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Clinical Data Mining for Physician Decision Making and Investigating Health Outcomes: Methods for Prediction and Analysis (Premier Reference Source)

Patricia Cerrito




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 | #3575081 in Books |  Medical Information Science Reference |  2010-06-01 | Original language:English | PDF # 1 |  11.02 x.88 x8.50l,2.80 | File type: PDF | 386 pages

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||0 of 0 people found the following review helpful.| I find this book very useful. The demonstrations using datasets from major medical databases ...|By JOJY CHERIYAN|As a physician and a medical informaticist, I find this book very useful. The demonstrations using datasets from major medical databases like NIS, Medpar, MEPS are worth learning. I have used some of these databases for my previous studies. Also, I like the descript|About the Author|Patricia Cerrito (PhD) has made considerable strides in the development of data mining techniques to investigate large, complex medical data. In particular, she has developed a method to automate the reduction of the number of levels in a

The investigation of healthcare databases can be used to examine physician decisions and develop evidence-based treatment guidelines that optimize patient outcomes.

Clinical Data Mining for Physician Decision Making and Investigating Health Outcomes: Methods for Prediction and Analysis demonstrates how concern for detail in datasets and the use of data mining techniques can extract important and meaningful knowledge from healthcare databases. Basic informat...

You easily download any file type for your device.Clinical Data Mining for Physician Decision Making and Investigating Health Outcomes: Methods for Prediction and Analysis (Premier Reference Source)   |  Patricia Cerrito.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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