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: | Sajid, Mirza Rizwan, Noryanti, Muhammad, Khan, Arshad Ali |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/34848/1/Development%20of%20predictive%20heart%20risk%20score_a%20predictive%20mobile%20apps.CITREX2021..pdf |
Similar Items
-
Exploration of black boxes of supervised machine learning models: A demonstration on development of predictive heart risk score
by: Sajid, Mirza Rizwan, et al.
Published: (2022) -
Android mobile malware detection using Fuzzy AHP
by: Juliza, Mohamad Arif, et al.
Published: (2021) -
Students’ Performance Prediction in Higher Education Using Multi-Agent Framework-Based Distributed Data Mining Approach: A Review
by: Nazir, M., et al.
Published: (2023) -
Identification of significant features and data mining techniques in predicting heart disease
by: Amin, Mohammad Shafenoor, et al.
Published: (2019) -
A Review on Predictive Model for Heart Disease using Wearable Devices Datasets
by: Mohd Syafiq Asyraf, Suhaimi, et al.
Published: (2024)