A Review on Predictive Model for Heart Disease using Wearable Devices Datasets
Heart diseases were the number one killer in Malaysia based on the data from the Department of Statistics Malaysia in the previous year. Heart diseases were the principal causes of death for the population aged 41 and above. Many studies have discovered the factors that cause heart disease and ways...
Main Authors: | Mohd Syafiq Asyraf, Suhaimi, Nor Azuana, Ramli, Noryanti, Muhammad |
---|---|
Format: | Article |
Language: | English |
Published: |
Penerbit UniMAP
2024
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/41455/1/100-112%2BA%2BReview%2Bon%2BPredictive%2BModel%2Bfor%2BHeart%2BDisease%2Busing%2BWearable%2BDevices%2BDatasets.pdf |
Similar Items
-
Heart disease prediction using ensemble of k-nearest neighbour, random forest and logistic regression method
by: Mohd Syafiq Asyraf, Suhaimi, et al.
Published: (2024) -
Wearable devices for healthcare, medicine, and diseases
by: Saidin, Aeni Zuhana, et al.
Published: (2019) -
Development of predictive heart risk score : A predictive mobile apps
by: Sajid, Mirza Rizwan, et al.
Published: (2021) -
Comparison of Statistic Prediction Results in Weka Explorer Interface and Experimenter Environment Interface on Dataset
by: Thamer Khalil, Esmeel, et al.
Published: (2019) -
Heart disease prediction using case based reasoning (CBR)
by: Bhuiyan, Mohaiminul Islam, et al.
Published: (2024)