03176nam 2200433 450 991055449670332120230629235556.03-11-066832-7(CKB)4100000011689934(MiAaPQ)EBC6478599(DE-B1597)532619(DE-B1597)9783110668322(EXLCZ)99410000001168993420210320d2021 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierArtificial intelligence for data-driven medical diagnosis /edited by Deepak Gupta [and three others]Berlin ;Boston :De Gruyter,[2021]©20211 online resource (328 pages)Intelligent Biomedical Data Analysis ;Volume 33-11-066781-9 Frontmatter -- Preface -- Acknowledgment -- Contents -- List of contributors -- 1 Performance of CNN for predicting cancerous lung nodules using LightGBM -- 2 Deep learning-based cellular image analysis for intelligent medical diagnosis -- 3 Deep learning approaches in metastatic breast cancer detection -- 4 Machine learning: an ultimate solution for diagnosis and treatment of cancer -- 5 Artificial intelligence in medicine (AIM): machine learning in cancer diagnosis, prognosis and therapy -- 6 Diagnosis disease from medical databases using neural networks: a review -- 7 A novel neutrosophic approach-based filtering and Gaussian mixture modeling clustering for CT/MR images -- 8 Decentralized solutions for data collection and privacy in healthcare -- 9 Navigation from conventional to intelligent healthcare: adoption of Internet of health things for noncommunicable disease screening, diagnosis, monitoring and treatment in community settings -- 10 Automated gastric cancer detection and classification using machine learning -- 11 Artificial intelligence applications for medical diagnosis and production with 3D printing technologies -- 12 Detection of breast cancer using deep neural networks with transfer learning on histopathological images -- 13 A machine vision technique-based tongue diagnosis system in Ayurveda -- 14 Vine copula and artificial neural network models to analyze breast cancer data -- IndexThis book collects research works of data-driven medical diagnosis done via Artificial Intelligence based solutions, such as Machine Learning, Deep Learning and Intelligent Optimization. Physical devices powered with Artificial Intelligence are gaining importance in diagnosis and healthcare. Medical data from different sources can also be analyzed via Artificial Intelligence techniques for more effective results.Intelligent biomedical data analysis ;Volume 3.Artificial intelligenceArtificial intelligence.006.3Gupta DeepakMiAaPQMiAaPQMiAaPQBOOK9910554496703321Artificial intelligence for data-driven medical diagnosis2817453UNINA