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Implications of Big Data Analytics, AI, Machine Learning, and Deep Learning in the Health Care System of Bangladesh: Scoping Review

Implications of Big Data Analytics, AI, Machine Learning, and Deep Learning in the Health Care System of Bangladesh: Scoping Review

Moreover, Islam et al [48] and Asaduzzaman et al [39] incorporated different ML techniques (decision tree, support vector machine, XGBoost, gradient boosting machine, logistic regression, and linear discriminant analysis) to identify individuals at risk of NCDs, such as diabetes, hypertension, and cancer, as well as explored potential factors influencing the severity, considering the growing burden of NCDs in Bangladesh.

Md Ashraful Alam, Md Refat Uz Zaman Sajib, Fariya Rahman, Saraban Ether, Molly Hanson, Abu Sayeed, Ema Akter, Nowrin Nusrat, Tanjeena Tahrin Islam, Sahar Raza, K M Tanvir, Mohammod Jobayer Chisti, Qazi Sadeq-ur Rahman, Akm Hossain, MA Layek, Asaduz Zaman, Juwel Rana, Syed Moshfiqur Rahman, Shams El Arifeen, Ahmed Ehsanur Rahman, Anisuddin Ahmed

J Med Internet Res 2024;26:e54710