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AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
May 9, 2015
Learning to identify treatment relations in clinical text
Cosmin A Bejan, Joshua C Denny
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
May 26, 2025
Large-scale Text Mining of Suicide Attempt improves Identification of Distinct Suicidal Events in Electronic Health Records
Hyunjoon Lee, Cosmin A Bejan, Colin G Walsh
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
January 11, 2013
Assessing pneumonia identification from time-ordered narrative reports
Cosmin A Bejan, Lucy Vanderwende, Mark M Wurfel, et al.
Urology
|
July 17, 2019
Performance of a Natural Language Processing Method to Extract Stone Composition From the Electronic Health Record
Cosmin A Bejan, Daniel J Lee, Yaomin Xu, et al.
Computers in Biology and Medicine
|
April 12, 2021
Leveraging machine learning to characterize the role of socio-economic determinants on physical health and well-being among veterans
Christos A Makridis, David Y Zhao, Cosmin A Bejan, et al.
Studies in Health Technology and Informatics
|
August 24, 2019
Identifying Patients with Significant Problems Related to Social Determinants of Health with Natural Language Processing
David Dorr, Cosmin A Bejan, Christie Pizzimenti, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
February 20, 2014
On-time clinical phenotype prediction based on narrative reports
Cosmin A Bejan, Lucy Vanderwende, Heather L Evans, et al.
New Microbes and New Infections
|
November 28, 2022
Public perspectives of monkeypox in Twitter: A social media analysis using machine learning
Ramadan Abdelmoez Farahat, Mohammed Abdelwahab Yassin, Jaffar A Al-Tawfiq, et al.
Medrxiv : the Preprint Server for Health Sciences
|
February 12, 2024
Evaluation of genetic associations with clinical phenotypes of kidney stone disease
Ryan S Hsi, Siwei Zhang, Jefferson L Triozzi, et al.
Medical Care
|
June 3, 2022
Prediction of Future Health Care Utilization Through Note-extracted Psychosocial Factors
David A Dorr, Ana R Quiñones, Taylor King, et al.
Page
of 6
Search research articles
Search
Showing results (1-10 of 54) with videos related to
Sort By:
Page
of 6
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
May 9, 2015
Learning to identify treatment relations in clinical text
Cosmin A Bejan, Joshua C Denny
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
May 26, 2025
Large-scale Text Mining of Suicide Attempt improves Identification of Distinct Suicidal Events in Electronic Health Records
Hyunjoon Lee, Cosmin A Bejan, Colin G Walsh
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
January 11, 2013
Assessing pneumonia identification from time-ordered narrative reports
Cosmin A Bejan, Lucy Vanderwende, Mark M Wurfel, et al.
Urology
|
July 17, 2019
Performance of a Natural Language Processing Method to Extract Stone Composition From the Electronic Health Record
Cosmin A Bejan, Daniel J Lee, Yaomin Xu, et al.
Computers in Biology and Medicine
|
April 12, 2021
Leveraging machine learning to characterize the role of socio-economic determinants on physical health and well-being among veterans
Christos A Makridis, David Y Zhao, Cosmin A Bejan, et al.
Studies in Health Technology and Informatics
|
August 24, 2019
Identifying Patients with Significant Problems Related to Social Determinants of Health with Natural Language Processing
David Dorr, Cosmin A Bejan, Christie Pizzimenti, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
February 20, 2014
On-time clinical phenotype prediction based on narrative reports
Cosmin A Bejan, Lucy Vanderwende, Heather L Evans, et al.
New Microbes and New Infections
|
November 28, 2022
Public perspectives of monkeypox in Twitter: A social media analysis using machine learning
Ramadan Abdelmoez Farahat, Mohammed Abdelwahab Yassin, Jaffar A Al-Tawfiq, et al.
Medrxiv : the Preprint Server for Health Sciences
|
February 12, 2024
Evaluation of genetic associations with clinical phenotypes of kidney stone disease
Ryan S Hsi, Siwei Zhang, Jefferson L Triozzi, et al.
Medical Care
|
June 3, 2022
Prediction of Future Health Care Utilization Through Note-extracted Psychosocial Factors
David A Dorr, Ana R Quiñones, Taylor King, et al.
Page
of 6