Exploration of Black Boxes of Supervised Machine Learning Models: A Demonstration on Development of Predictive Heart Risk Score.

Sajid, Mirza Rizwan; Khan, Arshad Ali; Albar, Haitham M; Muhammad, Noryanti; Sami, Waqas; Bukhari, Syed Ahmad Chan; Wajahat, Iram

Sajid, Mirza Rizwan; Khan, Arshad Ali; Albar, Haitham M; Muhammad, Noryanti; Sami, Waqas; Bukhari, Syed Ahmad Chan; Wajahat, Iram.

Affiliation

Sajid MR; Department of Statistics, University of Gujrat, Hafiz Hayat Campus Jalalpur Road, Gujrat 50700, Pakistan.
Khan AA; Faculty of Computing, Universiti Malaysia Pahang, Pekan 26600, Malaysia.
Albar HM; Department of Surgery, College of Medicine, Majmaah University, Almajmaah 11952, Saudi Arabia.
Muhammad N; Centre of Excellence for Artificial Intelligence & Data Science, Department of Knowledge Management & Information Technology, Universiti Malaysia Pahang, Gambang 26300, Malaysia.
Sami W; Department of Community Medicine and Public Health, College of Medicine, Majmaah University, Almajmaah 11952, Saudi Arabia.
Bukhari SAC; Azra Naheed Medical College, Superior University, Lahore 54000, Pakistan.
Wajahat I; Division of Computer Science, Mathematics and Science, Collins College of Professional Studies, St. Johns University, New York, NY 11439, USA.

Comput Intell Neurosci ; 2022: 5475313, 2022.

Article in En | MEDLINE | ID: mdl-35602638

Subject(s)

Cardiovascular Diseases; Supervised Machine Learning; Humans; Machine Learning; Neural Networks, Computer; Risk Factors; Support Vector Machine

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cardiovascular Diseases / Supervised Machine Learning Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Comput Intell Neurosci Journal subject: INFORMATICA MEDICA / NEUROLOGIA Year: 2022 Type: Article Affiliation country: Pakistan

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