Data analytics in medical data : A review
作者： M. S. Simi , K. Sankara Nayaki
DOI: 10.1109/ICCPCT.2017.8074337
关键词: Analytics 、 Cultural analytics 、 Data science 、 World Wide Web 、 Semantic analytics 、 Data analysis 、 Knowledge extraction 、 Computer science 、 Business intelligence 、 Business analytics 、 Software analytics
摘要: The knowledge discovery in database (KDD) is alarmed by the advancement of strategies and systems for making utilization data. A standout amongst most vital stride KDD data analytics. Data analytics one extensively researched areas inferable from wide impact showed this computational strategy on differing fields, such as, Artificial Intelligence (AI), databases, statistics, visualization. It has unlimited applications ways to deal with suitable ways. Both medicine have raised some dependable early frameworks different medical services related Medical a dynamic interdisciplinary area research that viewed as result applying artificial intelligence concepts field clinical services. We reviewed papers intricate terms technique, algorithms results. aim work give review foundation benchmarks infertility, present findings results past researches utilizing procedures analyze electronic health records.
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