A Survey on Heart Disease Prediction Using Machine Learning Techniques

被引:0
作者
Deepa, V. Amala [1 ]
Beena, T. Lucia Agnes [1 ]
机构
[1] Bharathidasan Univ, St Josephs Coll Autonomous, Dept Comp Sci, Tiruchirappalli 620002, Tamil Nadu, India
来源
APPLIED INTELLIGENCE AND INFORMATICS, AII 2023 | 2024年 / 2065卷
关键词
Accuracy; Classification Technique; Decision Tree; Feature Selection; Machine Learning; Prediction;
D O I
10.1007/978-3-031-68639-9_15
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In recent decades, Cardio Vascular Diseases have been the main cause of death around the globe. It has developed into the most lethal illness not just in India but all throughout the world. Therefore, a trustworthy, accurate, and workable method is needed to identify these illnesses early enough for effective therapy. A number of medical datasets have been subjected to machine learning methods and methods for automating the study of huge and complex data. Many researchers have lately applied a variety of machine learning algorithms to help the medical community and specialists identify heart-related illnesses. This study thoroughly assesses the chosen papers and highlights gaps in the body of knowledge, making it valuable for researchers interested in using machine learning in the medical field, especially in the area of heart disease prognosis.
引用
收藏
页码:243 / 254
页数:12
相关论文
共 25 条
[1]  
Al-janabi M. I., 2018, INT J ENG TECHNOLOGY, V7, P5373
[2]   A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion [J].
Ali, Farman ;
El-Sappagh, Shaker ;
Islam, S. M. Riazul ;
Kwak, Daehan ;
Ali, Amjad ;
Imran, Muhammad ;
Kwak, Kyung-Sup .
INFORMATION FUSION, 2020, 63 :208-222
[3]   Heart disease prediction using supervised machine learning algorithms: Performance analysis and comparison [J].
Ali, Md Mamun ;
Paul, Bikash Kumar ;
Ahmed, Kawsar ;
Bui, Francis M. ;
Quinn, Julian M. W. ;
Moni, Mohammad Ali .
COMPUTERS IN BIOLOGY AND MEDICINE, 2021, 136
[4]   Prediction of heart disease and classifiers' sensitivity analysis [J].
Almustafa, Khaled Mohamad .
BMC BIOINFORMATICS, 2020, 21 (01)
[5]  
Bashir S, 2019, INT BHURBAN C APPL S, P619, DOI 10.1109/IBCAST.2019.8667106
[6]  
Choubey DK, 2020, INT J RECENT TECHNOL, V9, P212
[7]  
Faiayaz W.S., 2021, Mater. Today Proc.
[8]   Efficient Prediction of Cardiovascular Disease Using Machine Learning Algorithms With Relief and LASSO Feature Selection Techniques [J].
Ghosh, Pronab ;
Azam, Sami ;
Jonkman, Mirjam ;
Karim, Asif ;
Shamrat, F. M. Javed Mehedi ;
Ignatious, Eva ;
Shultana, Shahana ;
Beeravolu, Abhijith Reddy ;
De Boer, Friso .
IEEE ACCESS, 2021, 9 :19304-19326
[9]  
Indra Kumari R., 2020, PROCEDIA COMPUTER SC, V173, P130, DOI DOI 10.1016/J.PROCS.2020.06.017
[10]   Ensemble Methods for Heart Disease Prediction [J].
Karadeniz, Talha ;
Tokdemir, Gul ;
Maras, Hadi Hakan .
NEW GENERATION COMPUTING, 2021, 39 (3-4) :569-581