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еНаука >  Резултати >  A Machine Learning Approach to Developing an Accurate Prediction of Maximal Heart Rate During Exercise Testing in Apparently Healthy Adults.
Назив: A Machine Learning Approach to Developing an Accurate Prediction of Maximal Heart Rate During Exercise Testing in Apparently Healthy Adults.
Аутори V. Marković  
Година: 2023
Публикација: Journal of Cardiopulmonary Rehabilitation and Prevention
ISSN 1932-751x Претражи идентификатор
Тип резултата: Научни чланак
Колација: vol. 43 br. 5 str. 377-383
DOI: 10.1097/hcr.0000000000000786
WoS-ID: 001055642300010
Scopus-ID: 2-s2.0-85168785795
URI: https://enauka.gov.rs/handle/123456789/763355
http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/2/11341
http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/2/9486
https://journals.lww.com/jcrjournal/abstract/2023/09000/a_machine_learning_approach_to_developing_an.9.aspx
Пројекат: FRIEND Consortium Contributors: Ball State University (Matthew Harber, Leonard Kaminsky, and Mitchell Whaley), Brooke Army Medical Center (Kenneth Leclerc), Johns Hopkins University (Kerry Stewart), Southern Connecticut State University (Robert Axtell), an
FRIEND Consortium Contributors: Ball State University
Brooke Army Medical Center
University of Tennessee, Knoxville (David Bassett)
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21M21 - Водећи међународни часопис категорије M21

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