ArticleJournal of medical systems2013
Intelligent medical disease diagnosis using improved hybrid genetic algorithm--multilayer perceptron network.
Article in Journal of medical systems, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.
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Who cites it
11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 65 citations in OpenAlex.
- On the usage of artificial intelligence in leprosy care: A systematic literature review.PLoS computational biology · 2025Pooled it
- Machine learning and deep learning techniques to support clinical diagnosis of arboviral diseases: A systematic review.PLoS neglected tropical diseases · 2022Pooled it
- Computer-Aided Diagnosis and Clinical Trials of Cardiovascular Diseases Based on Artificial Intelligence Technologies for Risk-Early Warning Model.Journal of medical systems · 2019Article
- A Feature-Driven Decision Support System for Heart Failure Prediction Based onComputational and mathematical methods in medicine · 2019Article
- A note on the weight of inverse complexity in improved hybrid genetic algorithm.Journal of medical systems · 2016Article
- A decision support system to improve medical diagnosis using a combination of k-medoids clustering based attribute weighting and SVM.Journal of medical systems · 2016Article
- Rapid automated classification of anesthetic depth levels using GPU based parallelization of neural networks.Journal of medical systems · 2015Article
- A hybrid intelligent diagnosis approach for quick screening of Alzheimer's disease based on multiple neuropsychological rating scales.Computational and mathematical methods in medicine · 2015Article
- An intelligent system for lung cancer diagnosis using a new genetic algorithm based feature selection method.Journal of medical systems · 2014Article
- A new data preparation method based on clustering algorithms for diagnosis systems of heart and diabetes diseases.Journal of medical systems · 2014Article
- Automatic detection of osteoporosis based on hybrid genetic swarm fuzzy classifier approaches.Dento maxillo facial radiologyArticle
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4 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
An improved genetic algorithm procedure is introduced in this work based on the theory of the most highly fit parents (both male and female) are most likely to produce healthiest offspring. It avoids the destruction of near optimal information and promotes further search around the potential region by encouraging the exchange of highly important information among the fittest solution. A novel crossover technique called Segmented Multi-chromosome Crossover is also introduced. It maintains the information contained in gene segments and allows offspring to inherit information from multiple parent chromosomes. The improved GA is applied for the automatic and simultaneous parameter optimization and feature selection of multi-layer perceptron network in medical disease diagnosis. Compared to the previous works, the average accuracy of the proposed algorithm is the best among all algorithms for diabetes and heart dataset, and the second best for cancer dataset.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.