Data-Mining-Based Coronary Heart Disease Risk Prediction Model Using Fuzzy Logic and Decision Tree
Jaekwon Kim, Jongsik Lee, Youngho Lee
Healthc Inform Res. 2015;21(3):167-174. Published online 2015 Jul 31 DOI: https://doi.org/10.4258/hir.2015.21.3.167
|
Citations to this article as recorded by
Which risk factor best predicts coronary artery disease using artificial neural network method?
Nahid Azdaki, Fatemeh Salmani, Toba Kazemi, Neda Partovi, Saeede Khosravi Bizhaem, Masomeh Noori Moghadam, Yoones Moniri, Ehsan Zarepur, Noushin Mohammadifard, Hassan Alikhasi, Fatemeh Nouri, Nizal Sarrafzadegan, Seyyed Ali Moezi, Mohammad Reza Khazdair
BMC Medical Informatics and Decision Making.2024;[Epub] CrossRef Attention Aware Deep Learning Approaches for an Efficient Stress Classification Model
Muhammad Zulqarnain, Habib Shah, Rozaida Ghazali, Omar Alqahtani, Rubab Sheikh, Muhammad Asadullah
Brain Sciences.2023; 13(7): 994. CrossRef Modeling the diagnosis of coronary artery disease by discriminant analysis and logistic regression: a cross-sectional study
Sahar Shariatnia, Majid Ziaratban, Abdolhalim Rajabi, Aref Salehi, Kobra Abdi Zarrini, Mohammadali Vakili
BMC Medical Informatics and Decision Making.2022;[Epub] CrossRef PREDICTIVE THE HEART DISEASE USING THE WEIGHTED GAIN DECISION TREE ALGORTHIM
Deepak Saraswat, Preetvanti Singh
GLOBAL JOURNAL FOR RESEARCH ANALYSIS.2022; : 64. CrossRef Mobile-Based Self-Monitoring for Preventing Patients with Type 2 Diabetes Mellitus and Hypertension from Cardiovascular Complication
Napa Rachata, Punnarumol Temdee
Wireless Personal Communications.2021; 117(1): 151. CrossRef Early Prediction of Coronary Artery Disease (CAD) by Machine Learning Method - A Comparative Study
Joy Iong Zong Chen, Hengjinda P
Journal of Artificial Intelligence and Capsule Networks.2021; 3(1): 17. CrossRef Risk assessment of COVID-19 based on a new structure of neural fuzzy probabilistic model
Farnaz Sabahi
Transactions of the Institute of Measurement and Control.2021; 43(16): 3531. CrossRef An Efficient Prediction Method for Coronary Heart Disease Risk Based on Two Deep Neural Networks Trained on Well-Ordered Training Datasets
Tsatsral Amarbayasgalan, Van-Huy Pham, Nipon Theera-Umpon, Yongjun Piao, Keun Ho Ryu
IEEE Access.2021; 9: 135210. CrossRef A Systematic Review on Prediction Techniques for Cardiac Disease
Savita Wadhawan, Raman Maini
International Journal of Information Technologies and Systems Approach.2021; 15(1): 1. CrossRef Biomarker for detecting myocardial ischemia using multi class particle swarm optimization
G. Wiselin Jiji
The Imaging Science Journal.2021; 69(5-8): 379. CrossRef Veri Madenciliği İle Kalp Hastalığı Teşhisi
Merve Esra TAŞÇI, Rüya ŞAMLI
European Journal of Science and Technology.2020; : 88. CrossRef Implementing Artificial Intelligence and Digital Health in Resource-Limited Settings? Top 10 Lessons We Learned in Congenital Heart Defects and Cardiology
Nicholas Ekow Thomford, Christian Domilongo Bope, Francis Edem Agamah, Kevin Dzobo, Richmond Owusu Ateko, Emile Chimusa, Gaston Kuzamunu Mazandu, Simon Badibanga Ntumba, Collet Dandara, Ambroise Wonkam
OMICS: A Journal of Integrative Biology.2020; 24(5): 264. CrossRef Predicting congenital heart disease using machine learning techniques
Samta Rani, Sarfaraz Masood
Journal of Discrete Mathematical Sciences and Cryptography.2020; 23(1): 293. CrossRef Pattern of symptom correlation on type of heart disease using approach of pearson correlation coefficient
Tb A Munandar, S Sumiati, V Rosalina
IOP Conference Series: Materials Science and Engineering.2020; 830(2): 022086. CrossRef Efficient heart disease prediction‐based on optimal feature selection using DFCSS and classification by improved Elman‐SFO
Jaishri Wankhede, Magesh Kumar, Palaniappan Sambandam
IET Systems Biology.2020; 14(6): 380. CrossRef Evaluation and Formulation of Assessment Criteria for Dominant Distresses in Preventive Maintenance of Cement Concrete Pavements
Qiqi Chen, Guanhu Wang, Xuelin Huang, Guanpeng Wang, Ke Li, Ramon Sancibrian
Mathematical Problems in Engineering.2020; 2020: 1. CrossRef Big data analytics for preventive medicine
Muhammad Imran Razzak, Muhammad Imran, Guandong Xu
Neural Computing and Applications.2020; 32(9): 4417. CrossRef CET-4 score analysis based on data mining technology
Jie Xu, Yang Liu
Cluster Computing.2019; 22(S2): 3583. CrossRef Application of a fuzzy unit hypercube in cardiovascular risk classification
Geoffrey O. Barini, Livingstone M. Ngoo, Ronald W. Mwangi
Soft Computing.2019; 23(23): 12521. CrossRef Reconstruction error based deep neural networks for coronary heart disease risk prediction
Tsatsral Amarbayasgalan, Kwang Ho Park, Jong Yun Lee, Keun Ho Ryu, Xia Li
PLOS ONE.2019; 14(12): e0225991. CrossRef A Cox-Based Risk Prediction Model for Early Detection of Cardiovascular Disease: Identification of Key Risk Factors for the Development of a 10-Year CVD Risk Prediction
Xiaona Jia, Mirza Mansoor Baig, Farhaan Mirza, Hamid GholamHosseini
Advances in Preventive Medicine.2019; 2019: 1. CrossRef Predicting coronary artery disease: a comparison between two data mining algorithms
Haleh Ayatollahi, Leila Gholamhosseini, Masoud Salehi
BMC Public Health.2019;[Epub] CrossRef Comparing different supervised machine learning algorithms for disease prediction
Shahadat Uddin, Arif Khan, Md Ekramul Hossain, Mohammad Ali Moni
BMC Medical Informatics and Decision Making.2019;[Epub] CrossRef Bimodal fuzzy analytic hierarchy process (BFAHP) for coronary heart disease risk assessment
Farnaz Sabahi
Journal of Biomedical Informatics.2018; 83: 204. CrossRef Deep Feature Learning for Disease Risk Assessment Based on Convolutional Neural Network With Intra-Layer Recurrent Connection by Using Hospital Big Data
Mohd Usama, Belal Ahmad, Jiafu Wan, M. Shamim Hossain, Mohammed F. Alhamid, M. Anwar Hossain
IEEE Access.2018; 6: 67927. CrossRef Early screening of incidence coronary heart disease based on risk factor using fuzzy rule system
Wiharto et al.
International Journal of ADVANCED AND APPLIED SCIENCES.2017; 4(6): 153. CrossRef Intelligence System for Diagnosis Level of Coronary Heart Disease with K-Star Algorithm
Wiharto Wiharto, Hari Kusnanto, Herianto Herianto
Healthcare Informatics Research.2016; 22(1): 30. CrossRef Interpretation of Clinical Data Based on C4.5 Algorithm for the Diagnosis of Coronary Heart Disease
Wiharto Wiharto, Hari Kusnanto, Herianto Herianto
Healthcare Informatics Research.2016; 22(3): 186. CrossRef PREDICTION OF CORONARY ARTERY DISEASE BASED ON ENSEMBLE LEARNING APPROACHES AND CO-EXPRESSED OBSERVATIONS
YING-TSANG LO, HAMIDO FUJITA, TUN-WEN PAI
Journal of Mechanics in Medicine and Biology.2016; 16(01): 1640010. CrossRef
|