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Handbook of Computational Intelligence in Biomedical Engineering and Healthcare |
Asit Das; Bighnaraj Naik; Danilo Pelusi andJanmenjoy Nayak
Academic Press
Handbook of Computational Intelligence in Biomedical Engineering and Healthcare
Computational intelligence in healthcare and biosignal processing
Authors

Nagaraj Balakrishnan; Valentina E. Balas; Arunkumar Rajendran

ARI Id

1665416520523_16721919

Access

Not Available Free

Table of Contents of Book
Showing 1 to 14 of 14 entries
Chapters/HeadingsAuthor(s)PagesInfo
Application of dynamical systems based deep learning algorithms to model emergent characteristics for healthcare diagnostics
David Al-Dabass; Lela Mirtskhulava
Computational intelligence in healthcare and biosignal processing
Nagaraj Balakrishnan; Valentina E. Balas; Arunkumar Rajendran
A semi-supervised approach for automatic detection and segmentation of optic disc from retinal fundus image
Susovan Jana; Ranjan Parekh; Bijan Sarkar
Medical decision support system using data mining
L. Jegatha Deborah; S.C. Rajkumar; P. Vijayakumar
Deep learning in gastroenterology
Subhashree Mohapatra; Tripti Swarnkar; Manohar Mishra; David Al-Dabass; Raffaele Mascella
Application of soft computing techniques to calculation of medicine dose during the treatment of patient
Ramjeet Singh Yadav
Multiobjective optimization technique for gene selection and sample categorization
Sunanda Das; Asit Kumar Das
Medical decision support system using data mining semicircular-based angle-oriented facial recognition using neutrosophic logic
R.N.V. Jagan Mohan
Preservation module prediction by weighted differentially coexpressed gene network analysis (WDCGNA) of HIV-1 disease
Ria Kanjilal; Bandana Barman; Mainak Kumar Kundu
Computational intelligence for genomic data
Parameswar Sahu; Fahmida Khan; Subrat Kumar Pattanayak
A Kinect-based motor rehabilitation system for stroke recovery
Sriparna Saha; Neha Das
Empirical study on Uddanam chronic kidney diseases (UCKD) with statistical and machine learning analysis including probabilistic neural networks
T. PanduRanga Vital
Enhanced brain tumor detection using fractional wavelet transform and artificial neural network
Bhakti Kaushal; Mukesh D. Patil; Gajanan K. Birajdar
A study on smartphone sensor-based Human Activity Recognition using deep learning approaches
Riktim Mondal; Dibyendu Mukhopadhyay; Sayanwita Barua; Pawan Kumar Singh; Ram Sarkar; Debotosh Bhattacharjee
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 14 of 14 entries
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