Price loading...

Green AI-Powered Intelligent Systems for Disease Prognosis

AI & Machine Learning

Price data last checked 108 day(s) ago - refreshing...

View at Amazon

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

Experts in Medicine are under new pressures of advancing their studies while also reducing the impact they leave on the environment. Researchers within the fields of bio-neuro informatics, healthcare, engineering, and medical sciences require a dynamic platform that bridges the realms of academia, science, industry, and innovation. Green AI-Powered Intelligent Systems for Disease Prognosis facilitates a crossroads for a diverse audience interested in these two seldom coalesced concepts. Academicians, scientists, researchers, professionals, decision-makers, and even aspiring scholars all find a space to contribute, collaborate, and learn within the platform that this book provides. The book's thematic coverage is unequivocally compelling; by exploring the intersections of bio-neuro informatics, healthcare, engineering, and medical sciences, it captures the spirit of interdisciplinary research. It delves into well-established domains while also casting a spotlight on emerging trends that have the potential to reshape our understanding of these fields. Two prominent tracks form the backbone of the book's content. The first covers the Bioinformatics and Data Mining of Biological Data (BiDMBD), and unravels the intricacies of biomedical computation, signal analysis, clinical decision support, and health data mining. This approach holds a treasure trove of insights into the mechanisms of health data acquisition, clinical informatics, and the representation of healthcare knowledge. The second covers Biomedical Informatics and is a symposium of computational modeling, genomics, and proteomics. Here, the fusion of data science with medical sciences takes center stage. This track's journey traverses machine learning, pattern recognition, and cutting-edge applications in bioinformatics. From gene expression array analysis to translational bioinformatics, it maps the transformative potential of data-driven medical research. In a world where sustainability and innovation intersect, the notion of Green AI-Powered Intelligent Systems for Disease Prognosis underscores an eco-conscious approach to technology. This holistic perspective encapsulates not only the advancement of healthcare technologies but also their harmonization with nature. This forward-looking ethos is an overarching theme that binds the various tracks and topics explored in the book.

Product Specifications

Format: hardcover
ASIN: B0CHMQZXPK
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 23 August 2024
Listed Since: 08 September 2023

Barcode

No barcode data available

Green AI-Powered Intelligent Systems for Disease Prognosis

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

AI-Driven Innovations in Digital Healthcare: Emerging Trends, Challenges, and Applications

AI and IoT-Based Technologies for Precision Medicine

Future of AI in Biomedicine and Biotechnology

Tracking and Preventing Diseases with Artificial Intelligence: 206 (Intelligent Systems Reference Library, 206)

Artificial Intelligence in Healthcare and COVID-19 (Intelligent Data-Centric Systems)

Academic Press - Predictive Modeling in Biomedical Data Mining

Artificial Intelligence and Big Data Analytics for Smart Healthcare (Next Generation Technology Driven Personalized Medicine And Smart Healthcare)

AI-Driven Innovation in Healthcare Data Analytics

Big Data Analytics in Bioinformatics and Healthcare

Emerging Advancements in AI and Big Data Technologies in Business and Society

Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19

Health Informatics: A Computational Perspective in Healthcare: 932 (Studies in Computational Intelligence, 932)

Data Science and Predictive Analytics: Biomedical and Health Applications using R (The Springer Series in Applied Machine Learning)

Translational Bioinformatics in Healthcare and Medicine: Volume 13 (Advances in ubiquitous sensing applications for healthcare, Volume 13)

Green Industrial Applications of Artificial Intelligence and Internet of Things

Computational Intelligence for Genomics Data (Advances in Biomedical Informatics)

Springer Health Informatics: A Computational Perspective 932

Data Science and Predictive Analytics: Biomedical and Health Applications using R (The Springer Series in Applied Machine Learning)

Bioinformatics and Medical Applications: Big Data Using Deep Learning Algorithms

Machine Learning and Generative AI in Smart Healthcare

Academic Press - Leveraging Artificial Intelligence in Global Epidemics

Wiley Computational Intelligence and Healthcare Informatics Book

Intelligence-Based Medicine: Artificial Intelligence and Human Cognition in Clinical Medicine and Healthcare

Computation in BioInformatics: Multidisciplinary Applications