The DOI matches its Crossref record; 52 of the 54 references it cites were found in a registry or an index.
Association rule mining to detect factors which contribute to heart disease in males and females
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Citations
Cites
Lecture Notes in Computer Science 1205
(1999) · Industrial Robot the international journal of robotics research and application · doi:10.1108/ir.1999.04926fae.001 · Cited by 39,228
Mining association rules between sets of items in large databases
Agrawal, R., Imieliński, T., & Swami, A. (1993) · Proceedings of the 1993 ACM SIGMOD international conference on Management of data · doi:10.1145/170035.170072 · Cited by 14,907
Fast algorithms for mining association rules
Agrawal, R., & Srikant, R. (1998) · Cited by 11,362
Fast Algorithms for Mining Association Rules in Large Databases
Agrawal, R., & Srikant, R. (1994) · Very Large Data Bases · Cited by 9,454
The American Heritage Dictionary of the English Language
Rinehart, E. C., & Morris, W. (1970) · The Journal of Higher Education · doi:10.1080/00221546.1970.11773921 · Cited by 2,471
Knowledge-Based Intelligent Information and Engineering Systems
高下, 大., タカシタ, タ., Takashita, T., Jain, L. C., イトカワ, ツ., Itokawa, T., 北須賀, 輝., キタスカ, テ., Kitasuka, T., 有次, 正., et al. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-85565-1 · Cited by 1,699
Human Physiology : From Cells to Systems
Sherwood, L. (1989) · Cited by 956
Predicting the 30-Year Risk of Cardiovascular Disease
Pencina, M. J., D’Agostino, R. B., Larson, M. G., Massaro, J. M., & Vasan, R. S. (2009) · Circulation · doi:10.1161/circulationaha.108.816694 · Cited by 885
Intelligent heart disease prediction system using data mining techniques
Palaniappan, S., & Awang, R. (2008) · IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) · doi:10.1109/aiccsa.2008.4493524 · Cited by 825
Detrano, R., Janosi, A., Steinbrunn, W., Pfisterer, M. E., Schmid, J.-J., Sandhu, S. S., Guppy, K. H., Lee, S. J., & Froelicher, V. F. (1989) · The American Journal of Cardiology · doi:10.1016/0002-9149(89)90524-9 · Cited by 758
Research works printed but not linked: 2
- Edmonds, B. H. (2005). Using localised ‘Gossip’ to structure distributed learning, centre for policy modelling. In Proceedings of the joint symposium on socially inspired computing engineering with social metaphors (AISB), University of Hertfordshire, Hatfield, UK, (pp. 127–134).
- Society, M. M. (1945). The New England journal of medicine. Massachusetts Medical Society, New England Surgical Society, vol. 232. HighWire Press new.
Cited by
Sorted by citations
Effective Heart Disease Prediction Using Hybrid Machine Learning Techniques
Mohan, S., Thirumalai, C., & Srivastava, G. (2019) · IEEE Access · doi:10.1109/access.2019.2923707 · Cited by 1,951
“CNN is able to generate features with various positions in the testing phase of the patient [22], [41].”
BackgroundA survey on Data Mining approaches for Healthcare
Tomar, D., & Agarwal, S. (2013) · International Journal of Bio-Science and Bio-Technology · doi:10.14257/ijbsbt.2013.5.5.25 · Cited by 502
Big data analytics for preventive medicine
Razzak, I., Imran, M. A., & Xu, G. (2019) · Neural Computing and Applications · doi:10.1007/s00521-019-04095-y · Cited by 362
Machine learning-based coronary artery disease diagnosis: A comprehensive review
Alizadehsani, R., Abdar, M., Roshanzamir, M., Khosravi, A., Kebria, P. M., Khozeimeh, F., Nahavandi, S., Sarrafzadegan, N., & Acharya, U. R. (2019) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2019.103346 · Cited by 289
Knowledge discovery in medicine: Current issue and future trend
Esfandiari, N., Babavalian, M. R., Moghadam, A. M. E., & Tabar, V. K. (2014) · Expert Systems with Applications · doi:10.1016/j.eswa.2014.01.011 · Cited by 234
Gokulnath, C. B., & Shantharajah, S. P. (2018) · Cluster Computing · doi:10.1007/s10586-018-2416-4 · Cited by 234
Improving Heart Disease Prediction Using Feature Selection Approaches
Bashir, S., Khan, Z., Khan, F. H., Anjum, A., & Bashir, K. (2019) · International Bhurban Conference on Applied Sciences and Technology (IBCAST) · doi:10.1109/ibcast.2019.8667106 · Cited by 214
Diagnosis of heart disease using genetic algorithm based trained recurrent fuzzy neural networks
Uyar, K., & İlhan, A. (2017) · Procedia Computer Science · doi:10.1016/j.procs.2017.11.283 · Cited by 208
An analytical method for diseases prediction using machine learning techniques
Nilashi, M., Ibrahim, O. B., Ahmadi, H., & Shahmoradi, L. (2017) · Computers & Chemical Engineering · doi:10.1016/j.compchemeng.2017.06.011 · Cited by 190
Improving the Accuracy for Analyzing Heart Diseases Prediction Based on the Ensemble Method
Gao, X., Ali, A. A., Hassan, H. S., & Anwar, E. M. (2021) · Complexity · doi:10.1155/2021/6663455 · Cited by 161
Performance analysis of classification algorithms on early detection of liver disease
Abdar, M., Moghadam, M. Z., Daş, R., & Ting, I. (2016) · Expert Systems with Applications · doi:10.1016/j.eswa.2016.08.065 · Cited by 157
Tayefi, M., Tajfard, M., Soflaei, S. S., Hanachi, P., Amirabadizadeh, A., Esmaily, H., Taghipour, A., Ferns, G. A., Moohebati, M., & Ghayour‐Mobarhan, M. (2017) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2017.02.001 · Cited by 144
Vijayashree, J., & Sultana, H. P. (2018) · Programming and Computer Software · doi:10.1134/s0361768818060129 · Cited by 130
Generating knowledge in maintenance from Experience Feedback
Ruiz, P. A. P., Kamsu-Foguem, B., & Grabot, B. (2014) · Knowledge-Based Systems · doi:10.1016/j.knosys.2014.02.002 · Cited by 118
Discovering symptom patterns of COVID-19 patients using association rule mining
Tandan, M., Acharya, Y., Pokharel, S., & Timilsina, M. (2021) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2021.104249 · Cited by 121
Breast Cancer Statistics and Prediction Methodology: A Systematic Review and Analysis
Dubey, A. K., Gupta, U. C., & Jain, S. A. (2015) · Asian Pacific Journal of Cancer Prevention · doi:10.7314/apjcp.2015.16.10.4237 · Cited by 116
Comparing Performance of Data Mining Algorithms in Prediction Heart Diseases
Abdar, M., Kalhori, S. R. N., Sutikno, T., Subroto, I. M. I., & Arji, G. (2015) · International Journal of Electrical and Computer Engineering (IJECE) · doi:10.11591/ijece.v5i6.pp1569-1576 · Cited by 111
Cerezo, R., Esteban, M., Sánchez‐Santillán, M., & Núñez, J. C. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.01403 · Cited by 125
Using PSO Algorithm for Producing Best Rules in Diagnosis of Heart Disease
Alkeshuosh, A. H., Moghadam, M. Z., Mansoori, I. A., & Abdar, M. (2017) · International Conference on Computer and Applications (ICCA) · doi:10.1109/comapp.2017.8079784 · Cited by 107
Özaydın, E., Fışkın, R., Uğurlu, Ö., & Wang, J. (2022) · Ocean Engineering · doi:10.1016/j.oceaneng.2022.110705 · Cited by 105
Abdar, M., Acharya, U. R., Sarrafzadegan, N., & Makarenkov, V. (2019) · IEEE Access · doi:10.1109/access.2019.2953920 · Cited by 103
Desai, F., Chowdhury, D., Kaur, R., Peeters, M., Arya, R. C., Wander, G. S., Gill, S. S., & Buyya, R. (2022) · Internet of Things · doi:10.1016/j.iot.2021.100485 · Cited by 97
Nilashi, M., Ahmadi, H., Manaf, A. A., Rashid, T. A., Samad, S., Shahmoradi, L., Aljojo, N., & Akbari, E. (2020) · International Journal of Fuzzy Systems · doi:10.1007/s40815-020-00828-7 · Cited by 98
Techniques of Data Mining In Healthcare: A Review
Ahmad, P., Qamar, S., & Rizvi, S. Q. A. (2015) · International Journal of Computer Applications · doi:10.5120/21307-4126 · Cited by 93
Identification of causal factors for the Majiagou landslide using modern data mining methods
Ma, J., Tang, H., Hu, X., Bobet, A., Zhang, M., Zhu, T., Song, Y., & Eldin, M. A. M. E. (2016) · Landslides · doi:10.1007/s10346-016-0693-7 · Cited by 90
Investigation of tugboat accidents severity: An application of association rule mining algorithms
Çakır, E., Fışkın, R., & Sevgili, C. (2021) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2021.107470 · Cited by 152
The role of digital technologies in production systems for achieving sustainable development goals
Varriale, V., Cammarano, A., Michelino, F., & Caputo, M. (2024) · Sustainable Production and Consumption · doi:10.1016/j.spc.2024.03.035 · Cited by 96
Revolutionizing heart disease prediction with quantum-enhanced machine learning
Babu, S. V., Ramya, P. N., & Jeffin Gracewell, J. (2024) · Scientific Reports · doi:10.1038/s41598-024-55991-w · Cited by 87
Fusion-Based Machine Learning Architecture for Heart Disease Prediction
Nadeem, M. W., Goh, H. G., Khan, M. A., Hussain, M., Mushtaq, M. F., & Ponnusamy, V. (2021) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2021.014649 · Cited by 87
Identifying risk factors for adverse diseases using dynamic rare association rule mining
Borah, A., & Nath, B. (2018) · Expert Systems with Applications · doi:10.1016/j.eswa.2018.07.010 · Cited by 84
A novel approach for heart disease prediction using strength scores with significant predictors
Yazdani, A., Varathan, K. D., Chiam, Y. K., Malik, A. W., & Ahmad, W. A. W. (2021) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-021-01527-5 · Cited by 82
Ramesh, B., & Lakshmanna, K. (2024) · IEEE Access · doi:10.1109/access.2024.3366537 · Cited by 88
Review on Heart Disease Prediction System using Data Mining Techniques
Kaur, B., & Singh, W. (2014) · Cited by 79
Machine learning-based identification of patients with a cardiovascular defect
Louridi, N., Douzi, S., & Ouahidi, B. E. (2021) · Journal Of Big Data · doi:10.1186/s40537-021-00524-9 · Cited by 81
Heartfield, R., Loukas, G., & Gan, D. (2016) · IEEE Access · doi:10.1109/access.2016.2616285 · Cited by 77
A survey on applying machine learning techniques for management of diseases
Houby, E. M. F. E. (2018) · Journal of Applied Biomedicine · doi:10.1016/j.jab.2018.01.002 · Cited by 76
Alam, T. M., Shaukat, K., Hameed, I. A., Khan, W. A., Sarwar, M. U., Iqbal, F., & Luo, S. (2021) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2021.102726 · Cited by 72
Javeed, A., Khan, S. U., Ali, L., Ali, S. M., Imrana, Y., & Rahman, A. (2022) · Computational and Mathematical Methods in Medicine · doi:10.1155/2022/9288452 · Cited by 78
RetractedKnowledge discovery in cardiology: A systematic literature review
Kadi, I., Idri, A., & Fernández‐Alemán, J. L. (2016) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2016.09.005 · Cited by 67
Role of Soft Computing Approaches in HealthCare Domain: A Mini Review
Gambhir, S., Malik, S. K., & Kumar, Y. (2016) · Journal of Medical Systems · doi:10.1007/s10916-016-0651-x · Cited by 68
Utility-based association rule mining: A marketing solution for cross-selling
Lee, D., Park, S.-H., & Moon, S. (2012) · Expert Systems with Applications · doi:10.1016/j.eswa.2012.11.021 · Cited by 66
Medical Data Mining for Heart Diseases and the Future of Sequential Mining in Medical Field
Rjeily, C. B., Badr, G., Hassani, A. H. E., & Andrès, E. (2018) · Intelligent systems reference library · doi:10.1007/978-3-319-94030-4_4 · Cited by 65
Detection of Schistosomiasis Factors Using Association Rule Mining
Ali, Y. S., Farooq, A., Alam, T. M., Farooq, M. S., Awan, M. J., & Baig, T. I. (2019) · IEEE Access · doi:10.1109/access.2019.2956020 · Cited by 57
Feature Selection by mRMR Method for Heart Disease Diagnosis
Wang, G., Lauri, F., & Hassani, A. H. E. (2022) · IEEE Access · doi:10.1109/access.2022.3207492 · Cited by 56
Cammarano, A., Varriale, V., Michelino, F., & Caputo, M. (2023) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2023.3240213 · Cited by 54
Kolukısa, B., Hacılar, H., Göy, G., Kuş, M., Bakır-Güngör, B., Aral, A., & Güngör, V. Ç. (2018) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata.2018.8622609 · Cited by 52
Alam, T. M., Shaukat, K., Mahboob, H., Sarwar, M. U., Iqbal, F., Nasir, A., Hameed, I. A., & Luo, S. (2021) · The Computer Journal · doi:10.1093/comjnl/bxab015 · Cited by 54
Fuzzy Soft Expert System in Prediction of Coronary Artery Disease
Hassan, N., Sayed, O. R., Khalil, A. M., & Abdel‐Ghany, M. (2016) · International Journal of Fuzzy Systems · doi:10.1007/s40815-016-0255-0 · Cited by 49
Determination of Association Rules with Market Basket Analysis: Application in the Retail Sector
Sagin, A. N., & Ayvaz, B. (2018) · Southeast Europe Journal of Soft Computing · doi:10.21533/scjournal.v7i1.149 · Cited by 46
Hasan, U., Whyte, A., & Jassmi, H. A. (2018) · Buildings · doi:10.3390/buildings9010001 · Cited by 45
Machine learning applications in healthcare sector: An overview
Verma, V. K., & Verma, S. A. (2021) · Materials Today Proceedings · doi:10.1016/j.matpr.2021.12.101 · Cited by 43
Han, S., Mo, G., Gao, T., Sun, Q. H., Liu, H., & Zhang, M. (2022) · BMC Public Health · doi:10.1186/s12889-022-13506-0 · Cited by 42
Mining association rule based on the diseases population for recommendation of medicine need
Harahap, M., Husein, A. M., Aisyah, S., Lubis, F. R. A., & Wijaya, B. A. (2018) · Journal of Physics Conference Series · doi:10.1088/1742-6596/1007/1/012017 · Cited by 42
Ramezankhani, A., Pournik, O., Shahrabi, J., Azizi, F., & Hadaegh, F. (2015) · Intern J Endocrinol Metab · doi:10.5812/ijem.25389 · Cited by 41
Multilayer perceptron based deep neural network for early detection of coronary heart disease
Masih, N., Naz, H. U., & Ahuja, S. (2020) · Health and Technology · doi:10.1007/s12553-020-00509-3 · Cited by 47
Using Decision Trees in Data Mining for Predicting Factors Influencing of Heart Disease
Abdar, M. (2015) · Carpathian Journal of Electronic and Computer Engineering · Cited by 41
Nafouanti, M. B., Li, J., Nyakilla, E. E., Mwakipunda, G. C., & Mulashani, A. K. (2023) · Environmental Science and Pollution Research · doi:10.1007/s11356-023-25886-w · Cited by 39
Piran, N., Farhadian, M., Soltanian, A. R., & Borzouei, S. (2024) · Scientific Reports · doi:10.1038/s41598-023-47576-w · Cited by 41
McRae, M. P., Bozkurt, B., Ballantyne, C. M., Sanchez, X., Christodoulides, N. J., Simmons, G. W., Nambi, V., Misra, A., Miller, C. S., Ebersole, J. L., et al. (2016) · Expert Systems with Applications · doi:10.1016/j.eswa.2016.01.029 · Cited by 38
An intelligent noninvasive model for coronary artery disease detection
Verma, L., Srivastava, S., & Negi, P. C. (2017) · Complex & Intelligent Systems · doi:10.1007/s40747-017-0048-6 · Cited by 38
Discovering dynamic adverse behavior of policyholders in the life insurance industry
Islam, M. R., Liu, S., Biddle, R., Razzak, I., Wang, X., Tilocca, P., & Xu, G. (2020) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.120486 · Cited by 39
Risk assessment of inland waterborne transportation using data mining
Wang, Z., & Yin, J. (2020) · Maritime Policy & Management · doi:10.1080/03088839.2020.1738582 · Cited by 37
A new approach to segmenting multichannel shoppers in Korea and the U.S.
Park, J., & Kim, R. B. (2018) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2018.09.007 · Cited by 41
Real-time monitoring system for early prediction of heart disease using Internet of Things
Basheer, S., Alluhaidan, A. S., & Bivi, M. A. (2021) · Soft Computing · doi:10.1007/s00500-021-05865-4 · Cited by 36
Sarıyer, G., & Taşar, C. Ö. (2019) · Health Informatics Journal · doi:10.1177/1460458219871135 · Cited by 35
Diagnosis of Cardiovascular Diseases with Bayesian Classifiers
Fakhr, M. A., & Elsayad, A. M. (2015) · Journal of Computer Science · doi:10.3844/jcssp.2015.274.282 · Cited by 34
Mining frequent patterns and association rules using similarities
Rodríguez‐González, A. Y., Martínez-Trinidad, J. F., Carrasco-Ochoa, J. A., & Ruíz-Shulcloper, J. (2013) · Expert Systems with Applications · doi:10.1016/j.eswa.2013.06.041 · Cited by 32
Predicting Heart Disease Based on Influential Features with Machine Learning
Dubey, A. K., Choudhary, K., & Sharma, R. (2021) · Intelligent Automation & Soft Computing · doi:10.32604/iasc.2021.018382 · Cited by 35
Li, W., Zuo, M., Zhao, H., Xu, Q., & Chen, D. (2021) · Methods · doi:10.1016/j.ymeth.2021.12.009 · Cited by 32
Discovering association rules from big graphs
Fan, W., Fu, W., Jin, R., Lü, P., & Tian, C. (2022) · Proceedings of the VLDB Endowment · doi:10.14778/3523210.3523224 · Cited by 33
Efficient mining of class association rules with the itemset constraint
Nguyen, D., Nguyen, L. T. T., Vo, B., & Pedrycz, W. (2016) · Knowledge-Based Systems · doi:10.1016/j.knosys.2016.03.025 · Cited by 31
Applications of machine learning in animal and veterinary public health surveillance
Guitián, J., Snary, E., ARNOLD, M., & Chang, Y. (2023) · Scientific and Technical Review (World Organisation for Animal Health) · doi:10.20506/rst.42.3366 · Cited by 36
Abubacker, N. F., Azman, A., Doraisamy, S. C., & Murad, M. A. A. (2016) · Neural Computing and Applications · doi:10.1007/s00521-016-2290-z · Cited by 30
A survey on data mining techniques used in medicine
Birjandi, S. M., & Khasteh, S. H. (2021) · Journal of Diabetes & Metabolic Disorders · doi:10.1007/s40200-021-00884-2 · Cited by 32
Supervised Machine Learning-Based Cardiovascular Disease Analysis and Prediction
Hossen, M. D. A., Tazin, T., Khan, S., Alam, E., Sojib, H. A., Khan, M. M., & Alsufyani, A. (2021) · Mathematical Problems in Engineering · doi:10.1155/2021/1792201 · Cited by 36
A Hybrid Framework for Heart Disease Prediction Using Machine Learning Algorithms
Chandrika, L., & Madhavi, K. (2021) · E3S Web of Conferences · doi:10.1051/e3sconf/202130901043 · Cited by 28
Rabbi, M. S. H., Bari, M. M., Debnath, T., Rahman, A., Das, A. K., Hossain, M. P., & Muhammad, G. (2024) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2024.107138 · Cited by 28
An Improved Auto Categorical PSO with ML for Heart Disease Prediction
Dubey, A. K., Sinhal, A. K., & Sharma, R. (2022) · Engineering Technology & Applied Science Research · doi:10.48084/etasr.4854 · Cited by 28
Peng, S., Shen, F., Wen, A., Wang, L., Fan, Y., Liu, X., & Liu, H. (2019) · Journal of Medical Internet Research · doi:10.2196/14204 · Cited by 27
Feng, J. Y., Mu, X., Ma, L., & Wang, W. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17239119 · Cited by 27
Artificial Intelligence–Enabled Evaluation of Pain Sketches to Predict Outcomes in Headache Surgery
Chartier, C., Gfrerer, L., Knoedler, L., & Austen, W. G. (2022) · Plastic & Reconstructive Surgery · doi:10.1097/prs.0000000000009855 · Cited by 27
A Weighted Average Ensemble Technique to Predict Heart Disease
Neloy, M. A. I., Nahar, N., Hossain, M. S., & Andersson, K. (2022) · Lecture notes in networks and systems · doi:10.1007/978-981-16-7597-3_2 · Cited by 26
Summarization and sentiment analysis from user health posts
Mane, V. L., Panicker, S., & Patil, V. B. (2015) · doi:10.1109/pervasive.2015.7087087 · Cited by 25
A Survey on Breast Cancer Scenario and Prediction Strategy
Dubey, A. K., Gupta, U. C., & Jain, S. A. (2014) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-11933-5_40 · Cited by 25
Artificial Intelligence and Data Mining Methods for Cardiovascular Risk Prediction
Georga, E. I., Tachos, N. S., Sakellarios, A. I., Kigka, V. I., Exarchos, T. P., Pelosi, G., Parodi, O., Michalis, L. K., & Fotiadis, D. I. (2019) · Series in bioengineering · doi:10.1007/978-981-10-5092-3_14 · Cited by 25
Mental disorders and medical comorbidities: Association rule mining approach
Wang, C., Lee, T.-Y., Hui, K.-C., & Chung, M. (2019) · Perspectives In Psychiatric Care · doi:10.1111/ppc.12362 · Cited by 27
Muhammad, L. J., Garba, E. J., Oye, N. D., & Wajiga, G. M. (2018) · International Journal of u- and e- Service Science and Technology · doi:10.14257/ijunesst.2018.11.3.05 · Cited by 24
Ghasemi, F., Neysiani, B. S., & Nematbakhsh, N. (2020) · International Conference on Web Research (ICWR) · doi:10.1109/icwr49608.2020.9122285 · Cited by 24
Mudumba, B., & Kabir, M. F. (2024) · Decision Analytics Journal · doi:10.1016/j.dajour.2024.100434 · Cited by 24
Lu, Y., Tung, F.-Y., & Wang, C. (2020) · Journal of Loss Prevention in the Process Industries · doi:10.1016/j.jlp.2020.104382 · Cited by 23
Heart Disorders Forecasting with Feature Engineering using Non-Parametric Classifier
Bhatt, T., Tripathi, V., Mishra, S., Alkhayyat, A. H., & Mishra, N. (2024) · International Conference on Intelligent Computing and Emerging Communication Technologies (ICEC) · doi:10.1109/icec59683.2024.10837504 · Cited by 22
Discovering diverse association rules from multidimensional schema
Usman, M., Pears, R., & Fong, A. C. M. (2013) · Expert Systems with Applications · doi:10.1016/j.eswa.2013.05.031 · Cited by 23
What are the occupational hazards of construction project managers: A data mining analysis in China
Li, X., Fei, Y., Rizzuto, T. E., & Yang, F. (2020) · Safety Science · doi:10.1016/j.ssci.2020.105088 · Cited by 26
Kanwal, S., Rashid, J., Nisar, M. W., Kim, J., & Hussain, A. (2021) · Mohammad Ali Jinnah University International Conference on Computing (MAJICC) · doi:10.1109/majicc53071.2021.9526242 · Cited by 22
Moturi, S., Vemuru, S., & Rao, S. N. T. (2022) · Biomedical Engineering Applications Basis and Communications · doi:10.4015/s1016237222500107 · Cited by 22
Sun, H., & Pan, J. (2023) · Journal of Data Analysis and Information Processing · doi:10.4236/jdaip.2023.111001 · Cited by 22
A Parallel MapReduce Algorithm to Efficiently Support Itemset Mining on High Dimensional Data
Apiletti, D., Baralis, E., Cerquitelli, T., Garza, P., Pulvirenti, F., & Pietro Michiardi, A. (2017) · Big Data Research · doi:10.1016/j.bdr.2017.10.004 · Cited by 22
Yavari, A., Rajabzadeh, A., & Abdali-Mohammadi, F. (2021) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2021.103695 · Cited by 22
Prediction of Diabetes Using Internet of Things (IoT) and Decision Trees: SLDPS
Allugunti, V. R., Reddy, C. K. K., Elango, N. M., & Anisha, P. R. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-981-15-5679-1_43 · Cited by 21
Khakpouri, S., Safari, M., Ghazizadeh, H., Parizadeh, S. M. R., Nematy, M., Tayefi, M., Ferns, G. A., Saberi‐Karimian, M., & Ghayour‐Mobarhan, M. (2019) · Translational Metabolic Syndrome Research · doi:10.1016/j.tmsr.2019.05.001 · Cited by 22
Metadata
- Authors
- Nahar, J., Imam, T., Tickle, K. S., & Chen, Y.-P. P.
- Affiliations
- Central Queensland University (AU)
- La Trobe University (AU)
- Corresponding author
- Nahar, Jesmin
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2013-03
- Volume
- 40
- Issue
- 4
- Pages
- 1086-1093
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W2080084655
- Cited by
- 394
- References
- 54
- Citations by year
- 2026: 11 · 2025: 20 · 2024: 31 · 2023: 27 · 2022: 43 · 2021: 50 · 2020: 39 · 2019: 42 · 2018: 39 · 2017: 26 · 2016: 26 · 2015: 18 · 2014: 14 · 2013: 7
- FWCI
- 20.79
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Expert Systems with Applications (publishedVersion)
- Topics
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Physical Sciences › Computer Science › Information Systems › Data Mining Algorithms and Applications
- Physical Sciences › Computer Science › Information Systems › Data Mining and Machine Learning Applications
- Keywords
- heart disease, coronary artery disease, association rule mining, gender differences, risk factors, Cleveland heart disease dataset, Apriori algorithm, chest pain, exercise-induced angina, resting ECG, heart disease prediction
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review