Automated Real-Time Percutaneous Coronary Intervention Risk Model Leveraging Electronic Health Records.

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Bibliographic Details
Title: Automated Real-Time Percutaneous Coronary Intervention Risk Model Leveraging Electronic Health Records.
Authors: Singh M; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA. Electronic address: singh.mandeep@mayo.edu., Arruda-Olson AM; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA., Lewis BR; Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, USA., Johnson BK; Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, USA., Chaudhry R; Community Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA., Arghami A; Cardiovascular Surgery, Mayo Clinic, Rochester, Minnesota, USA., Alkhouli M; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA., Rihal CS; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Source: JACC. Advances [JACC Adv] 2025 Jul; Vol. 4 (7), pp. 101865. Date of Electronic Publication: 2025 Jun 25.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Inc Country of Publication: United States NLM ID: 9918419284106676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2772-963X (Electronic) Linking ISSN: 2772963X NLM ISO Abbreviation: JACC Adv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2772-963X
DOI:10.1016/j.jacadv.2025.101865