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Association rule mining to detect factors which contribute to heart disease in males and females
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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
Flagged first, then by citations
2 of the 54 references couldn’t be matched to a known paper.
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.
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Barazandeh, I., & Gholamian, M. R. (2015) · IGI Global eBooks · doi:10.4018/978-1-4666-8756-1.ch055 · Cited by 1
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Singh, A., Vij, D., Jijja, A., & Verma, S. (2023) · Springer proceedings in mathematics & statistics · doi:10.1007/978-3-031-15175-0_3 · Cited by 1
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Machine Learning Untuk Klasifikasi Penyakit Jantung
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Dhanore, G., & Chaturvedi, S. K. (2013) · International Journal of Computer Applications · doi:10.5120/14680-2143 · Cited by 1
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Srisa-An, C., & Denphaisarn, N. (2016) · Universiti Utara Malaysia Institutional Repository (Universiti Utara Malaysia) · Cited by 1
Roy, A., Bhattacharya, S., & Guin, K. K. (2017) · International Journal of Advances in Engineering Sciences and Applied Mathematics · doi:10.1007/s12572-017-0199-0 · Cited by 1
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Wang, Z. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-981-15-1468-5_211 · Cited by 1
Rahman, F., & Mahmood, M. A. (2021) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-981-16-6636-0_6 · Cited by 1
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Phinney, M. A. (2017) · doi:10.32469/10355/63867 · Cited by 1
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Ramya, J. B., Megha, K. M., Nayak, M. S. S., & Sheela, G. (2016) · International Journal of Innovative Research and Development
Kavitha, K. (2016) · International Journal of Computer Trends and Technology · doi:10.14445/22312803/ijctt-v33p102
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Barazandeh, I., & Gholamian, M. R. (2014) · Advances in healthcare information systems and administration book series · doi:10.4018/978-1-4666-6316-9.ch013
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Usman, M., Usman, M., & Asghar, S. (2016) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-152176
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Yan, J. (2014) · doi:10.1002/9781118638743.ch2
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-, D. K., -, J. S., Bindu, P. H., -, V. S., & Prasanna, L., V (2024) · International Journal For Multidisciplinary Research · doi:10.36948/ijfmr.2024.v06i02.13382
Han, S., Mo, G., Gao, T., Sun, Q., Liu, H., & Zhang, M. (2022) · Figshare · doi:10.6084/m9.figshare.20004699
Han, S., Mo, G., Gao, T., Sun, Q., Liu, H., & Zhang, M. (2022) · Figshare · doi:10.6084/m9.figshare.20004696
Cheng, T., & Huang, C. (2024) · Measurement Interdisciplinary Research and Perspectives · doi:10.1080/15366367.2024.2330297
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Nancy, P., Padmapriya, G., Anand, M. S., Vinod, D. F., & Rosaline, R. A. A. (2024) · Advances in information security, privacy, and ethics book series · doi:10.4018/979-8-3693-4159-9.ch016
Darrab, S., Kleinert, F., Broneske, D., & Saake, G. (2024) · Lecture notes in computer science · doi:10.1007/978-981-96-0840-9_1
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Aleesa, R. S., Al-Bermani, N. K., & Naman, H. A. (2025) · Recent Advances in Computer Science and Communications · doi:10.2174/0126662558371546250312143557
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Self-citationEmerging methodologies in socio-political risk research: An introduction
Lukoianove, T., Mihalache-Okeef, A., Demirkan, I., Jiang, C. X., Chintakananda, A., & White, G. O. (2025) · Journal of International Management · doi:10.1016/j.intman.2025.101264
Prediction Heart Disease using Neural Network
Raja, P. V., Choubey, M., Gupta, L., & Yadav, J. S. (2025) · International Conference on Microwave, Antenna and Communication (MAC) · doi:10.1109/mac64480.2025.11140232
Sathyaseelan, K., & Sarathambekai, S. (2025) · International Conference on Next Generation Computing Systems (ICNGCS) · doi:10.1109/icngcs64900.2025.11183392
Han, S., Mo, G., Gao, T., Sun, Q., Liu, H., & Min, Z. (2022) · Figshare · doi:10.6084/m9.figshare.20004693
Chen, C., Zheng, X., Liao, S., Chen, S., Liang, M., Tang, K., Yin, M., Liu, H., & Ni, J. (2024) · Figshare · doi:10.6084/m9.figshare.25929089
Identifying the association levels of marine accidents involving tankers in the Baltic Sea region
Sevgili, C., & Kundakçı, B. (2025) · Marine Science and Technology Bulletin · doi:10.33714/masteb.1802522
Mahalingam, P. R., & Dheeba, J. (2026) · SN Computer Science · doi:10.1007/s42979-026-04739-6
Federated Learning for Early Heart Disease Prediction using Multilayer Perceptron Models
Gandhari, A., Sankalp, T. S., Paasam, V. C., & Vijayalata, Y. (2025) · International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT) · doi:10.1109/icerect65215.2025.11376082
Effective Association Rule Generation in Healthcare Using Optimization Algorithms
Selvaraj, S., Nidhyananthan, S. S., Subramanian, T. R., & Guru, T. R. T. (2026) · SN Computer Science · doi:10.1007/s42979-026-04873-1
Data mining and learning for markers extraction to improve the medical monitoring platforms
Rjeily, C. B. (2019) · theses.fr (ABES) · doi:10.70675/722102c8za414z4d81za841z7223e9b26a2d
Weighted Compact Tree for Discovery of Association among Frequent and Rare Attributes
Rai, S., Maiya, G., Shetty, K. N., Kumar, P., Vidyadhar, V., & Shetty, R. (2026) · Journal of Computers Mechanical and Management · doi:10.57159/jcmm.5.3.25437
Sun, Z., Ma, Y., Wu, X., & Wang, P. (2026) · Research Square · doi:10.21203/rs.3.rs-10312704/v1
Jijgnas, K., Reddy, K. S. D., Gupta, P., Goel, A., & Sumpi, K. (2026) · Communications in computer and information science · doi:10.1007/978-3-032-30990-7_34
Cardiovascular Disease Detection Using Machine Learning Techniques
Tyagi, D., Bind, A., Saini, V., & Saini, V. (2026) · International Conference on Sustainable Engineering and Technology Innovations (ICSETI) · doi:10.1109/icseti67678.2026.11637052
Nyakilla, E. E., Sun, G., Hao, H., Li, D., Yu, X., Nafouanti, M. B., Lupyana, S. D., Maagi, M. T., Zahoro, A., Mabeyo, P. E., et al. (2026) · ACS Applied Engineering Materials · doi:10.1021/acsaenm.6c00595
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Rezazadeh, A. A., & Avami, A. (2026) · doi:10.1002/9781394394807.ch13
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
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