AI and Machine Learning Paradigms for Health Monitoring System | Intelligent Data Analytics
Idioma: inglés
Editorial: Springer, 2022
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AI and Machine Learning Paradigms for Health Monitoring System | Intelligent Data Analytics | Hasmat Malik (u. a.) | Taschenbuch | Studies in Big Data | xxiv | Englisch | 2022 | Springer | EAN 9789813344143 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
N° de ref. del artículo 121147173
- Título
- AI and Machine Learning Paradigms for Health Monitoring System | Intelligent Data Analytics
- Autor
- Hasmat Malik (u. a.)
- Editorial
- Springer
- Año de publicación
- 2022
- Estado
- Neu
- Encuadernación
- Taschenbuch
- Idioma
- inglés
- ISBN 10
- 9813344148
- ISBN 13
- 9789813344143
- Peso del artículo
- 809 gramos
- Dimensiones
- 235 x 155 x 29 mm
- Serie
- Libro 78 de 95: Studies in Big Data
- Catálogos de vendedores
- Bücher
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Acerca del autor
Dr Nuzhat Fatema has 10 years of experience in intelligent data analytics using AI & Machine learning for hospital and health care management. Dr. Fatema is the Co-founder of the Intelligent Prognostic Private Limited. Dr Fatema speaks nationally and internationally about the importance and power of data in hospital and healthcare systems.Dr. Fatema a BAMS graduated from Maharashtra University of Health Sciences, India. She has cured many patients with her skills of medicinal knowledge. Later to go beyond the clinical skills, she has achieved post-graduation in hospital management from International Institute of Health Management Research (IIHMR), Delhi. This was the platform where she has utilized her clinical skills with her managerial skills using artificial intelligence (AI), Machine Learning (ML) and Data Analytics. She has worked as a research associate at National Board of Examinations (NBE) India and dealt with the accreditation process for post graduate courses in different multi-specialty hospitals in the country. She has authored one book describing a trouble free tool prepared by using different standardized manuals of medicines in different countries for usage of the most complicated drug like Warfarin. She has published several research papers in renowned international journals and conferences. Presently she is associated with Singapore Polyclinic, Singapore.Her area of interest is AI, ML and intelligent data analytics application in healthcare, monitoring, prediction, forecasting, detection & diagnosis where she believes that it’s a data driven world with stockpile of database in the industry which is to be used to extract value to make better informed, more accurate decisions in diagnosis, management and better outcomes in industry care. Simply throwing the numbers by analyzing any data has zero value; therefore she has produced narratives using data for decision making. She has been doing research study by spotting patterns in data and setting up infrastructure in the real-time industrial monitoring domain.
Jafar A. Alzubi is Associate Professor atAl-Balqa Applied University, School of Engineering, Jordan. He received Ph.D. degree in Advanced Telecommunications from Swansea University, Swansea, UK (2012), Master of Science degree (Hons.) in Electrical and Computer Engineering from New York Institute of Technology, New York, USA (2005), And Bachelor of Science degree (Hons.) in Electrical Engineering, majoring in Electronics and Communications, from the University of Engineering and Technology, Lahore, Pakistan (2001). Jafar works and researches in multi- and interdisciplinary environment involving machine learning, classifications and detection of Web scams, the Internet of things, wireless sensor networks, cryptography and using Algebraic–Geometric theory in channel coding for wireless networks. As part of his research, he designed the first regular and first irregular block turbo codes using Algebraic–Geometry codes and investigated their performance across various computer and wireless networks. He managed and directed few projects funded by the European Union. He has a cumulative research experience for over ten years, resulted in publishing more than forty papers in highly impacted journals.Currently, he is serving as Editor for IEEE Access Journal and wireless sensor networks area Editor for Turkish Journal of Electrical Engineering and Computer Sciences. In addition, he is Editorial Board Member and Reviewer in many other prestigious journals in computer engineering and science field. He also managed several special issues in high impacted journals.
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