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Non-communicable Diseases, Big Data and Artificial Intelligence by Youxin Wang
English | PDF | 2022 | 216 Pages | ISBN : N/A | 20.5 MB
The 2030 Agenda for Sustainable Development adopted by the United Nations in 2015 recognized non-communicable diseases (NCDs) as a major public health challenge. NCDs are usually multifactorial diseases influenced by both genetic and environmental factors, which makes them difficult to prevent and treat effectively. Medical and health big data, consisting of lifestyle, clinical, and biological data, provide an almost unlimited amount of information about diseases, far exceeding the human ability to make sense of it. Artificial intelligence (AI) offers the potential to analyze large and complex datasets in order to improve predictive, preventive, and personalized medicine (3P medicine)
The 2030 Agenda for Sustainable Development adopted by the United Nations in 2015 recognized non-communicable diseases (NCDs) as a major public health challenge. NCDs are usually multifactorial diseases influenced by both genetic and environmental factors, which makes them difficult to prevent and treat effectively. Medical and health big data, consisting of lifestyle, clinical, and biological data, provide an almost unlimited amount of information about diseases, far exceeding the human ability to make sense of it. Artificial intelligence (AI) offers the potential to analyze large and complex datasets in order to improve predictive, preventive, and personalized medicine (3P medicine)
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