Association rule mining to detect factors which contribute to heart disease in males and females

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

International application of a new probability algorithm for the diagnosis of coronary artery disease

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

Identification of Heart Disease Using Machine Learning Approach

Anbukkarasi, S., Varadhaganapathy, S., Indhiraprakash, P., Jeevanantham, V., & Kumar, G. K. (2021) · International Conference on Electronics, Communication and Aerospace Technology (ICECA) · doi:10.1109/iceca52323.2021.9675865 · Cited by 5

Internet of things based Early Detection of Diabetes using Machine Learning Algorithms: Dpa

(2019) · International Journal of Innovative Technology and Exploring Engineering · doi:10.35940/ijitee.j1013.0881019 · Cited by 5

HARPP: HARnessing the Power of Power sets for Mining Frequent Itemsets

Yasir, M., Habib, M. A., Sarwar, S., Faisal, C. M. N., Ahmad, M., & Jabbar, S. (2019) · Information Technology And Control · doi:10.5755/j01.itc.48.3.21137 · Cited by 5

The likelihood of requiring a diagnostic test: Classifying emergency department patients with logistic regression

Sarıyer, G., & Ataman, M. G. (2020) · Health Information Management Journal · doi:10.1177/1833358320908975 · Cited by 5

Coronary Heart Disease Prediction Based on Combined Reinforcement Multitask Progressive Networks

Li, W., Chen, D., & Le, J. (2020) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm49941.2020.9313275 · Cited by 5

Data Mining, Soft Computing, Machine Learning and BioInspired Computing for Heart Disease Classification/ Prediction – A Review

Rathi, M., & Narasimhan, B. (2017) · International Journal of Advanced Research in Computer Science and Software Engineering · doi:10.23956/ijarcsse/v7i4/0156 · Cited by 5

Digging deep into weighted patient data through multiple-level patterns

Baralis, E., Cagliero, L., Cerquitelli, T., Chiusano, S., & Garza, P. (2015) · Information Sciences · doi:10.1016/j.ins.2015.06.006 · Cited by 5

Social IoT Healthcare

Zamanifar, A. (2019) · Studies in computational intelligence · doi:10.1007/978-3-030-24513-9_1 · Cited by 4

Heart Disease Prediction Using Decision Tree in Comparison with k-Nearest Neighbor to Improve Accuracy

Pratyusha, M., & Kanimozhi, K. V. (2022) · Advances in parallel computing · doi:10.3233/apc220031 · Cited by 4

An Automatic Detection of Heart Block from ECG Images Using YOLOv4

Das, S., Hasan, O., Chowdhury, A., Aslam, S. M., & Hossain, S. M. M. (2023) · Lecture notes in networks and systems · doi:10.1007/978-3-031-27409-1_90 · Cited by 4

Heart Disease Prediction using Machine Learning

Raj, A., Kumar, S., Kumar, A., & Budhiraja, S. (2023) · doi:10.1109/icsc60394.2023.10441292 · Cited by 5

Performance of a Distributed Apriori Algorithm Using the Serverless Functions of the Apollo Framework

Shahin, M., Shah, S. A., Sharma, R., Ghasempouri, T., Aznar-Poveda, J., Fahringer, T., & Draheim, D. (2024) · Lecture notes in networks and systems · doi:10.1007/978-3-031-70595-3_37 · Cited by 4

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Sreekumari, S., Bhalla, R., & Singh, G. (2025) · Procedia Computer Science · doi:10.1016/j.procs.2025.04.083 · Cited by 4

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Makwana, A., & Patel, J. (2015) · International Journal of Computer Applications · doi:10.5120/20683-3496 · Cited by 4

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Lee, Y.-C., Huang, C., Lin, Y.-C., & Wu, H. (2017) · TEM Journal · doi:10.18421/tem63-10 · Cited by 4

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Shrivastava, K., & Jotwani, V. (2020) · International Journal of Scientific Research in Computer Science Engineering and Information Technology · doi:10.32628/cseit2063111 · Cited by 4

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Ramesh Dhanaseelan, F., & Sutha, M. J. (2020) · International Journal of Information Retrieval Research · doi:10.4018/ijirr.2021010102 · Cited by 4

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Orooji, A., Sahranavard, T., Shakeri, M. T., Tajfard, M., & Saffari, S. E. (2022) · Computational and Mathematical Methods in Medicine · doi:10.1155/2022/5353539 · Cited by 4

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Vora, D. R., Mishra, S., Mukherjee, A., Tiwari, S., Thakur, S., & Biswas, S. (2022) · IEEE Pune Section International Conference (PuneCon) · doi:10.1109/punecon55413.2022.10014832 · Cited by 4

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Chalapathi, M. M. V., Dudekula, K. V., Kumar, Y. V. P., Reddy, C. P., & Kasaraneni, P. P. (2024) · Scalable Computing Practice and Experience · doi:10.12694/scpe.v25i1.2326 · Cited by 4

Extraction frequent patterns in trauma dataset based on automatic generation of minimum support and feature weighting

Kohzadi, Z., Nickfarjam, A. M., Arani, L. S., Kohzadi, Z., & Mahdian, M. (2024) · BMC Medical Research Methodology · doi:10.1186/s12874-024-02154-0 · Cited by 4

OOIMASP: Origin based association rule mining with order independent mostly associated sequential patterns

Yadav, D., & Chowdary, C. R. (2017) · Expert Systems with Applications · doi:10.1016/j.eswa.2017.10.015 · Cited by 4

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Hasanpour, H., Meibodi, R. G., Navi, K., Shams, J., Asadi, S., & Ahmadiani, A. (2019) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s200569 · Cited by 4

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Suganthi, S., & Sivakumar, D. (2018) · Conference on Emerging Devices and Smart Systems (ICEDSS) · doi:10.1109/icedss.2018.8544286 · Cited by 4

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

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Belabed, I., Alaoui, M. T., Jaara, E. M., & Belabed, A. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-45778-5_30 · Cited by 4

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Alam, T. M. (2019) · Preprints.org · doi:10.20944/preprints201911.0117.v1 · Cited by 4

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Baťa, R., Ghanem, A. S., Faludi, E. V., Sztanek, F., & Nagy, A. C. (2025) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-025-03206-1 · Cited by 3

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Rathnakumari, L., & Rao, G. R. K. (2025) · SN Computer Science · doi:10.1007/s42979-025-04601-1 · Cited by 3

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Yen, S., Wang, X., Wang, I., Corkery, M. B., Chui, K. K., & Chou, C.-A. (2021) · American Journal of Physical Medicine & Rehabilitation · doi:10.1097/phm.0000000000001912 · Cited by 3

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Cambria, F., Invernici, F., Bernasconi, A., & Ceri, S. (2025) · The VLDB Journal · doi:10.1007/s00778-025-00934-8 · Cited by 3

PENGARUH MOTIVASI, KEPUASAN KERJA DAN KEDISIPLINAN TERHADAP TURN OVER KARYAWAN: PENDEKATAN KONSEP

Hutomo, Y. I. S., & Nawangsari, L. C. (2020) · Jurnal Manajemen dan Bisnis Equilibrium · doi:10.47329/jurnal_mbe.v6i1.409 · Cited by 3

A Study on the Use of Data Mining in the Planning of Investment Field

İNCE, A. R., & Alan, M. A. (2022) · Ekonomi Politika ve Finans Arastirmalari Dergisi · doi:10.30784/epfad.1003459 · Cited by 3

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Barry, K. A., Manzali, Y., Labaybi, O., Rachid, F., & Elfar, M. (2023) · IEEE Congress on Information Science and Technology (CiSt) · doi:10.1109/cist56084.2023.10410012 · Cited by 3

Survey on association rule analysis: Exploration using mining analysis

Gangaramani, D., & Londhe, R. R. (2024) · International Journal of Hybrid Intelligent Systems · doi:10.3233/his-240015 · Cited by 3

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Dekamin, A., & Shaibatalhamdi, A. (2017) · DOAJ (DOAJ: Directory of Open Access Journals) · Cited by 3

Production decision of agricultural products: A game model based on negative exponential utility function

Chen, G. (2019) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-179198 · Cited by 3

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Devi, N. Y. (2021) · Concurrency and Computation Practice and Experience · doi:10.1002/cpe.6470 · Cited by 3

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Wang, G., Lauri, F., & Hassani, A. H. E. (2021) · International Conference on Information, Intelligence, Systems & Applications (IISA) · doi:10.1109/iisa52424.2021.9555550 · Cited by 3

A hybrid framework for heart disease prediction: review and analysis

Shrivastava, A., & Tomar, S. S. (2016) · International Journal of Advanced Technology and Engineering Exploration · doi:10.19101/ijatee.2016.315003 · Cited by 3

Sets of Contrasting Rules: A Supervised Descriptive Rule Induction Pattern for Identification of Trigger Factors

Aleksandrova, M., Brun, A., Chertov, О., & Boyer, A. E. (2016) · IEEE International Conference on Tools with Artificial Intelligence (ICTAI) · doi:10.1109/ictai.2016.0072 · Cited by 3

Mining Information Search Pattern on Website: A Case Study of Educational Institution

Azitha, R., Surjandari, I., & Laoh, E. (2018) · International Conference on Information Science and Control Engineering · doi:10.1109/icisce.2018.00075 · Cited by 3

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Dave, A., & Pandi, G. (2018) · Journal of Emerging Technologies and Innovative Research · Cited by 3

Diagnosis of Cardiovascular Diseases using Artificial Intelligence Techniques: A Review

Tasneem, T., Kabir, M. M. J., Xu, S., & Tasneem, T. (2021) · International Journal of Computer Applications · doi:10.5120/ijca2021921313 · Cited by 3

Classification of Cardiovascular Artery Diseases Using Artificial Neural Network

Hacılar, H., Görmez, Y., Bakır-Güngör, B., Gezer, C., Aydın, Z., & Güngör, V. Ç. (2019) · International Journal of Bioscience Biochemistry and Bioinformatics · doi:10.17706/ijbbb.2020.10.1.34-41 · Cited by 3

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Sireesha, V., Hegde, N. P., Nanditha, P., & Naresh, B. (2022) · Smart innovation, systems and technologies · doi:10.1007/978-981-16-9705-0_18 · Cited by 3

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Sun, C., Zhou, Z., Zhang, Y., Jia, Z., Huang, J., & Huang, C. (2022) · Frontiers in Energy Research · doi:10.3389/fenrg.2022.879869 · Cited by 3

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Yasir, M., Haidar, A., Chaudhry, M. U., Habib, M. A., Hussain, A., Jasińska, E., Leonowicz, Z. M., & Jasiński, M. (2022) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2022.105480 · Cited by 3

Design and Deployment of ML Model for Cardiac Disease Prediction-A review

Qadeer, S. A., Abdul Gafur, M., Khan, M. Y., & Taranum, F. (2023) · International Conference on Innovations in Engineering and Technology (ICIET) · doi:10.1109/iciet57285.2023.10220910 · Cited by 2

A hybrid diagnostic system for corrosion mechanism identification in petrochemical equipment: Integrating Bayesian probabilities and association rule

Lu, Y., Wang, C.-W., & Wang, C.-H. (2025) · Process Safety and Environmental Protection · doi:10.1016/j.psep.2025.107577 · Cited by 2

Understanding the impact of ballast water management deficiencies on ship detentions: A hybrid predictive approach

Arslan, Ö., & Fışkın, R. (2025) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2025.111847 · Cited by 2

Predictive Analysis of Early Thyroid Disorders Using Integration of Data Mining and Ensemble Intelligence Approaches

Abed, S., Saji, S., & Alshayeji, M. H. (2026) · International Journal of Intelligent Systems · doi:10.1155/int/6746134 · Cited by 2

Association Rule Mining Based on Density and Regional Minimum Support

Soni, K. K., Agrawal, J., Sharma, S., & Agrawal, S. (2015) · International Conference on Communication Systems and Network Technologies · doi:10.1109/csnt.2015.227 · Cited by 2

Scrubbing the Web for Association Rules: An Application in Predictive Text

Lovinger, J., & Valova, I. (2015) · International Conference on Machine Learning and Applications · doi:10.1109/icmla.2015.54 · Cited by 2

Extracting attractive packaging colours to affect the customers subconscious using data mining

Kaedi, M., & Alinia, M. (2016) · International Journal of Business Intelligence and Data Mining · doi:10.1504/ijbidm.2016.081865 · Cited by 2

A Study On Profiling Students via Data Mining

Alan, M. A., & TEMİZ, M. (2019) · Alphanumeric Journal · doi:10.17093/alphanumeric.630866 · Cited by 2

Assessment of Association Rule Mining Using Interest Measures on the Gene Data

Akbaş, K. E., Kıvrak, M., Arslan, A. K., YAKINBAŞ, T., Korkmaz, H., Etem, E. Ö., & Çolak, C. (2022) · Medical Records · doi:10.37990/medr.1088631 · Cited by 2

Diagnosis of Coronary Artery Disease by Bat and Harris Hawk Meta-Heuristic Optimization Algorithms and Machine Learning Methods

Maleki, S., & Mehrjerdi, Y. Z. (2022) · Mudīrīyyat-i salāmat. · doi:10.52547/jha.25.1.57 · Cited by 2

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Cyriac, S., Sivakumar, R., & Raju, N. (2022) · Journal of Computer Science · doi:10.3844/jcssp.2022.1005.1020 · Cited by 2

Internet of things and data science methods for enhanced data processing

Zheng, P., & Theng, L. B. (2024) · Advances in computers · doi:10.1016/bs.adcom.2023.10.006 · Cited by 2

Blood Vessels Disease Detection of Coronary Angiography Images using Deep learning Model

Osama, M., Kumar, R., Shahid, M., & Singh, D. C. K. (2026) · International Journal of Drug Delivery Technology · doi:10.25258/ijddt.16.14s.50 · Cited by 2

Discovering hidden patterns: Association rules for cardiovascular diseases in type 2 diabetes mellitus

Dabla, P. K., Upreti, K., Shrivastav, D., Mehta, V., & Singh, D. (2024) · World Journal of Methodology · doi:10.5662/wjm.v14.i2.92608 · Cited by 2

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(2024) · International Research Journal of Modernization in Engineering Technology and Science · doi:10.56726/irjmets59893 · Cited by 2

Enhancing the conversational process by using a logical closure operator in phenotypes implications

Benito-Picazo, F., Enciso, M., Rossi, C., & Plaza, A. J. G. (2017) · Mathematical Methods in the Applied Sciences · doi:10.1002/mma.4338 · Cited by 2

Classification of Heart Disease Using Cluster Based DT Learning

Mohan, S., Thirumalai, C., & Rababah, A. M. (2020) · Journal of Computer Science · doi:10.3844/jcssp.2020.50.55 · Cited by 2

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Kocakoç, İ. D., & Türkölmez, G. B. (2022) · Contributions to economics · doi:10.1007/978-3-030-85254-2_20 · Cited by 2

Clustering and Association Rule Mining of Cardiovascular Disease Risk Factors

Rustamov, Z. (2022) · Communications in computer and information science · doi:10.1007/978-3-031-23092-9_31 · Cited by 2

An optimization of association rule mining for large database using K- map and Genetic Algorithm: A review

Dhanore, G., & Chaturvedi, S. K. (2014) · International Conference on Electronics and Communication Systems (ICECS) · doi:10.1109/ecs.2014.6892521 · Cited by 2

Analysis of MFGA to Extract Interesting Rules

Rana, M., & Mann, P. S. (2013) · International Journal of Computer Applications · doi:10.5120/14555-2653 · Cited by 2

Effective Rule Based Classifier using Multivariate Filter and Genetic Miner for Mammographic Image Classification

Abubacker, N. F., Azman, A., Murad, M. A. A., & Doraisamy, S. C. (2015) · Research Journal of Applied Sciences Engineering and Technology · doi:10.19026/rjaset.10.2467 · Cited by 2

A methodology for customizing clinical tests for esophageal cancer based on patient preferences

Roy, A., Bhattacharya, S., & Guin, K. K. (2018) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2018.08.001 · Cited by 2

Medical knowledge based data mining for cardiac stress test diagnostics

Nahar, J., Imam, T., Tickle, K. S., & Garcia-Alonso, D. (2015) · Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE) · doi:10.1109/apwccse.2015.7476126 · Cited by 2

Application of Data Mining Techniques in Clinical Decision Making: A Literature Review and Classification

Ameri, H., Alizadeh, S., & Noughabi, E. A. Z. (2017) · Advances in healthcare information systems and administration book series · doi:10.4018/978-1-5225-2515-8.ch012 · Cited by 1

Frequent similar pattern mining using non Boolean similarity functions

Rodríguez‐González, A. Y., Martínez-Trinidad, J. F., Carrasco-Ochoa, J. A., Ruíz-Shulcloper, J., & Alvarado, M. (2019) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-179040 · Cited by 2

1st-degree Atrioventricular (AV-block) and Bundle Branch Block Prediction using Machine Learning

Rasel, R. I., Sultana, N., Meesad, P., Chowdhury, A., & Hossain, M. (2020) · doi:10.1145/3406601.3406647 · Cited by 2

D-GENE-Based Discovery of Frequent Occupational Diseases among Female Home-Based Workers

Yasir, M., Ashraf, A., Chaudhry, M. U., Hassan, F., Lee, J.-H., Jasiński, M., Leonowicz, Z. M., & Jasińska, E. (2021) · Electronics · doi:10.3390/electronics10111230 · Cited by 2

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Chaudhuri, A. K., Banerjee, D. K., Das, A., & Ray, A. (2021) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.18592092 · Cited by 2

Knowledgebase approximation using association rule aggregation

Mehrannia, P., Moshiri, B., & Basir, O. (2022) · International Journal of Data Science and Analytics · doi:10.1007/s41060-021-00304-x · Cited by 2

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Subbulakshmi, B., Deisy, C., & Parthasarathy, S. (2023) · International Journal of Information Retrieval Research · doi:10.4018/ijirr.316125 · Cited by 2

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Bramesh, S. M., Kumar, K. M. A., & Nayyar, A. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-16943-0 · Cited by 2

Review on fuzzy expert system and data mining techniques for the diagnosis of coronary artery disease

Baihaqi, W. M., Hariguna, T., & Astuti, T. P. (2017) · International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE) · doi:10.1109/icitisee.2017.8285527 · Cited by 2

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Ou-Yang, C., Wulandari, C. P., Iqbal, M., Wang, H.-C., & Chen, C.-F. (2019) · Applied Sciences · doi:10.3390/app9224962 · Cited by 2

Data Mining for the Prediction of Heart Disease: A Literature Survey

Umasankar, P., & Thiagarasu, V. (2019) · Asian Journal of Computer Science and Technology · doi:10.51983/ajcst-2019.8.1.2128 · Cited by 2

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Kumar, A., Sanjith, S. S., Cherukuru, R., Verma, V. K., Jain, T. K., & Yadav, A. (2021) · Lecture notes in networks and systems · doi:10.1007/978-981-16-2641-8_36 · Cited by 2

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Bramesh, S. M., & M, A. K. K. (2022) · Indian Journal of Computer Science and Engineering · doi:10.21817/indjcse/2022/v13i4/221304054 · Cited by 2

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Ramesh Dhanaseelan, F., & Sutha, M. J. (2022) · IGI Global eBooks · doi:10.4018/978-1-6684-7136-4.ch026 · Cited by 2

Data mining em banco de dados de eletrocardiograma

Ferreira, J. A. (2014) · doi:10.11606/t.98.2014.tde-15072014-094917 · Cited by 2

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Okemiri, H. A., Uzoma, A., & Nnamene, C. C. (2022) · Research Square · doi:10.21203/rs.3.rs-1428239/v1 · Cited by 2

Application of Association Rule Mining on Food Safety Test Data

Chen, K., Tan, H. S., Gao, J., & Wang, D. X. (2014) · Applied Mechanics and Materials · doi:10.4028/www.scientific.net/amm.556-562.4681 · Cited by 1

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Modak, S., Ghosh, R. K., & Sarkar, D. (2023) · Advances in medical diagnosis, treatment, and care (AMDTC) book series · doi:10.4018/978-1-6684-7561-4.ch011 · Cited by 2

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Kumar, R. N., & Navyasri, M. (2023) · Lecture notes in electrical engineering · doi:10.1007/978-981-99-4713-3_49 · Cited by 1

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Anis, M., Majeed, A., Khalil, M., & Aslam, N. (2023) · VAWKUM Transactions on Computer Sciences · doi:10.21015/vtse.v11i1.1125 · Cited by 1

Association rule mining of clinical and biomarker data in neuroendocrine tumors: A prospective study on disease progression

Knigge, U., Kjellman, M., Grønbæk, H., Thiis‐Evensen, E., Schalin‐Jäntti, C., Welin, S., Sørbye, H., Schneider, M. D. P., Belusa, R., & The Nordic NET Biomarker Group (2025) · Journal of Neuroendocrinology · doi:10.1111/jne.70069 · Cited by 1

Exploring unsupervised learning techniques for early detection of myocardial ischemia in type 2 diabetes

Liu, B., Hou, Y.-J., Ping, W., Han, X., Qi, H., Yang, X., Wu, Z., & Li, S. (2025) · Frontiers in Endocrinology · doi:10.3389/fendo.2025.1668516 · Cited by 1

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Ullah, A., Ashraf, S., Aldakheel, E. A., Abdullah, M., & Khafaga, D. S. (2026) · Scientific Reports · doi:10.1038/s41598-026-41702-0 · Cited by 1

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Hamami, D., & Atmani, B. (2016) · Lecture notes in business information processing · doi:10.1007/978-3-319-47093-1_6 · Cited by 1

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Nahar, J., (9776756), A. B. M. S. A., Tickle, K. S., & (7800338), Y. C. (2009) · Acquire (CQUniversity)

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