Description
Artificial intelligence (AI) has become pervasive in most areas of research and applications. While computation can significantly reduce mental efforts for complex problem solving, effective computer algorithms allow continuous improvement of AI tools to handle complexity—in both time and memory requirements—for machine learning in large datasets. Advances in Artificial Intelligence, Computation, and Data Science: For Medicine and Life Science attempts to report recent advances in the complementary domains of AI, computation, and data science with applications in medicine and life science. Meanwhile, data science is an evolving scientific discipline that strives to overcome the hindrance of traditional skills that are too limited to enable scientific discovery when leveraging research outcomes. Solutions to many problems in medicine and life science, which cannot be answered by these conventional approaches, are urgently needed for society.371 p.
Series: Computational Biology, 31
- Tuan D. Pham, Editor. Center for Artificial Intelligence, Prince Mohammad Bin Fahd University Khobar (Saudi Arabia).
- Hong Yan, Editor. Department of Electrical Engineering, City University of Hong Kong, Kowloon (Hong Kong).
- Muhammad W. Ashraf, Editor. College of Sciences and Human Studies, Prince Mohammad Bin Fahd University Khobar (Saudi Arabia). Et al…
- Publication date (digital version): 2021-07 – ISBC (International Society for Computational Biology)/Springer.
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