Implementation of machine learning techniques with big data and IoT to create effective prediction models for health informatics

• Main Authors: Zamani, Abu Sarwar, Hassan Abdalla Hashim, Aisha, Shatat, Abdallah Saleh Ali, Akhtar, Md. Mobin, Rizwanullah, Mohammed, Mohamed, Sara Saadeldeen Ibrahim
• Format: Article
• Language: English; English
• Published: Elsevier 2024
• Subjects: TK7885 Computer engineering
• Online Access: http://irep.iium.edu.my/112311/2/112311_Implementation%20of%20machine%20learning%20techniques_SCOPUS.pdf; http://irep.iium.edu.my/112311/3/112311_Implementation%20of%20machine%20learning%20techniques.pdf; http://irep.iium.edu.my/112311/; https://www.sciencedirect.com/science/article/abs/pii/S1746809424003057?via%3Dihub
• Institution: Universiti Islam Antarabangsa Malaysia

As a result of the availability of healthcare data in sheer size, big data analytics has to grow regularly in this industry to ensure new andeffective opportunities. This is helpful in providing early prevention, prediction, and detection of disease, thus helping in the enhancement ofthe overall lif...