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Heart disease identification from patients’ social posts, machine learning solution on Spark

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End-To-End Deep Learning Framework for Coronavirus (COVID-19) Detection and Monitoring

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Strategic Planning Based on Sustainability for Urban Transportation: An Application to Decision-Making

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Computer-Aided Diagnosis System for Early Prediction of Atherosclerosis using Machine Learning and K-fold cross-validation

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Improving the Performance of Dry and Maritime Ports by Increasing Knowledge about the Most Relevant Functionalities of the Terminal Operating System (TOS)

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Design and Development of an Intelligent Clinical Decision Support System Applied to the Evaluation of Breast Cancer Risk

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An Interrelated Decision-Making Model for an Intelligent Decision Support System in Healthcare

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Applied Picture Fuzzy Sets with Knowledge Reasoning and Linguistics in Clinical Decision Support System

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DECISION SUPPORT SYSTEM FOR SMARTPHONE RECOMMENDATION: THE COMPARISON OF FUZZY AHP AND FUZZY ANP IN MULTI-ATTRIBUTE DECISION MAKING

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Automated COVID-19 and Heart Failure Detection Using DNA Pattern Technique with Cough Sounds

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HeartMan DSS: A decision support system for self-management of congestive heart failure

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Chronic obstructive pulmonary disease prediction using Internet of things-spiro system and fuzzy-based quantum neural network classifier

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Patient Behaviour Analysis and Social Health Predictions through IoMT

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A Methodology Based on Expert Systems for the Early Detection and Prevention of Hypoxemic Clinical Cases

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Ranking patients on the kidney transplant waiting list based on fuzzy inference system

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Knowledge-Aided and Data-Driven Fuzzy Decision Making for Sludge Bulking

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Prioritization of Factors Impacting Lecturer Research Productivity Using an Improved Fuzzy Analytic Hierarchy Process Approach

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Stochastic KEMIRA-M Approach with Consistent Weightings

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Application of improved fuzzy best worst analytic hierarchy process on renewable energy

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Application of artificial intelligence based on sensor networks in student mental health support system and crisis prediction

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A Proposal of Expert System Using Deep Learning Neural Networks and Fuzzy Rules for Diagnosing Heart Disease

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A weighted fuzzy process neural network model and its application in mixed-process signal classification

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A weighted fuzzy approach for green marketing risk assessment: Empirical evidence from dairy industry

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Decision Making Methods for Evaluation of Efficiency of General Insurance Companies in Malaysia: A Comparative Study

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An integrated FBWM-FCM-DEMATEL model to assess and manage the sustainability in the supply chain: A three-stage model based on the consumers’ point of view

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Multi-Criteria Analysis of Electric Vehicle Motor Technologies: A Review

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Fuzzy logic based risk assessment system giving individualized advice for metabolic syndrome and fatal cardiovascular diseases

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Decision Tree Extraction for Clinical Decision Support System With If-Else Pseudocode and PlanSelect Strategy

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Hybrid Clustering-Based Fast Support Vector Machine Model for Heart Disease Prediction

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Bulanık AHP-Bulanık ARAS Yöntemlerine Dayalı Dayanıklı Tedarikçi Seçimi

Çalık, A. (2022) · İstanbul Gelişim Üniversitesi Sosyal Bilimler Dergisi · doi:10.17336/igusbd.798775

Fuzzy expert systems for prediction of ICU admission in patients with COVID-19

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Towards precision in IoT-based healthcare systems: a hybrid optimized framework for big data classification

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Fuzzy based system for coronary artery disease prediction using subtractive clustering and risk factors data

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Biomechanics of Parkinson’s Disease with Systems Based on Expert Knowledge and Machine Learning: A Scoping Review

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A Data-Intensive CDSS Platform Based on Knowledge Graph

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Optimizing Machine Learning Algorithms for Heart Disease Classification and Prediction

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A Systematic Review on Prediction Techniques for Cardiac Disease

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Designing a medical rule model system by using rough–grey modeling

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A Fuzzy-Ontology Based Diabetes Monitoring System Using Internet of Things

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Personalized Process and Decision Support in Emergency Care by Mining Electronic Health Records and Sensor Data

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Intelligent Fuzzy System to Predict the Wisconsin Breast Cancer Dataset

Julio, Y. F. H., Pertuz, L. A. D., Prieto‐Guevara, M. J., Barrios, M., & Nieto, W. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20065103 · Cited by 6 · see citing works

Selection of Aggregation Function in Fuzzy Inference System for Metabolic Syndrome

Kusumadewi, S., Rosita, L., & Wahyuni, E. G. (2022) · International Journal on Advanced Science Engineering and Information Technology · doi:10.18517/ijaseit.12.5.15552 · Cited by 6 · see citing works

Medical Diagnosis of Coronary Artery Disease Using Fuzzy Rule-Based Classification Approach

Singh, N., & Singh, P. (2020) · Lecture notes in bioengineering · doi:10.1007/978-981-15-6329-4_27 · Cited by 6 · see citing works

A Novel Hybrid Binary Farmland Fertility Algorithm with Naïve Bayes for Diagnosis of Heart Disease

RADPOUR, V., & Gharehchopogh, F. S. (2022) · Sakarya University Journal of Computer and Information Sciences · doi:10.35377/saucis...978409 · Cited by 6 · see citing works

A Deep Fuzzy Inference System for Interpretable Multi‐Class Heart Disease Risk Prediction

Ramasami, S., & Maheswari, P. U. (2025) · International Journal of Imaging Systems and Technology · doi:10.1002/ima.70264 · Cited by 5 · see citing works

Multicriteria Decision for Selecting Tourist Destinations and Increase Its Competitiveness

Ramos, C. M. Q., Vanti, A. A., & Solana-González, P. (2024) · Tourism · doi:10.37741/t.72.3.6 · Cited by 5 · see citing works

Proposal and Definition of an Intelligent Decision- Support System Based on Deep Learning Techniques for the Management of Possible COVID-19 Cases in Patients Attending Emergency Departments

Corbacho-Abelaira, D., Casal-Guisande, M., Abelaira, F. C., Arnaiz-Fernández, M., López, C. T., Sánchez-Gracián, C. D., Sánchez-Montañés, M. A., Ruano‐Raviña, A., & Fernández‐Villar, A. (2024) · IEEE Access · doi:10.1109/access.2024.3424907 · Cited by 5 · see citing works

Cloud-based Decentralized Smart Healthcare for Patient Monitoring on Deep Learning

Arunachalam, S., Shanthi, H. J., Sivagurunathan, G., Das, S., Anand, D., & Raj, M. T. (2023) · International Conference on Applied Artificial Intelligence and Computing (ICAAIC) · doi:10.1109/icaaic56838.2023.10141120 · Cited by 5 · see citing works

Review of Soft Computing Techniques in Monitoring Cardiovascular Disease in the Context of South Asian Countries

Thakur, G. S., Sahu, S. K., Swamy, N. K., Gupta, M., Jan, T., & Prasad, M. (2023) · Applied Sciences · doi:10.3390/app13179555 · Cited by 5 · see citing works

Innovation System in Air Transport Management

Caetano, M., & Alves, C. J. P. (2019) · Journal of Information Systems and Technology Management · doi:10.4301/s1807-1775201916010 · Cited by 5 · see citing works

Double stage network inference system using k means clustering and fuzzy cognitive maps for cardiovascular disease diagnosis

Mariadoss, S., & Felix, A. (2025) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2025.111540 · Cited by 4 · see citing works

Clinical Decision Support System for Detection of Dengue

Mohapatro, A., Mahendran, S. K., & Das, T. K. (2021) · Journal of Cases on Information Technology · doi:10.4018/jcit.289649 · Cited by 4 · see citing works

A remote health monitoring framework for heart disease and diabetes prediction using advanced artificial intelligence model

Ramesh, A., Subbaraya, C. K., & Krishnegowda, R. G. (2023) · Indonesian Journal of Electrical Engineering and Computer Science · doi:10.11591/ijeecs.v30.i2.pp846-859 · Cited by 4 · see citing works

Implementing Fuzzy Analytical Hierarchy Process (FAHP) To Measure Malicious Behaviour of Codes In Smart Meter

Mahbub, T. N., Hossain, S. S., Akash, R. A., Reza, S. M. S., & Tasnim, Z. (2021) · International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST) · doi:10.1109/icrest51555.2021.9331027 · Cited by 4 · see citing works

Vine copulas and fuzzy inference to evaluate the solvency capital requirement of multivariate dependent risks

Araichi, S., & Almulhim, T. S. (2021) · Applied Economics · doi:10.1080/00036846.2021.1935696 · Cited by 4 · see citing works

Interpretable risk models for Sleep Apnea and Coronary diseases from structured and non-structured data

Silva, C. A., González-Otero, R., Bessani, M., Otero, L., & de Castro, C. L. (2022) · Expert Systems with Applications · doi:10.1016/j.eswa.2022.116955 · Cited by 4 · see citing works

Heart Disease Diagnosis using a Machine Learning Algorithm

Thirumalai, C., & Choudhary, A. (2019) · Innovations in Power and Advanced Computing Technologies (i-PACT) · doi:10.1109/i-pact44901.2019.8959989 · Cited by 4 · see citing works

Classifying Heart Disease in Medical Data Using Deep Learning Methods

Velmurugan, T., & Latha, U. (2021) · Journal of Computer and Communications · doi:10.4236/jcc.2021.91007 · Cited by 3 · see citing works

An Empirical Study of Machine Learning Methods for Analyzing Cardiovascular Disease

Gaba, C., Khattar, S., & Sheenam, S. (2023) · International Conference on Information Management & Machine Intelligence (ICIMMI) · doi:10.1145/3647444.3647834 · Cited by 3 · see citing works

Development of Medical IOT System for the Prediction of Heart Disease

Kumar, V., Saini, D., Rastogi, S., Raman, R., Verma, A., & Meenakshi, R. (2024) · International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) · doi:10.1109/icacite60783.2024.10617362 · Cited by 3 · see citing works

An AI‐Enabled, Patient‐Centred Digital Platform for Integrated Chronic Heart Failure Management: Architecture, Validation and Clinical Insights

Petridis, G., Karampatea, A., Bakogiannis, C., Rigas, E. S., Kondylakis, H., Berler, A., Kangelidis, K., Malamas, N., Kouroubali, A., Katehakis, D. G., et al. (2025) · Healthcare Technology Letters · doi:10.1049/htl2.70015 · Cited by 3 · see citing works

Numerical fact-finding of different functions impact on the fuzzy preference programming optimality

Pandiya, R., Fitriana, G. F., Adhinata, F. D., & Wahyuningrum, T. (2023) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.121291 · Cited by 3 · see citing works

Inverse Trigonometric Fuzzy Preference Programming to Generate Weights with Optimal Solutions Implemented on Evaluation Criteria in E-Learning

Iryanti, E., Santosa, P. I., Kusumawardani, S. S., & Hidayah, I. (2024) · Computers · doi:10.3390/computers13030068 · Cited by 3 · see citing works

Semantic differences and psychological behavior in multi-criteria group decision-making: Do they need consideration?

Wang, Q., Jia, G., Goh, M., Jiao, Z., & Song, W. (2024) · Applied Soft Computing · doi:10.1016/j.asoc.2024.111930 · Cited by 3 · see citing works

Multicriteria analysis of the compliance for the improvement of information security

Solana-González, P., Vanti, A. A., & Fontana, K. H. S. (2019) · Journal of Information Systems and Technology Management · doi:10.4301/s1807-1775201916007 · Cited by 3 · see citing works

Evaluation Model of Cable Insulation Life Based on Improved Fuzzy Analytic Hierarchy Process

Li, L., Ma, X., & Guo, W. (2021) · Mathematical Problems in Engineering · doi:10.1155/2021/6638258 · Cited by 3 · see citing works

Heart disease diagnosis: an efficient decision support system based on fuzzy logic and genetic algorithm

Rajeswari, K., & Vaithiyanathan, V. (2011) · International Journal of Decision Sciences Risk and Management · doi:10.1504/ijdsrm.2011.040749 · Cited by 5 · see citing works

Clinical Decision Support System: Risk Level Prediction Of Heart Disease Using Decision Tree Fuzzy Rules

K, D. A. P. (2015)

Clinical decision support system: risk level prediction of heart disease using weighted fuzzy rules and decision tree rules

Anooj, P. (2011) · Open Computer Science · doi:10.2478/s13537-011-0032-y · Cited by 59 · see citing works

A Fuzzy Expert System for heart disease diagnosis

Adeli, A., & Neshat, M. (2010) · Adelaide Research & Scholarship (AR&S) (University of Adelaide)

Clinical decision support system: Risk level prediction of heart disease using weighted fuzzy rules

Anooj, P. (2011) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2011.09.002 · Cited by 384 · see citing works