applying of collaborative filtering algorithm for processing of medical data

Clicks: 234
ID: 202939
2015
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #19 of 24 articles by views in journal of wind engineering and industrial aerodynamics

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
The problem of improving of effectiveness of medical facility for implementation of social project is considered. There are different approaches to solve this problem, some of which require additional funding, which is usually absent. Therefore, it was proposed to use the approach of processing and application of patients’ data from medical records. The selection of a representative sample of patients was carried out using the technique of collaborative filtering. Review of the methods of collaborative filtering is performed, which showed that there are three main groups of methods. The first group calculates various measures of similarity between the object. The second group is data mining techniques. The third group of methods is a hybrid approach. The Gower coefficient for calculation of similarity measure of medical records of patients is considered in the article. A model of risk assessment of diseases based on collaborative filtering techniques is developed.
Reference Key
2015vsnikapplying Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Карина Владимировна МЕЛЬНИК
Journal journal of wind engineering and industrial aerodynamics
Year 2015
DOI
10.20998/2413-3000.2015.1111.35
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.