{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,7]],"date-time":"2025-10-07T00:33:23Z","timestamp":1759797203034,"version":"build-2065373602"},"reference-count":27,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,10,6]],"date-time":"2025-10-06T00:00:00Z","timestamp":1759708800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2025,10,6]],"date-time":"2025-10-06T00:00:00Z","timestamp":1759708800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"Islamic Azad University, Mahabad Branch"},{"name":"Islamic Azad University of Tabriz, Tabriz, Iran, Islamic Republic Of"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J Comput Intell Syst"],"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:p>Liver failure is a common and life-threatening disease, and its early and accurate diagnosis plays a decisive role in improving the treatment process and the quality of life of patients. The complexity of the diagnostic process and the high costs of traditional methods highlight the necessity of utilizing intelligent and efficient systems. In this research, an innovative approach based on a multilayer perceptron (MLP) optimized by a genetic algorithm is presented. First, using principal component analysis (PCA), the data dimensions were reduced, and then the MLP network was trained with weights and biases adjusted by the genetic algorithm (GA). The performance of the proposed system was evaluated on two validated datasets, ILPD and BUPA, in the MATLAB environment and compared with reference methods. The results showed that this system achieved accuracies of 99.55% on the ILPD dataset and 97.85% on the BUPA dataset, demonstrating a significant superiority over previous approaches. This remarkable improvement is due to the optimal tuning of network parameters and can pave the way for the development of a new generation of medical decision support systems with high accuracy and stability.<\/jats:p>","DOI":"10.1007\/s44196-025-01013-0","type":"journal-article","created":{"date-parts":[[2025,10,6]],"date-time":"2025-10-06T11:14:54Z","timestamp":1759749294000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Intelligent Decision Support System for Liver Disease Diagnosis with MLP Network Optimized by Genetic Algorithm"],"prefix":"10.1007","volume":"18","author":[{"given":"Rasoul","family":"Farahi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nahideh","family":"Derakhshanfard","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ali","family":"Ghaffari","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,10,6]]},"reference":[{"issue":"10","key":"1013_CR1","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics13101799","volume":"13","author":"P Allaume","year":"2023","unstructured":"Allaume, P., Rabilloud, N., Turlin, B., Bardou-Jacquet, E., Lor\u00e9al, O., Calderaro, J., Kammerer-Jacquet, S.F.: Artificial intelligence-based opportunities in liver pathology\u2014a systematic review. 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