Machine learning based efficient prediction of positive cases of waterborne diseases

BMC Medical Informatics and Decision Making

Research

Omar Cheikhrouhou¹  Mehmet Akif Cifci²  Muhammad Ibrahim³  Tayyaba Sehar⁴  Mushtaq Hussain⁴  Said Nabi⁴  Fida Mohammad⁵  Hasaan Maqsood⁵ 

[1] CES Lab, National School of Engineers of Sfax, University of Sfax, 3038, Sfax, Tunisia;Department of Computer Engineering, Bandirma Onyedi Eylul University, Balıkesir, Turkey;Informatics, Klaipeda State University of Applied Sciences, 91274, Klaipeda, Lithuania;Department of Computer Engineering, Jeju National University, Jeju-si, South Korea;Department of Computer Science and Information Technology, Virtual University of Pakistan, Lahore, Pakistan;Department of Information Technology, The University of Haripur, Haripur, Pakistan;

关键词: Machine learning;    Patient information;    Malaria;    Typhoid;    Waterborne disease;   

DOI  :  10.1186/s12911-022-02092-1

 received in 2022-06-12, accepted in 2022-12-19,  发布年份 2022

来源: Springer

【 授权许可】

CC BY   
© The Author(s) 2023

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