Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning (Advances in Medical Diagnosis, Treatment, and Care)

ISBN 10: 1799827429 / ISBN 13: 9781799827429

Edité par Medical Info Science Reference, 2020

A propos de cet article

This book is in acceptable condition and may have highlighting and or writing throughout. The actual cover image may not match the stock photo, dust jacket may be damaged or missing. Book may show internal and or external wear on spine or cover and may be slightly skewed or have creased pages. This is a used book so codes may be invalid or accompanying media may be missing. May be an Ex library book with stickers and stamps.

N° de réf. du vendeur GBV.1799827429.A

Détails bibliographiques

• Titre: Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning (Advances in Medical Diagnosis, Treatment, and Care)
• Éditeur: Medical Info Science Reference
• Date de parution: 2020
• Langue: anglais
• ISBN à 10 chiffres: 1799827429
• ISBN à 13 chiffres: 9781799827429
• Reliure: Couverture rigide
• État de l'article: acceptable

A propos de ce titre

Synopsis

By applying data analytics techniques and machine learning algorithms to predict disease, medical practitioners can more accurately diagnose and treat patients. However, researchers face problems in identifying suitable algorithms for pre-processing, transformations, and the integration of clinical data in a single module, as well as seeking different ways to build and evaluate models. The Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning is a pivotal reference source that explores the application of algorithms to making disease predictions through the identification of symptoms and information retrieval from images such as MRIs, ECGs, EEGs, etc. Highlighting a wide range of topics including clinical decision support systems, biomedical image analysis, and prediction models, this book is ideally designed for clinicians, physicians, programmers, computer engineers, IT specialists, data analysts, hospital administrators, researchers, academicians, and graduate and post-graduate students.

À propos des auteurs

Geeta Rani is the Assistant Professor (Senior Grade) at Manipal University Jaipur. She has an enriched experience of ten years in teaching the graduate and post graduate students. She is chief editor of the book “Handbook of Disease Prediction using Machine Learning”, to be published by IGI Global. She has published two patents in the applications of Artificial Intelligence. She is awarded with registration of five copyrights for software applications. She has published many articles in the journals of repute, National and International conferences. She also has published four book chapters in the books indexed in SCOPUS and Web of Science. She is working on the funded project recommended by Indian Space Research Organisation. Her one project has been shortlisted in SERB for evaluation. She qualified for the ‘Women Scientist-IPR’. She is international trainer for the cloud computing, certified by IBM. She has delivered many invited talks at the national conferences. She is reviewer of many SCI, SCIE and SCOPUS indexed Journals. More than seven IPR are registered in her name.

Pradeep Kumar Tiwari is a research scholar in Computer Science & Engineering Department at Manipal University Jaipur, India. He received the M.Phil degree in Computer Science from the Mahatma Gandhi Chitrakoot Gramodaya Vishwavidyalaya, M.P., India, 2012. The M.C.A degree in Computer Application from the Rajiv Gandhi Proudyogiki Vishwavidyalaya, M.P., India, in 2008. He has held Asst. Professor Positions at The Vindhya Institute of Technology, and the Aditya College of Technology, Satna, M.P, India. His research interests cover the Distributed Computing, Cloud Computing, Virtualization, Grid Computing, Cluster Computing and Network Security. He has published 6 article in refereed international journal and 10 publications in international conferences (i.e. IEEE, Springer). He is reviewer of 5 international conferences and at present, he is reviewer and editorial member of 4 journals.