Sajid, Mirza Rizwan and Noryanti, Muhammad and Khan, Arshad Ali (2021) Development of predictive heart risk score : A predictive mobile apps. In: Creation, Innovation, Technology & Research Exposition (CITREX) 2021 , 2021 , Virtually hosted by Universiti Malaysia Pahang. p. 1..
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Abstract
Predictive Model of Heart Risk Score. Non-Laboratory-Based Heart Risk Score (NLHRS) Apps has been developed based on risk prediction models produced from novel machine learning (ML) methodology. The NLHRS Apps recommended formal risk assessment tool to assess cardiovascular diseases (CVDs) risk for the primary prevention of CVDs in people. This apps contains 14 variables/features which are used to determine weather a person has CVDs.
| Item Type: | Conference or Workshop Item (Poster) |
|---|---|
| Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) |
| Faculty/Division: | Center for Mathematical Science Faculty of Computing |
| Depositing User: | Mr Muhamad Firdaus Janih@Jaini |
| Date Deposited: | 11 Aug 2022 03:37 |
| Last Modified: | 11 Aug 2022 03:37 |
| URI: | http://umpir.ump.edu.my/id/eprint/34848 |
| Download Statistic: | View Download Statistics |
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