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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.
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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PubType: Academic Journal
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  Data: Development and validation of machine learning-derived frailty index in predicting outcomes of patients undergoing percutaneous coronary intervention.
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  Data: <searchLink fieldCode="AU" term="%22Soong+JTY%22">Soong JTY</searchLink>; Yong Loo Lin School of Medicine, National University Singapore, Department of Medicine, National University Hospital, Singapore.<br /><searchLink fieldCode="AU" term="%22Tan+LF%22">Tan LF</searchLink>; Department of Medicine, National University Hospital, Singapore, Alexandra Hospital, Singapore.<br /><searchLink fieldCode="AU" term="%22Soh+RYH%22">Soh RYH</searchLink>; National University Heart Centre, National University Hospital, Singapore.<br /><searchLink fieldCode="AU" term="%22He+WB%22">He WB</searchLink>; Institute of Hospital Management, West China Hospital of Sichuan University, Chengdu, Sichuan, China.; Institute of Data Science, National University of Singapore, Singapore.<br /><searchLink fieldCode="AU" term="%22Djohan+AH%22">Djohan AH</searchLink>; National University Heart Centre, National University Hospital, Singapore.<br /><searchLink fieldCode="AU" term="%22Sim+HW%22">Sim HW</searchLink>; National University Heart Centre, National University Hospital, Singapore.<br /><searchLink fieldCode="AU" term="%22Yeo+TC%22">Yeo TC</searchLink>; Yong Loo Lin School of Medicine, National University Singapore, National University Heart Centre, National University Hospital, Singapore.<br /><searchLink fieldCode="AU" term="%22Tan+HC%22">Tan HC</searchLink>; Yong Loo Lin School of Medicine, National University Singapore, National University Heart Centre, National University Hospital, Singapore.<br /><searchLink fieldCode="AU" term="%22Chan+MYY%22">Chan MYY</searchLink>; Yong Loo Lin School of Medicine, National University Singapore, National University Heart Centre, National University Hospital, Singapore.<br /><searchLink fieldCode="AU" term="%22Sia+CH%22">Sia CH</searchLink>; Yong Loo Lin School of Medicine, National University Singapore, National University Heart Centre, National University Hospital, Singapore.<br /><searchLink fieldCode="AU" term="%22Feng+ML%22">Feng ML</searchLink>; Saw Swee Hock School of Public Health, National University Health System, Institute of Data Science, National University of Singapore, Singapore.
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  Data: <searchLink fieldCode="JN" term="%22101649525%22">International journal of cardiology. Heart & vasculature</searchLink> [Int J Cardiol Heart Vasc] 2024 Sep 21; Vol. 55, pp. 101511. <i>Date of Electronic Publication: </i>2024 Sep 21 (<i>Print Publication: </i>2024).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Ireland+Ltd%22">Elsevier Ireland Ltd </searchLink><i>Country of Publication: </i>Ireland <i>NLM ID: </i>101649525 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2352-9067 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2223529067%22">23529067 </searchLink><i>NLM ISO Abbreviation: </i>Int J Cardiol Heart Vasc <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.1016/j.ijcha.2024.101511
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              M: 09
              Text: 2024 Sep 21
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