Machine learning integration of circulating and imaging biomarkers for explainable patient-specific prediction of cardiac events: A prospective study

BACKGROUND AND AIMS: We sought to assess the performance of a comprehensive machine learning (ML) risk score integrating circulating biomarkers and computed tomography (CT) measures for the long-term prediction of hard cardiac events in asymptomatic subjects. METHODS: We studied 1069 subjects (age 5...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
में प्रकाशित:Atherosclerosis
मुख्य लेखकों: Tamarappoo, Balaji K, Lin, Andrew, Commandeur, Frederic, McElhinney, Priscilla A, Cadet, Sebastien, Goeller, Markus, Razipour, Aryabod, Chen, Xi, Gransar, Heidi, Cantu, Stephanie, Miller, Robert JH, Achenbach, Stephan, Friedman, John, Hayes, Sean, Thomson, Louise, Wong, Nathan D, Rozanski, Alan, Slomka, Piotr J, Berman, Daniel S, Dey, Damini
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: 2020
विषय:
Article
ऑनलाइन पहुंच:https://ncbi.nlm.nih.gov/pmc/articles/PMC7856265/
https://ncbi.nlm.nih.gov/pubmed/33239189
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.atherosclerosis.2020.11.008
टैग : टैग जोड़ें
कोई टैग नहीं, इस रिकॉर्ड को टैग करने वाले पहले व्यक्ति बनें!

समान संसाधन