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Predicting In-Hospital Mortality After Transcatheter Aortic Valve Replacement Using Administrative Data And Machine Learning, Theyab Alhwiti, Summer Aldrugh, Fadel M. Megahed
Predicting In-Hospital Mortality After Transcatheter Aortic Valve Replacement Using Administrative Data And Machine Learning, Theyab Alhwiti, Summer Aldrugh, Fadel M. Megahed
School of Business
Transcatheter aortic valve replacement (TAVR) is the gold standard treatment for patients with symptomatic aortic stenosis. The utility of existing risk prediction tools for in-hospital mortality post-TAVR is limited due to two major factors: (a) the predictive accuracy of these tools is insufficient when only preoperative variables are incorporated, and (b) their efficacy is also compromised when solely postoperative variables are employed, subsequently constraining their application in preoperative decision support. This study examined whether statistical/machine learning models trained with solely preoperative information encoded in the administrative National Inpatient Sample database could accurately predict in-hospital outcomes (death/survival) post-TAVR. Fifteen popular binary …
The Mosakowski Institute For Public Enterprise Five Year Report, Mosakowski Institute
The Mosakowski Institute For Public Enterprise Five Year Report, Mosakowski Institute
Mosakowski Institute for Public Enterprise
This report contains the highlights of the first five years of Clark University’s Mosakowski Institute for Public Enterprise. It includes a description of the Institute’s founding, its commitment to use-inspired research, transformational educational experiences, and community connectedness, the Institute’s leadership and finances, and a listing of projects undertaken and faculty partners.