{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T05:47:34Z","timestamp":1773985654954,"version":"3.50.1"},"reference-count":21,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2025,2,13]],"date-time":"2025-02-13T00:00:00Z","timestamp":1739404800000},"content-version":"vor","delay-in-days":43,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Intelligent Systems"],"published-print":{"date-parts":[[2025,1]]},"abstract":"<jats:p>\n                    Heart disease is a leading cause of death worldwide, affecting millions of lives each year. Earlier and more accurate heart disease detection helps people to save their valuable lives. Many existing systems remain costly and inaccurate. To overcome these issues, an exponential fossa optimization algorithm\u2013based parallel convolutional neural network (EFOA\u2010PCNN) is proposed in this paper for efficient heart disease detection. Initially, the heart disease data are allowed for data normalization, which is performed by min\u2013max normalization. These normalized data are forwarded to the feature selection phase, which is conducted based on chord distance. Finally, heart disease detection is performed using a parallel convolutional neural network (PCNN) that is trained using the EFOA. Here, the EFOA is developed by the combination of the fossa optimization algorithm (FOA) and exponentially weighted moving average (EWMA). The performance of the proposed EFOA\u2010PCNN is analysed by three metrics, such as specificity, sensitivity, and accuracy, and the\n                    <jats:italic>F<\/jats:italic>\n                    1 score that gained superior values of 91.95%, 91.76%, 91.86%, and 92.39%. These results highlight the robustness and reliability of the proposed method in comparison to traditional approaches.\n                  <\/jats:p>","DOI":"10.1155\/int\/1409684","type":"journal-article","created":{"date-parts":[[2025,2,13]],"date-time":"2025-02-13T06:53:26Z","timestamp":1739429606000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Min\u2013Max Filtering and Exponential Fossa Optimization Algorithm\u2013Based Parallel Convolutional Neural Network for Heart Disease Detection"],"prefix":"10.1155","volume":"2025","author":[{"given":"Aathilakshmi","family":"S.","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1371-3088","authenticated-orcid":false,"given":"Balasubramaniam","family":"S.","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8852-2740","authenticated-orcid":false,"given":"Sivakumar","family":"T. A.","sequence":"additional","affiliation":[]},{"given":"Lakshmi Chetana","family":"V.","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2025,2,13]]},"reference":[{"key":"e_1_2_12_1_2","article-title":"Heart Disease Prediction Using Novel Ensemble and Blending Based Cardiovascular Disease Detection Networks: EnsCVDD-Net and BlCVDD-Net","author":"Khan H.","year":"2024","journal-title":"IEEE Access"},{"key":"e_1_2_12_2_2","first-page":"429","article-title":"Heart Disease and Diabetes","volume":"2","author":"Wingard D. L.","year":"1995","journal-title":"Diabetes in America"},{"key":"e_1_2_12_3_2","doi-asserted-by":"publisher","DOI":"10.14569\/IJACSA.2018.091001"},{"key":"e_1_2_12_4_2","doi-asserted-by":"publisher","DOI":"10.1504\/IJIIDS.2025.143486"},{"key":"e_1_2_12_5_2","article-title":"Heart Disease Detection Using Feature Extraction and Artificial Neural Networks: A Sensor-Based Approach","author":"Naeem A. B.","year":"2024","journal-title":"IEEE Access"},{"key":"e_1_2_12_6_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11831-024-10075-w"},{"key":"e_1_2_12_7_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-56931-4"},{"key":"e_1_2_12_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3285247"},{"key":"e_1_2_12_9_2","doi-asserted-by":"publisher","DOI":"10.48084\/etasr.8171"},{"key":"e_1_2_12_10_2","doi-asserted-by":"publisher","DOI":"10.52783\/jes.2516"},{"key":"e_1_2_12_11_2","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-022-04433-4"},{"key":"e_1_2_12_12_2","doi-asserted-by":"publisher","DOI":"10.1007\/s41870-023-01445-x"},{"key":"e_1_2_12_13_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.119557"},{"key":"e_1_2_12_14_2","doi-asserted-by":"crossref","unstructured":"LeeS. JhaD. AgrawalA. ChoudharyA. andLiaoW. K. Parallel Deep Convolutional Neural Network Training by Exploiting the Overlapping of Computation and Communication 2017 IEEE 24th International Conference on High Performance Computing (HiPC) December 2017 Jaipur India IEEE 183\u2013192.","DOI":"10.1109\/HiPC.2017.00030"},{"key":"e_1_2_12_15_2","unstructured":"The Heart Disease Dataset is Taken From https:\/\/archive.ics.uci.edu\/ml\/datasets\/heart+Disease."},{"key":"e_1_2_12_16_2","doi-asserted-by":"publisher","DOI":"10.3390\/sym15122185"},{"key":"e_1_2_12_17_2","first-page":"439","article-title":"Compressed Domain Image Retrieval: A Comparative Study of Similarity Metrics","volume":"5150","author":"Hatzigiorgaki M.","year":"2003","journal-title":"Visual Communications and Image Processing"},{"key":"e_1_2_12_18_2","doi-asserted-by":"publisher","DOI":"10.1080\/00224065.1986.11979014"},{"key":"e_1_2_12_19_2","article-title":"Fossa Optimization Algorithm: A New Bio-Inspired Metaheuristic Algorithm for Engineering Applications","volume":"17","author":"Hamadneh T.","year":"2024","journal-title":"International Journal of Intelligent Engineering & Systems"},{"key":"e_1_2_12_20_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2024.106177"},{"key":"e_1_2_12_21_2","first-page":"1","article-title":"Res-Unet Based Blood Vessel Segmentation and Cardio Vascular Disease Prediction Using Chronological Chef-Based Optimization Algorithm Based Deep Residual Network from Retinal Fundus Images","author":"Kadry S.","year":"2024","journal-title":"Multimedia Tools and Applications"}],"container-title":["International Journal of Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/int\/1409684","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1155\/int\/1409684","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/int\/1409684","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T18:07:23Z","timestamp":1772993243000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1155\/int\/1409684"}},"subtitle":[],"editor":[{"given":"Eugenio","family":"Vocaturo","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2025,1]]},"references-count":21,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2025,1]]}},"alternative-id":["10.1155\/int\/1409684"],"URL":"https:\/\/doi.org\/10.1155\/int\/1409684","archive":["Portico"],"relation":{},"ISSN":["0884-8173","1098-111X"],"issn-type":[{"value":"0884-8173","type":"print"},{"value":"1098-111X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,1]]},"assertion":[{"value":"2024-12-06","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-01-17","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-02-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"1409684"}}