A Machine Learning Approach to Developing an Accurate Prediction of Maximal Heart Rate During Exercise Testing in Apparently Healthy Adults.

Rezultati

Naziv:	A Machine Learning Approach to Developing an Accurate Prediction of Maximal Heart Rate During Exercise Testing in Apparently Healthy Adults.
Autori :	V. Marković
Godina:	2023
Publikacija:	Journal of Cardiopulmonary Rehabilitation and Prevention
ISSN :	1932-751x Pretraži identifikator
Tip rezultata:	Naučni članak
Kolacija:	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
Projekat:	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)
M-kategorija:	21M21 - Vodeći međunarodni časopis kategorije M21

2
SCOPUS^TM

3
WEB OF SCIENCE^TM

Alt metrika

Dimensions

Unpaywall

Rezultati na eNauka su zaštićeni autorskim pravima i sva prava su zadržana, osim ako nije drugačije naznačeno.