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Full-Text Articles in Medicine and Health Sciences
Electrocardiogram-Based Machine Learning Emulator Model For Predicting Novel Echocardiography-Derived Phenogroups For Cardiac Risk-Stratification: A Prospective Multicenter Cohort Study, Heenaben B. Patel, Naveena Yanamala, Brijesh Patel, Sameer Raina, Peter D. Farjo, Srinidhi Sunkara, Márton Tokodi, Nobuyuki Kagiyama, Grace Casaclang-Verzosa, Partho P. Sengupta
Electrocardiogram-Based Machine Learning Emulator Model For Predicting Novel Echocardiography-Derived Phenogroups For Cardiac Risk-Stratification: A Prospective Multicenter Cohort Study, Heenaben B. Patel, Naveena Yanamala, Brijesh Patel, Sameer Raina, Peter D. Farjo, Srinidhi Sunkara, Márton Tokodi, Nobuyuki Kagiyama, Grace Casaclang-Verzosa, Partho P. Sengupta
Journal of Patient-Centered Research and Reviews
Purpose: Electrocardiography (ECG)-derived machine learning models can predict echocardiography (echo)-derived indices of systolic or diastolic function. However, systolic and diastolic dysfunction frequently coexists, which necessitates an integrated assessment for optimal risk-stratification. We explored an ECG-derived model that emulates an echo-derived model that combines multiple parameters for identifying patient phenogroups at risk for major adverse cardiac events (MACE).
Methods: In this substudy of a prospective, multicenter study, patients from 3 institutions (n = 727) formed an internal cohort, and the fourth institution was reserved as an external test set (n = 518). A previously validated patient similarity analysis model was used …
Monitoring And Evaluation Of Patient Engagement In Health Product Research And Development: Co-Creating A Framework For Community Advisory Boards, Sevgi E. Fruytier, Lidewij Eva Vat, Rob Camp, François Houÿez, Hilde De Keyser, Denise Dunne, Davide Marchi, Laura Mckeaveney, Richard H. Pitt, Carina A.C.M. Pittens, Meagan F. Vaughn, Elena Zhuravleva, Tjerk Jan Schuitmaker-Warnaar
Monitoring And Evaluation Of Patient Engagement In Health Product Research And Development: Co-Creating A Framework For Community Advisory Boards, Sevgi E. Fruytier, Lidewij Eva Vat, Rob Camp, François Houÿez, Hilde De Keyser, Denise Dunne, Davide Marchi, Laura Mckeaveney, Richard H. Pitt, Carina A.C.M. Pittens, Meagan F. Vaughn, Elena Zhuravleva, Tjerk Jan Schuitmaker-Warnaar
Journal of Patient-Centered Research and Reviews
Purpose: While patient engagement is becoming more customary in developing health products, its monitoring and evaluation to understand processes and enhance impact are challenging. This article describes a patient engagement monitoring and evaluation (PEME) framework, co-created and tailored to the context of community advisory boards (CABs) for rare diseases in Europe. It can be used to stimulate learning and evaluate impacts of engagement activities.
Methods: A participatory approach was used in which data collection and analysis were iterative. The process was based on the principles of interactive learning and action and guided by the PEME framework. Data were collected via …