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portada Personal Medical Data Analysis
Type
Physical Book
Author
Publisher
Language
English
Pages
112
Format
Paperback
Dimensions
22.9x15.2x0.7 cm
Weight
0.18 kg.
ISBN13
9786139447992
Categories

Personal Medical Data Analysis

Natalia Shakhovska (Author) · Solomiia Fedushko (Author) · Nataliia Melnykova (Author) · LAP Lambert Academic Publishing · Paperback

Personal Medical Data Analysis - Fedushko, Solomiia ; Shakhovska, Natalia ; Melnykova, Nataliia

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Delivery: 12 Oct - 14 Oct Shipping: 13 to 14 business days.
€ 59,74
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Synopsis "Personal Medical Data Analysis"

Monograph considers a problem of analysis of personal medical data and describes the application of machine learning technology and Big data to solve the problem of personalized approach in the tasks of making medical decisions. This information to develop innovative approaches to risk forecasting, modeling therapies, and improving the quality of medical care by personalizing treatment schemes of patients is used. And it will also allow you to effectively optimize data processing even when new information revenues come from different sources. Also this monograph describes the verifying methods of medical specialty from user profile of online community for health-related advices, actual fuzzy logic approach for modelling the behavior classification of social news aggregations users and the analysis of personal patient information whisch is one of critical factors for analysis of medical data. In medical and biological research, as well as in practical medicine, the range of tasks to be solved is so wide that it is possible to use any of the methodologies of machine learning and Big Data.

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