Zobrazeno 1 - 7 of 7 pro vyhledávání: '"Kim Nolen"'
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Akademický článek
Implementing a Machine-Learning-Adapted Algorithm to Identify Possible Transthyretin Amyloid Cardiomyopathy at an Academic Medical Center
Autor: Joshua D Mitchell, Daniel J Lenihan, Casey Reed, Ahsan Huda, Kim Nolen, Marianna Bruno, Thomas Kannampallil
Publikováno v: Clinical Medicine Insights: Cardiology, Vol 16 (2022)
Background: Wild-type transthyretin amyloid cardiomyopathy (ATTR-CM) is a frequently under-recognized cause of heart failure (HF) in older patients. To improve identification of patients at risk for the disease, we initiated a pilot program in which
Externí odkaz: https://doaj.org/article/fd0c68aa6c42427f83924fa560348e3c
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2
Implementing a Machine-Learning-Adapted Algorithm to Identify Possible Transthyretin Amyloid Cardiomyopathy at an Academic Medical Center
Autor: Joshua D Mitchell, Daniel J Lenihan, Casey Reed, Ahsan Huda, Kim Nolen, Marianna Bruno, Thomas Kannampallil
Publikováno v: Clinical Medicine Insights. Cardiology. 16
Background: Wild-type transthyretin amyloid cardiomyopathy (ATTR-CM) is a frequently under-recognized cause of heart failure (HF) in older patients. To improve identification of patients at risk for the disease, we initiated a pilot program in which
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b380a29f78ac92c25fbd421c309f9dd
https://pubmed.ncbi.nlm.nih.gov/36386406
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3
Usability, Perceived Usefulness, and Shared Decision-Making Features of the AFib 2gether Mobile App: Protocol for a Single-Arm Intervention Study
Autor: Carl J. Possidente, David D. McManus, Alok Kapoor, Kathleen M. Mazor, Rozelle Hegeman-Dingle, Kim Nolen, Anna Hayes, Andreza Andrade
Publikováno v: JMIR Research Protocols
Background The Centers for Disease Control and Prevention has estimated that atrial fibrillation (AF) affects between 2.7 million and 6.1 million people in the United States. Those who have AF tend to have a much higher stroke risk than others. Altho
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3fecc084b0557cccc327ffa2ba97fc2
http://europepmc.org/articles/PMC7946587
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4
Usability, Perceived Usefulness, and Shared Decision-Making Features of the AFib 2gether Mobile App: Protocol for a Single-Arm Intervention Study (Preprint)
Autor: Alok Kapoor, Andreza Andrade, Anna Hayes, Kathleen Mazor, Carl Possidente, Kim Nolen, Rozelle Hegeman-Dingle, David McManus
BACKGROUND The Centers for Disease Control and Prevention has estimated that atrial fibrillation (AF) affects between 2.7 million and 6.1 million people in the United States. Those who have AF tend to have a much higher stroke risk than others. Altho
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9f77f7f38f3e52c5cfbb863578d94e5d
https://doi.org/10.2196/preprints.21986
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5
Clinical Integration of a Smartphone App for Patients With Chronic Pain: Retrospective Analysis of Predictors of Benefits and Patient Engagement Between Clinic Visits
Autor: Robert N. Jamison, Edgar L. Ross, Barbara M. Perry, Lance Nicholls, Kim Nolen
Publikováno v: Journal of Medical Internet Research
Journal of Medical Internet Research, Vol 22, Iss 4, p e16939 (2020)
Background Although many pain-related smartphone apps exist, little attention has been given to understanding how these apps are used over time and what factors contribute to greater compliance and patient engagement. Objective This retrospective ana
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::321701abd36679c9032d20171ebe58de
http://europepmc.org/articles/PMC7193441
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7
Performance Evaluation of A Machine Learning Model For Systematic Identification of Wild-type Transthyretin Amyloid Cardiomyopathy At Two Academic Medical Centers
Autor: Ahmad Masri, J. Rebecca Mills, Yindalon Aphinyanaphongs, Kim Nolen, Stephen B. Heitner, Alex Reyentovich, Mohammad Ateya, Ryan Fowler, Ahsan Huda, Marianna Bruno, Alexis Sohn, Adam Castaño, Miriam R. Elman, Birol Emir
Publikováno v: Journal of Cardiac Failure. 26:S38
Introduction Wild-type transthyretin amyloid cardiomyopathy (wtATTR-CM) is a progressive, life-threatening disease that is a recognized but underdiagnosed cause of heart failure (HF). A previously developed and validated machine learning (ML) model t
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8f6501ffd9ba6a5b4b57ea6c0090cc16
https://doi.org/10.1016/j.cardfail.2020.09.114
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