RDET stacking classifier: a novel machine learning based approach for stroke prediction using imbalance data.

Rehman, Amjad; Alam, Teg; Mujahid, Muhammad; Alamri, Faten S; Ghofaily, Bayan Al; Saba, Tanzila

Rehman, Amjad; Alam, Teg; Mujahid, Muhammad; Alamri, Faten S; Ghofaily, Bayan Al; Saba, Tanzila.

Affiliation

Rehman A; Artificial Intelligence & Data Analytics Lab CCIS, Prince Sultan University, Riyadh, Saudi Arabia.
Alam T; Department of Industrial Engineering, College of Engineering, Prince Sattam bin Abdulaziz University, Al Kharj, Saudi Arabia.
Mujahid M; Azad Institute of Engineering and Technology, Azad Puram, Chandrawal via Bangla Bazar & Bijnour, Near CRPF Camp, Lucknow, India.
Alamri FS; Artificial Intelligence & Data Analytics Lab CCIS, Prince Sultan University, Riyadh, Saudi Arabia.
Ghofaily BA; Department of Mathematical Sciences, College of Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Saba T; Artificial Intelligence & Data Analytics Lab CCIS, Prince Sultan University, Riyadh, Saudi Arabia.

PeerJ Comput Sci ; 9: e1684, 2023.

Article de En | MEDLINE | ID: mdl-38077612

Mots clés

Machine learning; SMOTE; Stacking ensemble; Stroke prediction; Voting classifier

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: PeerJ Comput Sci Année: 2023 Type de document: Article Pays d'affiliation: Arabie saoudite Pays de publication: États-Unis d'Amérique

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