Computational Intelligence in Medical Informatics

Naresh Babu Muppalaneni, Vinit Kumar Gunjan (Herausgeber)

Buch | Softcover

96 Seiten

2014 | 2015 ed.
Springer Verlag, Singapore
978-981-287-259-3 (ISBN)

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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.

Dr. M Naresh Babu obtained his PhD in Computer Science/Bioinformatics from Acharya Nagarjuna University in India. He is currently an Assistant Professor at the C R Rao Advanced Institute for Mathematics, Statistics and Computer Science. His research interests are in the area of Cryptography and Bioinformatics.

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.

Reihe/Serie	SpringerBriefs in Applied Sciences and Technology
Reihe/Serie	SpringerBriefs in Forensic and Medical Bioinformatics
Zusatzinfo	32 Illustrations, color; 2 Illustrations, black and white; XIV, 96 p. 34 illus., 32 illus. in color.
Verlagsort	Singapore
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Mathematik / Informatik ► Mathematik
	Medizin / Pharmazie ► Gesundheitswesen
	Medizinische Fachgebiete ► Innere Medizin ► Diabetologie
	Naturwissenschaften ► Biologie
	Technik
ISBN-10	981-287-259-0 / 9812872590
ISBN-13	978-981-287-259-3 / 9789812872593
Zustand	Neuware