Shinde et al., 2018 - Google Patents
Intelligent health risk prediction systems using machine learning: a reviewShinde et al., 2018
View PDF- Document ID
- 15375016078462231465
- Author
- Shinde S
- Rajeswari P
- Publication year
- Publication venue
- Int. J. Eng. Technol
External Links
Snippet
Humans are considered to be the most intelligent species on the mother earth and are inherently more health conscious. Since Centuries mankind has discovered various proven healthcare systems. To automate the process and predict diseases more accurately …
- 238000010801 machine learning 0 title abstract description 43
Classifications
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- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/345—Medical expert systems, neural networks or other automated diagnosis
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- G—PHYSICS
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- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
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- G06F19/322—Management of patient personal data, e.g. patient records, conversion of records or privacy aspects
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- G—PHYSICS
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- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
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- G06Q50/24—Patient record management
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- G06Q10/00—Administration; Management
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