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Trishan Panch

Showing results (11-20 of 23) with videos related to

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The Lancet. Digital Health|September 1, 2020
The myth of generalisability in clinical research and machine learning in health careJoseph Futoma, Morgan Simons, Trishan Panch, et al.
Journal of Computing Science and Engineering : JCSE|June 15, 2013
Collective Experience: A Database-Fuelled, Inter-Disciplinary Team-Led Learning SystemLeo A Celi, Roger G Mark, Joon Lee, et al.
Journal of Cardiopulmonary Rehabilitation and Prevention|May 29, 2014
Utility and efficacy of a smartphone application to enhance the learning and behavior goals of traditional cardiac rehabilitation: a feasibility studyDaniel E Forman, Karen LaFond, Trishan Panch, et al.
NPJ Digital Medicine|June 25, 2020
"Yes, but will it work for <i>my</i> patients?" Driving clinically relevant research with benchmark datasetsTrishan Panch, Tom J Pollard, Heather Mattie, et al.
JMIR Mental Health|August 17, 2018
Using Smartphone Apps to Promote Psychiatric Rehabilitation in a Peer-Led Community Support Program: Pilot StudyNora E Mueller, Trishan Panch, Cathaleene Macias, et al.
PLOS Digital Health|February 22, 2023
A distributed approach to the regulation of clinical AITrishan Panch, Erin Duralde, Heather Mattie, et al.
The Psychiatric Quarterly|February 1, 2015
Using Smartphone Apps to Promote Psychiatric and Physical Well-BeingCathaleene Macias, Trishan Panch, Yale M Hicks, et al.
BMJ Open|May 13, 2020
Machine learning health-related applications in low-income and middle-income countries: a scoping review protocolRodrigo M Carrillo-Larco, Lorainne Tudor Car, Jonathan Pearson-Stuttard, et al.
The Lancet. Digital Health|December 16, 2020
Turning the crank for machine learning: ease, at what expense?Tom J Pollard, Irene Chen, Jenna Wiens, et al.
Population Health Management|November 26, 2019
A Framework for Predicting Impactability of Digital Care Management Using Machine Learning MethodsHeather Mattie, Patrick Reidy, Patrik Bachtiger, et al.
Pageof 3

Showing results (11-20 of 23) with videos related to

Sort By:
Pageof 3
The Lancet. Digital Health|September 1, 2020
The myth of generalisability in clinical research and machine learning in health careJoseph Futoma, Morgan Simons, Trishan Panch, et al.
Journal of Computing Science and Engineering : JCSE|June 15, 2013
Collective Experience: A Database-Fuelled, Inter-Disciplinary Team-Led Learning SystemLeo A Celi, Roger G Mark, Joon Lee, et al.
Journal of Cardiopulmonary Rehabilitation and Prevention|May 29, 2014
Utility and efficacy of a smartphone application to enhance the learning and behavior goals of traditional cardiac rehabilitation: a feasibility studyDaniel E Forman, Karen LaFond, Trishan Panch, et al.
NPJ Digital Medicine|June 25, 2020
"Yes, but will it work for <i>my</i> patients?" Driving clinically relevant research with benchmark datasetsTrishan Panch, Tom J Pollard, Heather Mattie, et al.
JMIR Mental Health|August 17, 2018
Using Smartphone Apps to Promote Psychiatric Rehabilitation in a Peer-Led Community Support Program: Pilot StudyNora E Mueller, Trishan Panch, Cathaleene Macias, et al.
PLOS Digital Health|February 22, 2023
A distributed approach to the regulation of clinical AITrishan Panch, Erin Duralde, Heather Mattie, et al.
The Psychiatric Quarterly|February 1, 2015
Using Smartphone Apps to Promote Psychiatric and Physical Well-BeingCathaleene Macias, Trishan Panch, Yale M Hicks, et al.
BMJ Open|May 13, 2020
Machine learning health-related applications in low-income and middle-income countries: a scoping review protocolRodrigo M Carrillo-Larco, Lorainne Tudor Car, Jonathan Pearson-Stuttard, et al.
The Lancet. Digital Health|December 16, 2020
Turning the crank for machine learning: ease, at what expense?Tom J Pollard, Irene Chen, Jenna Wiens, et al.
Population Health Management|November 26, 2019
A Framework for Predicting Impactability of Digital Care Management Using Machine Learning MethodsHeather Mattie, Patrick Reidy, Patrik Bachtiger, et al.
Pageof 3