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Predicting Major Adverse Cardiovascular Events in Acute Coronary Syndrome: A Scoping Review of Machine Learning Approaches.
Chopannejad, Sara; Sadoughi, Farahnaz; Bagherzadeh, Rafat; Shekarchi, Sakineh.
Affiliation
  • Chopannejad S; Student Research Committee, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
  • Sadoughi F; School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
  • Bagherzadeh R; English Language Department, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
  • Shekarchi S; School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
Appl Clin Inform ; 13(3): 720-740, 2022 05.
Article in En | MEDLINE | ID: mdl-35617971
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Acute Coronary Syndrome Type of study: Guideline / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limits: Humans Language: En Journal: Appl Clin Inform Year: 2022 Document type: Article Affiliation country: Irán Country of publication: Alemania
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Acute Coronary Syndrome Type of study: Guideline / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limits: Humans Language: En Journal: Appl Clin Inform Year: 2022 Document type: Article Affiliation country: Irán Country of publication: Alemania