Feasibility of Frailty Assessment Integrated with Cardiac Implantable Electronic Device Clinic Follow-up: A Pilot Investigation

por Albakri, Abdel, Orkaby, Ariela, Rosenberg, Michael A.
Publicado 2021

A Discussion of the Contemporary Prediction Models for Atrial Fibrillation

por Rosenberg, Michael A., Adewumi, Joseph, Aleong, Ryan G.
Publicado 2023

Use of a Noninvasive Continuous Monitoring Device in the Management of Atrial Fibrillation: A Pilot Study

por Rosenberg, Michael A, Samuel, Michelle, Thosani, Amit, Zimetbaum, Peter J
Publicado 2013

Prediction of incident myocardial infarction using machine learning applied to harmonized electronic health record data

por Mandair, Divneet, Tiwari, Premanand, Simon, Steven, Colborn, Kathryn L., Rosenberg, Michael A.
Publicado 2020

Assessment of a Machine Learning Model Applied to Harmonized Electronic Health Record Data for the Prediction of Incident Atrial Fibrillation

por Tiwari, Premanand, Colborn, Kathryn L., Smith, Derek E., Xing, Fuyong, Ghosh, Debashis, Rosenberg, Michael A.
Publicado 2020

Assessment of a Mobile Health iPhone App for Semiautomated Self-management of Chronic Recurrent Medical Conditions Using an N-of-1 Trial Framework: Feasibility Pilot Study

por Mande, Archana, Moore, Susan L, Banaei-Kashani, Farnoush, Echalier, Benjamin, Bull, Sheana, Rosenberg, Michael A
Publicado 2022

Qualitative Evaluation of an Artificial Intelligence–Based Clinical Decision Support System to Guide Rhythm Management of Atrial Fibrillation: Survey Study

por Stacy, John, Kim, Rachel, Barrett, Christopher, Sekar, Balaviknesh, Simon, Steven, Banaei-Kashani, Farnoush, Rosenberg, Michael A
Publicado 2022

Device-measured physical activity data for classification of patients with ventricular arrhythmia events: A pilot investigation

por Marzec, Lucas, Raghavan, Sridharan, Banaei-Kashani, Farnoush, Creasy, Seth, Melanson, Edward L., Lange, Leslie, Ghosh, Debashis, Rosenberg, Michael A.
Publicado 2018

Applications of machine learning in decision analysis for dose management for dofetilide

por Levy, Andrew E., Biswas, Minakshi, Weber, Rachel, Tarakji, Khaldoun, Chung, Mina, Noseworthy, Peter A., Newton-Cheh, Christopher, Rosenberg, Michael A.
Publicado 2019

A machine learning evaluation of patient characteristics associated with prescribing of guideline-directed medical therapy for heart failure

por Kim, Rachel, Suresh, Krithika, Rosenberg, Michael A., Tan, Malinda S., Malone, Daniel C., Allen, Larry A., Kao, David P., Anderson, Heather D., Tiwari, Premanand, Trinkley, Katy E.
Publicado 2023

Machine Learning Methodologies for Prediction of Rhythm-Control Strategy in Patients Diagnosed With Atrial Fibrillation: Observational, Retrospective, Case-Control Study

por Kim, Rachel S, Simon, Steven, Powers, Brett, Sandhu, Amneet, Sanchez, Jose, Borne, Ryan T, Tumolo, Alexis, Zipse, Matthew, West, J Jason, Aleong, Ryan, Tzou, Wendy, Rosenberg, Michael A
Publicado 2021

Evaluation of Quantitative Decision‐Making for Rhythm Management of Atrial Fibrillation Using Tabular Q‐Learning

por Barrett, Christopher D., Suzuki, Yuto, Hussein, Sundos, Garg, Lohit, Tumolo, Alexis, Sandhu, Amneet, West, John J., Zipse, Matthew, Aleong, Ryan, Varosy, Paul, Tzou, Wendy S., Banaei‐Kashani, Farnoush, Rosenberg, Michael A.
Publicado 2023