Machine Learning for Health Informatics

Machine Learning for Health Informatics

Author: Andreas Holzinger

Publisher: Springer

ISBN: 9783319504780

Category: Computers

Page: 481

View: 259

Machine learning (ML) is the fastest growing field in computer science, and Health Informatics (HI) is amongst the greatest application challenges, providing future benefits in improved medical diagnoses, disease analyses, and pharmaceutical development. However, successful ML for HI needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to visualization. Tackling complex challenges needs both disciplinary excellence and cross-disciplinary networking without any boundaries. Following the HCI-KDD approach, in combining the best of two worlds, it is aimed to support human intelligence with machine intelligence. This state-of-the-art survey is an output of the international HCI-KDD expert network and features 22 carefully selected and peer-reviewed chapters on hot topics in machine learning for health informatics; they discuss open problems and future challenges in order to stimulate further research and international progress in this field.
Machine Learning for Health Informatics
Language: un
Pages: 481

Machine Learning for Health Informatics

Authors: Andreas Holzinger
Categories: Computers
Type: BOOK - Published: 2016-12-09 - Publisher: Springer

Machine learning (ML) is the fastest growing field in computer science, and Health Informatics (HI) is amongst the greatest application challenges, providing future benefits in improved medical diagnoses, disease analyses, and pharmaceutical development. However, successful ML for HI needs a concerted effort, fostering integrative research between experts ranging from diverse
Deep Learning Techniques for Biomedical and Health Informatics
Language: un
Pages: 383

Deep Learning Techniques for Biomedical and Health Informatics

Authors: Sujata Dash, Biswa Ranjan Acharya, Mamta Mittal, Ajith Abraham, Arpad Kelemen
Categories: Technology & Engineering
Type: BOOK - Published: 2019-11-25 - Publisher: Springer

This book presents a collection of state-of-the-art approaches for deep-learning-based biomedical and health-related applications. The aim of healthcare informatics is to ensure high-quality, efficient health care, and better treatment and quality of life by efficiently analyzing abundant biomedical and healthcare data, including patient data and electronic health records (EHRs), as
Deep Learning in Biomedical and Health Informatics
Language: un
Pages:

Deep Learning in Biomedical and Health Informatics

Authors: M. Jabbar
Categories: Artificial intelligence
Type: BOOK - Published: 2022 - Publisher:

"This book provides a proficient guide on the relationship between AI and healthcare and how AI is changing all aspects of the health care industry. It also covers how deep learning will help in diagnosis and prediction of disease spread"--
Deep Learning Techniques for Biomedical and Health Informatics
Language: en
Pages: 367

Deep Learning Techniques for Biomedical and Health Informatics

Authors: Dr. Basant Agarwal, Valentina E. Balas, Lakhmi C. Jain, Ramesh Chandra Poonia, Manisha Sharma
Categories: Science
Type: BOOK - Published: 2020-01-14 - Publisher: Academic Press

Deep Learning Techniques for Biomedical and Health Informatics provides readers with the state-of-the-art in deep learning-based methods for biomedical and health informatics. The book covers not only the best-performing methods, it also presents implementation methods. The book includes all the prerequisite methodologies in each chapter so that new researchers and
Handbook of Deep Learning in Biomedical Engineering and Health Informatics
Language: un
Pages:

Handbook of Deep Learning in Biomedical Engineering and Health Informatics

Authors: Golden Julie, S. M. Jaisakthi, Y. Harold Robinson
Categories: Science
Type: BOOK - Published: 2021 - Publisher:

"This new volume discusses state-of-the-art deep learning techniques and approaches that can be applied in biomedical systems and health informatics. Deep learning in the biomedical field is an effective method of collecting and analyzing data that can be used for the accurate diagnosis of disease. This volume delves into a