Computational Intelligence in Medical Informatics / / edited by Naresh Babu Muppalaneni, Vinit Kumar Gunjan

• Record Nr.: UNINA9910299703003321
• Pubbl/distr/stampa: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2015
• ISBN: 981-287-260-4
• Edizione: [1st ed. 2015.]
• Descrizione fisica: 1 online resource (105 p.)
• Collana: SpringerBriefs in Forensic and Medical Bioinformatics, , 2196-8845
• Disciplina: 006.3; 502.85; 519; 570285; 610.28; 616.46; 616462; 620
• Soggetti: Computational intelligence; Bioinformatics; Diabetes; Biomedical engineering; Health informatics; Applied mathematics; Engineering mathematics; Computational Intelligence; Computational Biology/Bioinformatics; Biomedical Engineering and Bioengineering; Health Informatics; Mathematical and Computational Engineering
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: Analysis of the structural details of DsrO protein -- LCMV interaction changes with T192M mutation in alpha-Dystroglycan.- Structural and functional characterization of Arabidopsis thaliana WW domain ; containing protein F4JC80 -- Structural insights into IbpA-IbpB interactions to predict their roles in heat shock response -- Automatic image segmentation for video capsule endoscopy -- Improving the performance of multi-parameter patient monitor system by using additional features -- Rough Set Rule Based Technique for the Retrieval of Missing Data in Malaria Diseases Diagnosis -- Effect of Feature selection on Kinase Classification Models -- Rheumatoid Arthritis Candidate Genes Identification by Investigating Core and periphery interaction structures.
• Sommario/riassunto: This Brief highlights Informatics and related techniques to Computer Science Professionals, Engineers, Medical Doctors, Bioinformatics researchers and other interdisciplinary researchers. Chapters include the Bioinformatics of Diabetes and several computational algorithms and statistical analysis approach to effectively study the disorders and possible causes along with medical applications.