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This study conducts a comprehensive comparative analysis of 13 machine learning and deep learning models for nonclinical, symptom\u2010based dengue prediction, focusing on the Bangladeshi population. Using a dataset of 500 patient records with 22 symptom\u2010based features, we evaluated a wide spectrum of classifier algorithms, including tree\u2010based (e.g., random forest, extra trees, bagging), linear (logistic regression, SGDClassifier), and an instance\u2010based classifier. Our comparative evaluation revealed that a custom\u2010built, hyperparameter\u2010tuned artificial neural network (ANN) achieved the highest accuracy of 97.5%, significantly outperforming all other models. While tree\u2010based models like random forest also demonstrated strong performance (93.2%), other classifiers showed considerably lower efficacy. To ensure transparency in our top\u2010performing model, SHapley Additive exPlanations (SHAP) was employed, identifying critical predictors such as retro\u2010ocular pain, swollen eyelids, and age. This study not only establishes the superiority of a well\u2010tuned ANN for this task but also demonstrates the value of broad model comparison and explainability in building reliable diagnostic tools for public health.<\/jats:p>","DOI":"10.1155\/jotm\/1709439","type":"journal-article","created":{"date-parts":[[2025,12,14]],"date-time":"2025-12-14T15:40:27Z","timestamp":1765726827000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Early Dengue Prediction in Bangladesh: A Comparative Study With Feature Analysis, Explainable Artificial Intelligence, and Model Optimization"],"prefix":"10.1155","volume":"2025","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-5867-2040","authenticated-orcid":false,"given":"Md Atik","family":"Bhuiyan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-7836-2022","authenticated-orcid":false,"given":"Md Rashik Shahriar","family":"Akash","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-9414-4519","authenticated-orcid":false,"given":"Radiful","family":"Islam","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0535-9704","authenticated-orcid":false,"given":"Shohidul Islam","family":"Polash","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8900-8580","authenticated-orcid":false,"given":"Sharun Akter","family":"Khushbu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,12,14]]},"reference":[{"key":"e_1_2_15_1_2","doi-asserted-by":"publisher","DOI":"10.1038\/nature12060"},{"key":"e_1_2_15_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/s0065-3527(03)59005-4"},{"key":"e_1_2_15_3_2","doi-asserted-by":"publisher","DOI":"10.1128\/cmr.00035-09"},{"key":"e_1_2_15_4_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-0517-7_16"},{"key":"e_1_2_15_5_2","doi-asserted-by":"publisher","DOI":"10.4269\/ajtmh.1997.57.285"},{"key":"e_1_2_15_6_2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pntd.0003901"},{"key":"e_1_2_15_7_2","unstructured":"World Health Organization Comprehensive Guideline for Prevention and Control of Dengue and Dengue Haemorrhagic Fever 2011."},{"key":"e_1_2_15_8_2","doi-asserted-by":"publisher","DOI":"10.4269\/ajtmh.1966.15.573"},{"key":"e_1_2_15_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.envint.2013.11.002"},{"key":"e_1_2_15_10_2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0199457"},{"key":"e_1_2_15_11_2","unstructured":"https:\/\/dashboard.dghs.gov.bd\/pages\/heoc_dengue_v1.php."},{"key":"e_1_2_15_12_2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pntd.0000196"},{"key":"e_1_2_15_13_2","article-title":"Dengue Disease Prediction Using Weka Data Mining Tool","author":"Shakil K. 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