Development and validation of machine learning-derived frailty index in predicting outcomes of patients undergoing percutaneous coronary intervention.
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| Title: | Development and validation of machine learning-derived frailty index in predicting outcomes of patients undergoing percutaneous coronary intervention. |
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| Authors: | Soong JTY; Yong Loo Lin School of Medicine, National University Singapore, Department of Medicine, National University Hospital, Singapore., Tan LF; Department of Medicine, National University Hospital, Singapore, Alexandra Hospital, Singapore., Soh RYH; National University Heart Centre, National University Hospital, Singapore., He WB; Institute of Hospital Management, West China Hospital of Sichuan University, Chengdu, Sichuan, China.; Institute of Data Science, National University of Singapore, Singapore., Djohan AH; National University Heart Centre, National University Hospital, Singapore., Sim HW; National University Heart Centre, National University Hospital, Singapore., Yeo TC; Yong Loo Lin School of Medicine, National University Singapore, National University Heart Centre, National University Hospital, Singapore., Tan HC; Yong Loo Lin School of Medicine, National University Singapore, National University Heart Centre, National University Hospital, Singapore., Chan MYY; Yong Loo Lin School of Medicine, National University Singapore, National University Heart Centre, National University Hospital, Singapore., Sia CH; Yong Loo Lin School of Medicine, National University Singapore, National University Heart Centre, National University Hospital, Singapore., Feng ML; Saw Swee Hock School of Public Health, National University Health System, Institute of Data Science, National University of Singapore, Singapore. |
| Source: | International journal of cardiology. Heart & vasculature [Int J Cardiol Heart Vasc] 2024 Sep 21; Vol. 55, pp. 101511. Date of Electronic Publication: 2024 Sep 21 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Ireland Ltd Country of Publication: Ireland NLM ID: 101649525 Publication Model: eCollection Cited Medium: Print ISSN: 2352-9067 (Print) Linking ISSN: 23529067 NLM ISO Abbreviation: Int J Cardiol Heart Vasc Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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