Enhancing Health Care with Optimized Computational Models for Disease Diagnosis Using Gene Expression Dataset
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-5204-1_1
Reference34 articles.
1. Aher CN, Jena AK (2021) Rider-chicken optimization dependent recurrent neural network for cancer detection and classification using gene expression data. Comput Methods Biomech Biomed Eng: Imaging Vis 9(2):174–191. https://doi.org/10.1080/21681163.2020.1830436
2. Aher CN, Jena AK (2023) Improved invasive weed bird swarm optimization algorithm (IWBSOA) enabled hybrid deep learning classifier for diabetic prediction. J Ambient Intell Human Comput 14:3929–3945. https://doi.org/10.1007/s12652-022-04462-z
3. Aher CN, Jena AK (2023) Heart disease detection from gene expression data using optimization driven deep Q-network. In: Bhateja V, Yang XS, Chun-Wei Lin J, Das R (eds) Intelligent data engineering and analytics. FICTA 2022. Smart innovation, systems and technologies, vol 327. Springer, Singapore. https://doi.org/10.1007/978-981-19-7524-0_53
4. Das H, Jena AK, Nayak J, Naik B, Behera HS (2015) A Novel PSO based back propagation learning-MLP (PSO-BP-MLP) for classification. In: Jain L, Behera H, Mandal J, Mohapatra D (eds) Computational intelligence in data mining, vol 2. Smart innovation, systems and technologies, vol 32. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2208-8_42
5. Aher CN, Jena AK (2020) Soft computing based approaches for classifying diseases using medical diagnosis dataset. In: 2020 international conference on emerging smart computing and informatics (ESCI), Pune, India, 2020, pp 77–81. https://doi.org/10.1109/ESCI48226.2020.9167518
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