Jenna Marie Reps (Jenna Reps, Jenna M Reps)

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 16

Top Topics

Atrial Fibrillation

Machine Learning

Patient Reported

Top Venues

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology

JMIR public health and surveillance

Journal of medical Internet research

Journal of the American Medical Informatics Association : JAMIA

This page only lists publications with an associated author ORCID identifier.

Publications

Urmila Chandran, Jenna Marie Reps, Robert Yang, Anil Vachani, Fabien Maldonado, Iftekhar Kalsekar
Machine Learning and Real-World Data to Predict Lung Cancer Risk in Routine Care. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 32 (3) (2023)
Dong Yun Lee, Byung Jin Choi, Chungsoo Kim, Egill Axfjord Fridgeirsson, Jenna Marie Reps, Myoungsuk Kim, Jihyeong Kim, Jae Won Jang, Sang Youl Rhee, Won-Woo Seo, Seunghoon Lee, Sang Joon Son, Rae Woong Park
Privacy-Preserving Federated Model Predicting Bipolar Transition in Patients With Depression: Prediction Model Development Study. Journal of medical Internet research 25 (2023)
Urmila Chandran, Jenna Marie Reps, Robert Yang, Anil Vachani, Fabien Maldonado, Iftekhar Kalsekar
Machine Learning and Real-World Data to Predict Lung Cancer Risk in Routine Care. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 32 (3) (2023)
Urmila Chandran, Jenna Marie Reps, Robert Yang, Anil Vachani, Fabien Maldonado, Iftekhar Kalsekar
Machine Learning and Real-World Data to Predict Lung Cancer Risk in Routine Care. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 32 (3) (2023)
Jenna Marie Reps, Marsha Wilcox, Beth Ann McGee, Marie Leonte, Lauren LaCross, Kevin Wildenhaus
Development of multivariable models to predict perinatal depression before and after delivery using patient reported survey responses at weeks 4-10 of pregnancy. BMC pregnancy and childbirth 22 (1) (2022)
Urmila Chandran, Jenna Marie Reps, Robert Yang, Anil Vachani, Fabien Maldonado, Iftekhar Kalsekar
Machine Learning and Real-World Data to Predict Lung Cancer Risk in Routine Care. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology (2022)
Chongliang Luo, Md Nazmul Islam, Natalie E Sheils, John Buresh, Jenna Marie Reps, Martijn J Schuemie, Patrick B Ryan, Mackenzie Edmondson, Rui Duan, Jiayi Tong, Arielle Marks-Anglin, Jiang Bian, Zhaoyi Chen, Talita Duarte-Salles, Sergio Fernández-Bertolín, Thomas Falconer, Chungsoo Kim, Rae Woong Park, Stephen R Pfohl, Nigam Haresh Shah, Andrew E Williams, Hua Xu, Yujia Zhou, Ebbing Lautenbach, Jalpa A Doshi, Rachel M Werner, David A Asch, Yong Chen
DLMM as a lossless one-shot algorithm for collaborative multi-site distributed linear mixed models. Nature communications 13 (1) (2022)
Beth McGee, Marie Leonte, Kevin Wildenhaus, Marsha A Wilcox, Jenna Marie Reps, Lauren LaCross
Leveraging Digital Technology in Conducting Longitudinal Research on Mental Health in Pregnancy: Longitudinal Panel Survey Study. JMIR pediatrics and parenting 4 (2) (2021)
Jenna Marie Reps, Chungsoo Kim, Ross D Williams, Aniek F Markus, Cynthia Yang, Talita Duarte Salles, Thomas Falconer, Jitendra Jonnagaddala, Andrew E Williams, Sergio Fernandez-Bertolin, Scott L Duvall, Kristin Kostka, Gowtham Rao, Azza Shoaib, Anna Ostropolets, Matthew E Spotnitz, Lin Zhang, Paula Casajust, Ewout Willem Steyerberg, Fredrik Nyberg, Benjamin Skov Kaas-Hansen, Young Hwa Choi, Daniel R Morales, Siaw-Teng Liaw, Maria Tereza Fernandes Abrahão, Carlos Morgado Areia, Michael E Matheny, Kristine E Lynch, Maria Aragón, Rae Woong Park, George Hripcsak, Christian G Reich, Marc A Suchard, Seng Chan You, Patrick B Ryan, Daniel Prieto Alhambra, Peter R Rijnbeek
Implementation of the COVID-19 Vulnerability Index Across an International Network of Health Care Data Sets: Collaborative External Validation Study. JMIR medical informatics 9 (4) (2021)
Jenna Marie Reps, Patrick Ryan, Peter R Rijnbeek
Investigating the impact of development and internal validation design when training prognostic models using a retrospective cohort in big US observational healthcare data. BMJ open 11 (12) (2021)
Jenna Marie Reps, Peter Rijnbeek, Alana Cuthbert, Patrick B Ryan, Nicole Pratt, Martijn Schuemie
An empirical analysis of dealing with patients who are lost to follow-up when developing prognostic models using a cohort design. BMC medical informatics and decision making 21 (1) (2021)
Chungsoo Kim, Seng Chan You, Jenna Marie Reps, Jae Youn Cheong, Rae Woong Park
Machine-learning model to predict the cause of death using a stacking ensemble method for observational data. Journal of the American Medical Informatics Association : JAMIA 28 (6) (2021)
M Soledad Cepeda, Jenna Marie Reps, David M Kern, Paul E Stang
Medical Conditions Predictive of Self-Reported Poor Health: Retrospective Cohort Study. JMIR public health and surveillance 6 (1) (2020)
Jenna Marie Reps, M Soledad Cepeda, Patrick B Ryan
Wisdom of the CROUD: Development and validation of a patient-level prediction model for opioid use disorder using population-level claims data. PloS one 15 (2) (2020)
Jenna Marie Reps, Ross D Williams, Seng Chan You, Thomas Falconer, Evan Minty, Alison Callahan, Patrick B Ryan, Rae Woong Park, Hong-Seok Lim, Peter Rijnbeek
Feasibility and evaluation of a large-scale external validation approach for patient-level prediction in an international data network: validation of models predicting stroke in female patients newly diagnosed with atrial fibrillation. BMC medical research methodology 20 (1) (2020)
Jenna Marie Reps, Peter R Rijnbeek, Patrick B Ryan
Identifying the DEAD: Development and Validation of a Patient-Level Model to Predict Death Status in Population-Level Claims Data. Drug safety 42 (11) (2020)