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Jenna Reps

Showing results (11-20 of 27) with videos related to

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Plos One|April 5, 2017
Can machine-learning improve cardiovascular risk prediction using routine clinical data?Stephen F Weng, Jenna Reps, Joe Kai, et al.
Plos One|April 23, 2014
Comparing stochastic differential equations and agent-based modelling and simulation for early-stage cancerGrazziela P Figueredo, Peer-Olaf Siebers, Markus R Owen, et al.
Depression and Anxiety|December 16, 2017
Finding treatment-resistant depression in real-world data: How a data-driven approach compares with expert-based heuristicsM Soledad Cepeda, Jenna Reps, Daniel Fife, et al.
Heliyon|August 11, 2018
Treatment resistant depression incidence estimates from studies of health insurance databases depend strongly on the details of the operating definitionDaniel Fife, Jenna Reps, M Soledad Cepeda, et al.
Value in Health : the Journal of the International Society for Pharmacoeconomics and Outcomes Research|May 21, 2019
Using Machine Learning Applied to Real-World Healthcare Data for Predictive Analytics: An Applied Example in Bariatric SurgeryStephen S Johnston, John M Morton, Iftekhar Kalsekar, et al.
Archives of Women'S Mental Health|February 5, 2020
Perinatal depressive symptoms often start in the prenatal rather than postpartum period: results from a longitudinal studyMarsha Wilcox, Beth Ann McGee, Dawn F Ionescu, et al.
Mayo Clinic Proceedings. Digital Health|July 2, 2025
Implementation and Updating of Clinical Prediction Models: A Systematic ReviewAlexander Saelmans, Tom Seinen, Victor Pera, et al.
Plos One|April 21, 2016
Illness Beliefs Predict Mortality in Patients with Diabetic Foot UlcersKavita Vedhara, Karen Dawe, Jeremy N V Miles, et al.
Journal of Medical Internet Research|July 20, 2023
Privacy-Preserving Federated Model Predicting Bipolar Transition in Patients With Depression: Prediction Model Development StudyDong Yun Lee, Byungjin Choi, Chungsoo Kim, et al.
Studies in Health Technology and Informatics|January 25, 2024
Health-Analytics Data to Evidence Suite (HADES): Open-Source Software for Observational ResearchMartijn Schuemie, Jenna Reps, Adam Black, et al.
Pageof 3

Showing results (11-20 of 27) with videos related to

Sort By:
Pageof 3
Plos One|April 5, 2017
Can machine-learning improve cardiovascular risk prediction using routine clinical data?Stephen F Weng, Jenna Reps, Joe Kai, et al.
Plos One|April 23, 2014
Comparing stochastic differential equations and agent-based modelling and simulation for early-stage cancerGrazziela P Figueredo, Peer-Olaf Siebers, Markus R Owen, et al.
Depression and Anxiety|December 16, 2017
Finding treatment-resistant depression in real-world data: How a data-driven approach compares with expert-based heuristicsM Soledad Cepeda, Jenna Reps, Daniel Fife, et al.
Heliyon|August 11, 2018
Treatment resistant depression incidence estimates from studies of health insurance databases depend strongly on the details of the operating definitionDaniel Fife, Jenna Reps, M Soledad Cepeda, et al.
Value in Health : the Journal of the International Society for Pharmacoeconomics and Outcomes Research|May 21, 2019
Using Machine Learning Applied to Real-World Healthcare Data for Predictive Analytics: An Applied Example in Bariatric SurgeryStephen S Johnston, John M Morton, Iftekhar Kalsekar, et al.
Archives of Women'S Mental Health|February 5, 2020
Perinatal depressive symptoms often start in the prenatal rather than postpartum period: results from a longitudinal studyMarsha Wilcox, Beth Ann McGee, Dawn F Ionescu, et al.
Mayo Clinic Proceedings. Digital Health|July 2, 2025
Implementation and Updating of Clinical Prediction Models: A Systematic ReviewAlexander Saelmans, Tom Seinen, Victor Pera, et al.
Plos One|April 21, 2016
Illness Beliefs Predict Mortality in Patients with Diabetic Foot UlcersKavita Vedhara, Karen Dawe, Jeremy N V Miles, et al.
Journal of Medical Internet Research|July 20, 2023
Privacy-Preserving Federated Model Predicting Bipolar Transition in Patients With Depression: Prediction Model Development StudyDong Yun Lee, Byungjin Choi, Chungsoo Kim, et al.
Studies in Health Technology and Informatics|January 25, 2024
Health-Analytics Data to Evidence Suite (HADES): Open-Source Software for Observational ResearchMartijn Schuemie, Jenna Reps, Adam Black, et al.
Pageof 3