Literature DB >> 32172625

Machine Learning in Risk Prediction.

Johan Sundström1,2, Thomas B Schön3.   

Abstract

Year:  2020        PMID： 32172625     DOI： 10.1161/HYPERTENSIONAHA.120.13516

Source DB:  PubMed          Journal:  Hypertension        ISSN： 0194-911X            Impact factor:   10.190


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  2 in total

Review 1.  Optimising Cardiometabolic Risk Factors in Pregnancy: A Review of Risk Prediction Models Targeting Gestational Diabetes and Hypertensive Disorders.

Authors:  Eleanor P Thong; Drishti P Ghelani; Pamada Manoleehakul; Anika Yesmin; Kaylee Slater; Rachael Taylor; Clare Collins; Melinda Hutchesson; Siew S Lim; Helena J Teede; Cheryce L Harrison; Lisa Moran; Joanne Enticott
Journal:  J Cardiovasc Dev Dis       Date:  2022-02-10

2.  Use of machine learning techniques to identify risk factors for RV failure in LVAD patients.

Authors:  Nandini Nair
Journal:  Front Cardiovasc Med       Date:  2022-09-14
  2 in total

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