Development of predictive heart risk score : A predictive mobile apps
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...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2021
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/34848/ http://umpir.ump.edu.my/id/eprint/34848/1/Development%20of%20predictive%20heart%20risk%20score_a%20predictive%20mobile%20apps.CITREX2021..pdf |
| _version_ | 1848824617636986880 |
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| author | Sajid, Mirza Rizwan Noryanti, Muhammad Khan, Arshad Ali |
| author_facet | Sajid, Mirza Rizwan Noryanti, Muhammad Khan, Arshad Ali |
| author_sort | Sajid, Mirza Rizwan |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T03:15:53Z |
| format | Conference or Workshop Item |
| id | ump-34848 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:15:53Z |
| publishDate | 2021 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-348482022-08-11T03:37:16Z http://umpir.ump.edu.my/id/eprint/34848/ Development of predictive heart risk score : A predictive mobile apps Sajid, Mirza Rizwan Noryanti, Muhammad Khan, Arshad Ali QA Mathematics QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) 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. 2021 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/34848/1/Development%20of%20predictive%20heart%20risk%20score_a%20predictive%20mobile%20apps.CITREX2021..pdf 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.. (Published) |
| spellingShingle | QA Mathematics QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) Sajid, Mirza Rizwan Noryanti, Muhammad Khan, Arshad Ali Development of predictive heart risk score : A predictive mobile apps |
| title | Development of predictive heart risk score : A predictive mobile apps |
| title_full | Development of predictive heart risk score : A predictive mobile apps |
| title_fullStr | Development of predictive heart risk score : A predictive mobile apps |
| title_full_unstemmed | Development of predictive heart risk score : A predictive mobile apps |
| title_short | Development of predictive heart risk score : A predictive mobile apps |
| title_sort | development of predictive heart risk score : a predictive mobile apps |
| topic | QA Mathematics QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) |
| url | http://umpir.ump.edu.my/id/eprint/34848/ http://umpir.ump.edu.my/id/eprint/34848/1/Development%20of%20predictive%20heart%20risk%20score_a%20predictive%20mobile%20apps.CITREX2021..pdf |