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Studies in Health Technology and Informatics
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April 22, 2018
Engaging Stakeholders in the Design and Usability Evaluation of a Decision Aid to Improve Secondary Stroke Prevention
Talya Porat, Zhining Liao, Vasa Curcin
Journal of Medical Internet Research
|
July 1, 2017
Researching Mental Health Disorders in the Era of Social Media: Systematic Review
Akkapon Wongkoblap, Miguel A Vadillo, Vasa Curcin
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science
|
July 2, 2019
Modeling Depression Symptoms from Social Network Data through Multiple Instance Learning
Akkapon Wongkoblap, Miguel A Vadillo, Vasa Curcin
JMIR Mental Health
|
August 12, 2021
Deep Learning With Anaphora Resolution for the Detection of Tweeters With Depression: Algorithm Development and Validation Study
Akkapon Wongkoblap, Miguel A Vadillo, Vasa Curcin
JMIR Mental Health
|
November 14, 2019
Public Opinions on Using Social Media Content to Identify Users With Depression and Target Mental Health Care Advertising: Mixed Methods Survey
Elizabeth Ford, Keegan Curlewis, Akkapon Wongkoblap, et al.
Journal of Biomedical Informatics
|
November 19, 2016
Templates as a method for implementing data provenance in decision support systems
Vasa Curcin, Elliot Fairweather, Roxana Danger, et al.
Plos One
|
June 26, 2008
Statin induced myopathy and myalgia: time trend analysis and comparison of risk associated with statin class from 1991-2006
Mariam Molokhia, Paul McKeigue, Vasa Curcin, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
May 2, 2023
Multi-objective Symbolic Regression to Generate Data-driven, Non-fixed Structure and Intelligible Mortality Predictors using EHR: Binary Classification Methodology and Comparison with State-of-the-art
Davide Ferrari, Veronica Guidetti, Yanzhong Wang, et al.
European Heart Journal. Digital Health
|
January 23, 2025
Machine learning based prediction models for cardiovascular disease risk using electronic health records data: systematic review and meta-analysis
Tianyi Liu, Andrew Krentz, Lei Lu, et al.
JMIR Formative Research
|
June 27, 2023
Public Opinions About Palliative and End-of-Life Care During the COVID-19 Pandemic: Twitter-Based Content Analysis
Yijun Wang, Emeka Chukwusa, Jonathan Koffman, et al.
Page
of 10
Search research articles
Search
Showing results (11-20 of 100) with videos related to
Sort By:
Page
of 10
Studies in Health Technology and Informatics
|
April 22, 2018
Engaging Stakeholders in the Design and Usability Evaluation of a Decision Aid to Improve Secondary Stroke Prevention
Talya Porat, Zhining Liao, Vasa Curcin
Journal of Medical Internet Research
|
July 1, 2017
Researching Mental Health Disorders in the Era of Social Media: Systematic Review
Akkapon Wongkoblap, Miguel A Vadillo, Vasa Curcin
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science
|
July 2, 2019
Modeling Depression Symptoms from Social Network Data through Multiple Instance Learning
Akkapon Wongkoblap, Miguel A Vadillo, Vasa Curcin
JMIR Mental Health
|
August 12, 2021
Deep Learning With Anaphora Resolution for the Detection of Tweeters With Depression: Algorithm Development and Validation Study
Akkapon Wongkoblap, Miguel A Vadillo, Vasa Curcin
JMIR Mental Health
|
November 14, 2019
Public Opinions on Using Social Media Content to Identify Users With Depression and Target Mental Health Care Advertising: Mixed Methods Survey
Elizabeth Ford, Keegan Curlewis, Akkapon Wongkoblap, et al.
Journal of Biomedical Informatics
|
November 19, 2016
Templates as a method for implementing data provenance in decision support systems
Vasa Curcin, Elliot Fairweather, Roxana Danger, et al.
Plos One
|
June 26, 2008
Statin induced myopathy and myalgia: time trend analysis and comparison of risk associated with statin class from 1991-2006
Mariam Molokhia, Paul McKeigue, Vasa Curcin, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
May 2, 2023
Multi-objective Symbolic Regression to Generate Data-driven, Non-fixed Structure and Intelligible Mortality Predictors using EHR: Binary Classification Methodology and Comparison with State-of-the-art
Davide Ferrari, Veronica Guidetti, Yanzhong Wang, et al.
European Heart Journal. Digital Health
|
January 23, 2025
Machine learning based prediction models for cardiovascular disease risk using electronic health records data: systematic review and meta-analysis
Tianyi Liu, Andrew Krentz, Lei Lu, et al.
JMIR Formative Research
|
June 27, 2023
Public Opinions About Palliative and End-of-Life Care During the COVID-19 Pandemic: Twitter-Based Content Analysis
Yijun Wang, Emeka Chukwusa, Jonathan Koffman, et al.
Page
of 10