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

The rapid advancement of digital technologies, particularly in big data analytics (BDA), artificial intelligence (AI), machine learning (ML), and deep learning (DL), is reshaping the global health care system, including in Bangladesh. The increased adoption of these technologies in health care deliv...

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Vydáno v:	Journal of medical Internet research Ročník 26; číslo 9; s. e54710
Hlavní autoři:	Alam, Md Ashraful, Sajib, Md Refat Uz Zaman, Rahman, Fariya, Ether, Saraban, Hanson, Molly, Sayeed, Abu, Akter, Ema, Nusrat, Nowrin, Islam, Tanjeena Tahrin, Raza, Sahar, Tanvir, K M, Chisti, Mohammod Jobayer, Rahman, Qazi Sadeq-ur, Hossain, Akm, Layek, MA, Zaman, Asaduz, Rana, Juwel, Rahman, Syed Moshfiqur, Arifeen, Shams El, Rahman, Ahmed Ehsanur, Ahmed, Anisuddin
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Canada Journal of Medical Internet Research 28.10.2024 JMIR Publications
Témata:	Analysis Artificial Intelligence Bangladesh Big Data big data analytics Data Science - methods Deep Learning Delivery of Health Care - statistics & numerical data Health aspects health care Humans Machine Learning Methods mobile phone public health Review Telemedicine Bangladesh United States deep learning Bangladesh big data analytics mobile phone machine learning artificial intelligence health care public health
ISSN:	1438-8871, 1439-4456, 1438-8871
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