Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Samer S Al-Droubi"'
Autor:
Samer S Al-Droubi, Eiman Jahangir, Karl M Kochendorfer, Marianna Krive, Michal Laufer-Perl, Dan Gilon, Tochukwu M Okwuosa, Christopher P Gans, Joshua H Arnold, Shakthi T Bhaskar, Hesham A Yasin, Jacob Krive
Publikováno v:
European Heart Journal - Digital Health.
Aims There are no comprehensive machine learning (ML) tools used by oncologists to assist with risk identification and referrals to cardio-oncology. This study applies ML algorithms to identify oncology patients at risk for cardiovascular disease for
Autor:
Zapf MAC; Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, USA. Electronic address: matthew.a.zapf@vumc.org., Fabbri DV; Department of Biomedical Informatics and Department of Computer Science, Vanderbilt University Medical Center, Nashville, TN, USA., Andrews J; Department of Pathology, Microbiology and Immunology and Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA., Li G; Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, USA., Freundlich RE; Department of Anesthesiology and Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA., Al-Droubi S; HealthIT Department, Vanderbilt University Medical Center, Nashville, TN, USA., Wanderer JP; Department of Anesthesiology and Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
Publikováno v:
Journal of clinical anesthesia [J Clin Anesth] 2023 Dec; Vol. 91, pp. 111272. Date of Electronic Publication: 2023 Sep 27.