023
Development and external validation of multimodal postoperative acute kidney injury risk machine learning modelsGeorge K Karway, Jay L Koyner, John Caskey, et al.
Stroke|October 26, 2018
Elevated International Normalized Ratio Is Associated With Ruptured AneurysmsAnil Can, Victor M Castro, Dmitriy Dligach, et al.
Pageof 9