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MM risk factor detection procedures include positron emission tomography, magnetic resonance imaging, biopsies, X-rays, and blood tests, which are all necessary but costly and intrusive. Researchers primarily concentrated on the investigation of MM risk variables in the study. Mesothelioma symptoms were detected with the help of data from mesothelioma patients. The dataset, however, included both healthy and mesothelioma patients. Classification algorithms for MM illness diagnosis were carried out using computationally efficient data mining techniques. The support vector machine outperformed the multilayer perceptron ensembles (MLPE) neural network (NN) technique, yielding promising findings. With 99.87% classification accuracy achieved using 10-fold cross-validation over 5 runs, SVM is the best classification when contrasted to the MLPE NN, which achieves 99.56% classification accuracy. In addition, SPSS analysis is carried out for this study to collect pertinent and experimental data.<\/jats:p>","DOI":"10.1515\/biol-2022-0746","type":"journal-article","created":{"date-parts":[[2023,11,3]],"date-time":"2023-11-03T12:11:00Z","timestamp":1699013460000},"source":"Crossref","is-referenced-by-count":7,"title":["A data mining technique for detecting malignant mesothelioma cancer using multiple regression analysis"],"prefix":"10.1515","volume":"18","author":[{"given":"Abdulla Mousa Falah","family":"Alali","sequence":"first","affiliation":[{"name":"Department of Computer Science, Isra University , Amman , Jordan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dhyaram Lakshmi","family":"Padmaja","sequence":"additional","affiliation":[{"name":"Department of Information Technology, Anurag University , Hyderabad , Telangana , India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mukesh","family":"Soni","sequence":"additional","affiliation":[{"name":"Department of CSE, University Centre for Research & Development, Chandigarh University , Mohali , Punjab 140413 , India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muhammad Attique","family":"Khan","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Mathematics, Lebanese American University , Beirut , Lebanon"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Faheem","family":"Khan","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, Gachon University , Seongnam-si , South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Isaac","family":"Ofori","sequence":"additional","affiliation":[{"name":"Department of Environmental and Safety Engineering, University of Mines and Technology (UMaT) , Tarkwa , Ghana"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"374","published-online":{"date-parts":[[2023,11,3]]},"reference":[{"key":"2024122113214392243_j_biol-2022-0746_ref_001","doi-asserted-by":"crossref","unstructured":"Mukherjee S. 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