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082 0 4 _a621.382
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245 1 0 _aIntelligent Healthcare
_h[electronic resource] :
_bApplications of AI in eHealth /
_cedited by Surbhi Bhatia, Ashutosh Kumar Dubey, Rita Chhikara, Poonam Chaudhary, Abhishek Kumar.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aXII, 323 p. 141 illus.
_bonline resource.
336 _atext
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337 _acomputer
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338 _aonline resource
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347 _atext file
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490 1 _aEAI/Springer Innovations in Communication and Computing,
_x2522-8609
505 0 _aIntroduction -- Part –I Medical Expert Systems -- Mobile Agents in Healthcare -- Fuzzy Expert Systems in Medical Domain -- Expert Systems for Bioinformatics -- Virtual Reality and Augmented Realty support systems -- Brain Computer Interface for rehabilitation -- Robotics in healthcare -- Part –II Machine Learning in Healthcare -- Rule based Learning in Healthcare -- Classification and Regression in Healthcare -- Clustering algorithms -- Deep Learning in Healthcare -- Big Data -- Nature Inspired Algorithms -- Part III Case Studies -- Corona Virus Study -- Dementia Prediction -- Brain Injury Data Analysis -- Pesticide data Analysis for cancer detection -- Conclusion.
520 _aThis book fosters a scientific debate for sophisticated approaches and cognitive technologies (such as deep learning, machine learning and advanced analytics) for enhanced healthcare services in light of the tremendous scope in the future of intelligent systems for healthcare. The authors discuss the proliferation of huge data sources (e.g. genomes, electronic health records (EHRs), mobile diagnostics, and wearable devices) and breakthroughs in artificial intelligence applications, which have unlocked the doors for diagnosing and treating multitudes of rare diseases. The contributors show how the widespread adoption of intelligent health based systems could help overcome challenges, such as shortages of staff and supplies, accessibility barriers, lack of awareness on certain health issues, identification of patient needs, and early detection and diagnosis of illnesses. This book is a small yet significant step towards exploring recent advances, disseminating state-of-the-art techniques and deploying novel technologies in intelligent healthcare services and applications. Describes the advances of computing methodologies for life and medical science data; Presents applications of artificial intelligence in healthcare along with case studies and datasets; Provides an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians.
650 0 _aTelecommunication.
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650 0 _aBiomedical engineering.
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650 0 _aMedical informatics.
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650 0 _aApplication software.
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650 1 4 _aCommunications Engineering, Networks.
_931570
650 2 4 _aBiomedical Engineering and Bioengineering.
_931842
650 2 4 _aHealth Informatics.
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650 2 4 _aComputer and Information Systems Applications.
_939520
700 1 _aBhatia, Surbhi.
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700 1 _aDubey, Ashutosh Kumar.
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700 1 _aChhikara, Rita.
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700 1 _aChaudhary, Poonam.
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700 1 _aKumar, Abhishek.
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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830 0 _aEAI/Springer Innovations in Communication and Computing,
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856 4 0 _uhttps://doi.org/10.1007/978-3-030-67051-1
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