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Title:

Risk Prediction of Cardiovascular Events by Exploration of Molecular Data with Explainable Artificial Intelligence.

Document type:
Journal Article; Review
Author(s):
Westerlund, Annie M; Hawe, Johann S; Heinig, Matthias; Schunkert, Heribert
Abstract:
Cardiovascular diseases (CVD) annually take almost 18 million lives worldwide. Most lethal events occur months or years after the initial presentation. Indeed, many patients experience repeated complications or require multiple interventions (recurrent events). Apart from affecting the individual, this leads to high medical costs for society. Personalized treatment strategies aiming at prediction and prevention of recurrent events rely on early diagnosis and precise prognosis. Complementing the...     »
Journal title abbreviation:
Int J Mol Sci
Year:
2021
Journal volume:
22
Journal issue:
19
Fulltext / DOI:
doi:10.3390/ijms221910291
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/34638627
Print-ISSN:
1422-0067
TUM Institution:
Klinik für Herz- und Kreislauferkrankungen im Erwachsenenalter (Prof. Schunkert)
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