Artificial Intelligence Applications for Health Care

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.

Info autore

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.

Riassunto

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.

Dettagli sul prodotto

• Autori: Mitul Kumar Ahirwal, Narendra D. Londhe, Anil Kumar, Kumar Anil, Mitul Kumar (Maulana Azad National Inst o Ahirwal
• Editore: Taylor & Francis Ltd.
• Contenuto: Libro
• Forma del prodotto: Tascabile
• Data pubblicazione: 29.11.2024
• Categoria: Scienze sociali, diritto, economia > Economia > Altro; Scienze naturali, medicina, informatica, tecnica > Medicina > Tematiche generali
• EAN: 9781032148472
• ISBN: 978-1-0-3214847-2
• Numero di pagine: 312
• Categorie: DR, FI, machine learning, MEDICAL / Health Care Delivery, SCIENCE / Biotechnology, MEDICAL / Administration, BUSINESS & ECONOMICS / Industries / Service, MEDICAL / Education & Training, TECHNOLOGY & ENGINEERING / Biomedical, COMPUTERS / Machine Theory, biotechnology, RGB, SARS CoV, Random Forest, CT scan, Mathematical theory of computation, Computational Intelligence, Biomedical engineering, Medical administration & management, Health systems & services, Hospitality and service industries, Service industries, COMPUTERS / Data Science / Machine Learning, Pre-clinical medicine: basic sciences, BUSINESS & ECONOMICS / Industries / Healthcare, Primary care medicine, primary health care, Medical administration and management, MEDICAL / Nursing / Care Plans, svm, image segmentation, neural network, machine learning algorithms, OCT, neural network optimization, digital signal analysis, swarm intelligence methods, CNN Model, CSV File, Ml Model, medical data preprocessing, radiology imaging techniques, advanced healthcare signal processing, EMG Signal, Retinal Fundus Images, Deep Learning Model, PCNN, Convolution Layer, MIT BIH Database, MR Image, Maxpooling Layers, CT Scan Image, EOG Signal, Retinal Lesions, Python Platform