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Artificial Intelligence Applications for Health Care [Paperback]

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  • Category: Books (Business & Economics)
  • Author:  Ahirwal, Mitul Kumar, Londhe, Narendra D., Kumar, Anil
  • Author:  Ahirwal, Mitul Kumar, Londhe, Narendra D., Kumar, Anil
  • ISBN-10:  1032148470
  • ISBN-10:  1032148470
  • ISBN-13:  9781032148472
  • ISBN-13:  9781032148472
  • Publisher:  CRC Press
  • Publisher:  CRC Press
  • Pages:  332
  • Pages:  332
  • Binding:  Paperback
  • Binding:  Paperback
  • SKU:  1032148470-11-MPOD
  • SKU:  1032148470-11-MPOD
  • Item ID: 107072560
  • Seller: ShopSpell
  • Ships in: 2 business days
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  • Delivery by: Oct 06 to Oct 08
  • Notes: Brand New Item. Not shipped to AK, HI, APO, FPO, AE.

This book takes an interdisciplinary approach covering health care, cognitive computing, and artificial intelligence. Data sets related to biomedical signals (ECG, EEG, EMG) and images (X-rays, MRI, CT) are explored, analyzed, and processed.

Mitul K. Ahirwal is currently working as an Assistant Professor in the Department of Computer Science and Engineering at, Maulana Azad National Institute of Technology Bhopal, India. His research area is biomedical signal processing, swarm optimization, Brain Computer Interface and Healthcare system. He has been involved as a reviewer with various reputed journals.

Narendra D. Londhe is currently working with National Institute of Technology Raipur as an Associate Professor in Department of Electrical Engineering. His area of research includes Image and signal processing, soft computing, Biometrics, Ultrasound Imaging, IVUS imaging, Brain computer interface, Pain assessment and Psoriasis severity detection.

Anil Kumar joined as an Assistant Professor in the Electronic & Communication Engineering Department, Indian Institute of Information Technology Design and Manufacturing, Jabalpur, India since 2009 to July 2016. His academic and research interest is design of Digital Filters & Multirate Filter Bank, Multirate Signal Processing, Biomedical Signal Processing, Image Processing, and Speech Processing.

1. A Survey of Machine Learning in Healthcare. 2. A Review on Biomedical Signals with Fundamentals of Digital Signal Processing. 3. Images in Radiology : Concepts of Image Acquisition and the Nature of Images. 4. Fundamentals of Artificial Intelligence and Computational Intelligence Techniques with their Applications in Healthcare Systems. 5. Machine Learning Approach with Data Normalization Technique for Early Stage Detection of Hypothyroidism. 6. GPlƒ&
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