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Improving prediction of maternal health risks using PCA features and TreeNet model.

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第一作者： Leila,Jamel

第一单位： Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.

作者： Leila,Jamel ^[1] ; Muhammad,Umer ^[2] ; Oumaima,Saidani ^[1] ; Bayan,Alabduallah ^[1] ; Shtwai,Alsubai ^[3] ; Farruh,Ishmanov ^[4] ; Tai-Hoon,Kim ^[5] ; Imran,Ashraf ^[6]

作者单位： Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia. ^[1] Department of Computer Science & Information Technology, The Islamia University of Bahawalpur, Bahawalpur, Punjab, Pakistan. ^[2] Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia. ^[3] Department of Electronics and Communication Engineering, Kwangwoon University, Seoul, Republic of South Korea. ^[4] School of Electrical and Computer Engineering, Yeosu Campus, Chonnam National University, Daehak-ro, Yeosu-si, Jeollanam-do, Republic of South Korea. ^[5] Department of Information and Communication Engineering, Yeungnam University, Gyeongsan, Republic of South Korea. ^[6]

关键词 Ensemble learning Feature engineering Healthcare Maternal health risk detection PCA features

DOI 10.7717/peerj-cs.1982

PMID 38660162

发布时间 2024-04-26

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