Big Data Analytics and Machine Intelligence in Bio medical and Health Informatics

[LeeAndro]

English | 2022 | ISBN: 1119791731 | 350 pages | True PDF | 16.91 MB

BIG DATA ANALYTICS AND MACHINE INTELLIGENCE IN BIOMEDICAL AND HEALTH INFORMATICS

Provides coverage of developments and state-of-the-art methods in the broad and diversified data analytics field and applicable areas such as big data analytics, data mining, and machine intelligence in biomedical and health informatics.

The novel applications of Big Data Analytics and machine intelligence in the biomedical and healthcare sector is an emeg field comprising computer science, medicine, biology, natural environmental eeering, and pattern recognition. Biomedical and health informatics is a new era that brings tremendous opportunities and challenges due to the plentifully available biomedical data and the aim is to ensure high-quality and efficient healthcare by analyzing the data.

The 12 chapters inBig Data Analytics and Machine Intelligence in Biomedical and Health Informaticscover the latest advances and developments in health informatics, data mining, machine learning, and artificial intelligence. They have been organized with respect to the similarity of topics addressed, rag from issues pertaining to the Internet of Things (IoT) for biomedical eeering and health informatics, computational intelligence for medical data processing, and Internet of Medical Things(IoMT).

New researchers and practitioners working in the field will benefit from reading the book as they can quickly ascertain the best perfog methods and compare the different approaches.

Audience

Researchers and practitioners working in the fields of biomedicine, health informatics, big data analytics, Internet of Things, and machine learning.



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