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Yin Aphinyanaphongs

Showing results (1-10 of 12) with videos related to

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Studies in Health Technology and Informatics|October 4, 2007
Text categorization models for identifying unproven cancer treatments on the webYin Aphinyanaphongs, Constantin Aliferis
Studies in Health Technology and Informatics|September 14, 2004
Learning Boolean queries for article quality filteringYin Aphinyanaphongs, Constantin F Aliferis
Studies in Health Technology and Informatics|August 8, 2013
Identifying unproven cancer treatments on the health web: addressing accuracy, generalizability and scalabilityYin Aphinyanaphongs, Lawrence D Fu, Constantin F Aliferis
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 9, 2017
Reusable Filtering Functions for Application in ICU data: a case studyVincent Major, Monique S Tanna, Simon Jones, et al.
Medrxiv : the Preprint Server for Health Sciences|December 21, 2021
Time-Varying Mortality Risk Suggests Increased Impact of Thrombosis in Hospitalized Covid-19 PatientsBenjamin J Lengerich, Mark E Nunnally, Yin Aphinyanaphongs, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|January 19, 2016
TEXT CLASSIFICATION FOR AUTOMATIC DETECTION OF E-CIGARETTE USE AND USE FOR SMOKING CESSATION FROM TWITTER: A FEASIBILITY PILOTYin Aphinyanaphongs, Armine Lulejian, Duncan Penfold Brown, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 2, 2023
Quantitative and Qualitative Evaluation of Provider Use of a Novel Machine Learning Model for Favorable Outcome PredictionElisabeth Yang, Yin Aphinyanaphongs, Paawan V Punjabi, et al.
Journal of Biomedical Informatics|May 3, 2022
Automated interpretable discovery of heterogeneous treatment effectiveness: A COVID-19 case studyBenjamin J Lengerich, Mark E Nunnally, Yin Aphinyanaphongs, et al.
JAMA|July 24, 2020
Thrombosis in Hospitalized Patients With COVID-19 in a New York City Health SystemSeda Bilaloglu, Yin Aphinyanaphongs, Simon Jones, et al.
Journal of Medical Internet Research|April 30, 2020
Development, Implementation, and Evaluation of a Personalized Machine Learning Algorithm for Clinical Decision Support: Case Study With Shingles VaccinationJi Chen, Sara Chokshi, Roshini Hegde, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Studies in Health Technology and Informatics|October 4, 2007
Text categorization models for identifying unproven cancer treatments on the webYin Aphinyanaphongs, Constantin Aliferis
Studies in Health Technology and Informatics|September 14, 2004
Learning Boolean queries for article quality filteringYin Aphinyanaphongs, Constantin F Aliferis
Studies in Health Technology and Informatics|August 8, 2013
Identifying unproven cancer treatments on the health web: addressing accuracy, generalizability and scalabilityYin Aphinyanaphongs, Lawrence D Fu, Constantin F Aliferis
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 9, 2017
Reusable Filtering Functions for Application in ICU data: a case studyVincent Major, Monique S Tanna, Simon Jones, et al.
Medrxiv : the Preprint Server for Health Sciences|December 21, 2021
Time-Varying Mortality Risk Suggests Increased Impact of Thrombosis in Hospitalized Covid-19 PatientsBenjamin J Lengerich, Mark E Nunnally, Yin Aphinyanaphongs, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|January 19, 2016
TEXT CLASSIFICATION FOR AUTOMATIC DETECTION OF E-CIGARETTE USE AND USE FOR SMOKING CESSATION FROM TWITTER: A FEASIBILITY PILOTYin Aphinyanaphongs, Armine Lulejian, Duncan Penfold Brown, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 2, 2023
Quantitative and Qualitative Evaluation of Provider Use of a Novel Machine Learning Model for Favorable Outcome PredictionElisabeth Yang, Yin Aphinyanaphongs, Paawan V Punjabi, et al.
Journal of Biomedical Informatics|May 3, 2022
Automated interpretable discovery of heterogeneous treatment effectiveness: A COVID-19 case studyBenjamin J Lengerich, Mark E Nunnally, Yin Aphinyanaphongs, et al.
JAMA|July 24, 2020
Thrombosis in Hospitalized Patients With COVID-19 in a New York City Health SystemSeda Bilaloglu, Yin Aphinyanaphongs, Simon Jones, et al.
Journal of Medical Internet Research|April 30, 2020
Development, Implementation, and Evaluation of a Personalized Machine Learning Algorithm for Clinical Decision Support: Case Study With Shingles VaccinationJi Chen, Sara Chokshi, Roshini Hegde, et al.
Pageof 2