Machine Learning and AI for Healthcare

Written By Arjun Panesar
Machine Learning and AI for Healthcare
  • Publsiher : Apress
  • Release : 04 February 2019
  • ISBN : 1484237994
  • Pages : 368 pages
  • Rating : 4/5 from 1 reviews
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Download or read book entitled Machine Learning and AI for Healthcare by author: Arjun Panesar which was release on 04 February 2019 and published by Apress with total page 368 pages . This book available in PDF, EPUB and Kindle Format. Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges. You’ll discover the ethical implications of healthcare data analytics and the future of AI in population and patient health optimization. You’ll also create a machine learning model, evaluate performance and operationalize its outcomes within your organization. Machine Learning and AI for Healthcare provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of AI applications. These are illustrated through leading case studies, including how chronic disease is being redefined through patient-led data learning and the Internet of Things. What You'll Learn Gain a deeper understanding of key machine learning algorithms and their use and implementation within wider healthcare Implement machine learning systems, such as speech recognition and enhanced deep learning/AI Select learning methods/algorithms and tuning for use in healthcare Recognize and prepare for the future of artificial intelligence in healthcare through best practices, feedback loops and intelligent agents Who This Book Is For Health care professionals interested in how machine learning can be used to develop health intelligence – with the aim of improving patient health, population health and facilitating significant care-payer cost savings.

Machine Learning and AI for Healthcare

Machine Learning and AI for Healthcare
  • Author : Arjun Panesar
  • Publisher : Apress
  • Release Date : 2019-02-04
  • Total pages : 368
  • ISBN : 1484237994
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Summary : Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges. You’ll discover the ethical implications of healthcare data analytics and the future ...

Machine Learning for Healthcare Analytics Projects

Machine Learning for Healthcare Analytics Projects
  • Author : Eduonix Learning Solutions
  • Publisher : Packt Publishing Ltd
  • Release Date : 2018-10-30
  • Total pages : 134
  • ISBN : 1484237994
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Summary : Create real-world machine learning solutions using NumPy, pandas, matplotlib, and scikit-learn Key Features Develop a range of healthcare analytics projects using real-world datasets Implement key machine learning algorithms using a range of libraries from the Python ecosystem Accomplish intermediate-to-complex tasks by building smart AI applications using neural network methodologies Book ...

Deep Learning for Medical Image Analysis

Deep Learning for Medical Image Analysis
  • Author : S. Kevin Zhou,Hayit Greenspan,Dinggang Shen
  • Publisher : Academic Press
  • Release Date : 2017-01-18
  • Total pages : 458
  • ISBN : 1484237994
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Summary : Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core ...

Deep Learning and Edge Computing Solutions for High Performance Computing

Deep Learning and Edge Computing Solutions for High Performance Computing
  • Author : A. Suresh,Sara Paiva
  • Publisher : Springer
  • Release Date : 2021-02-20
  • Total pages : 396
  • ISBN : 1484237994
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Summary : This book provides an insight into ways of inculcating the need for applying mobile edge data analytics in bioinformatics and medicine. The book is a comprehensive reference that provides an overview of the current state of medical treatments and systems and offers emerging solutions for a more personalized approach to ...

Deep Learning in Healthcare

Deep Learning in Healthcare
  • Author : Yen-Wei Chen,Lakhmi C. Jain
  • Publisher : Springer Nature
  • Release Date : 2019-11-18
  • Total pages : 218
  • ISBN : 1484237994
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Summary : This book provides a comprehensive overview of deep learning (DL) in medical and healthcare applications, including the fundamentals and current advances in medical image analysis, state-of-the-art DL methods for medical image analysis and real-world, deep learning-based clinical computer-aided diagnosis systems. Deep learning (DL) is one of the key techniques of ...

Machine Learning for Health Informatics

Machine Learning for Health Informatics
  • Author : Andreas Holzinger
  • Publisher : Springer
  • Release Date : 2016-12-10
  • Total pages : 481
  • ISBN : 1484237994
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Summary : 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 ...

Demystifying Big Data Machine Learning and Deep Learning for Healthcare Analytics

Demystifying Big Data  Machine Learning  and Deep Learning for Healthcare Analytics
  • Author : Pradeep N,Sandeep Kautish,Sheng-Lung Peng
  • Publisher : Academic Press
  • Release Date : 2021-06-25
  • Total pages : 372
  • ISBN : 1484237994
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Summary : Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization, especially in clinical healthcare. Various techniques, methodologies, and algorithms are presented in this book to organize data in a structured manner that will assist physicians in the care of patients and help ...

Machine Learning for Healthcare Applications

Machine Learning for Healthcare Applications
  • Author : Sachi Nandan Mohanty,G. Nalinipriya,Om Prakash Jena,Achyuth Sarkar
  • Publisher : John Wiley & Sons
  • Release Date : 2021-05-04
  • Total pages : 416
  • ISBN : 1484237994
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Summary : When considering the idea of using machine learning in healthcare, it is a Herculean task to present the entire gamut of information in the field of intelligent systems. It is, therefore the objective of this book to keep the presentation narrow and intensive. This approach is distinct from others in ...

Deep Learning for Precision Diagnosis Surgery

Deep Learning for Precision Diagnosis   Surgery
  • Author : Vivek S. Jagadale
  • Publisher : Notion Press
  • Release Date : 2020-04-15
  • Total pages : 96
  • ISBN : 1484237994
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Summary : Artificial intelligence, smart applications, and virtual assistants are now revolutionizing every area of our lives, including healthcare delivery. This book introduces readers to the latest technological advances in the emerging field of augmented clinical care, machine learning for early diagnosis, and artificial intelligence-assisted precision surgery with orthopedics as a leading ...

Deep Learning for Health Tech

Deep Learning for Health Tech
  • Author : Aileen Nielsen
  • Publisher : Unknown
  • Release Date : 2017
  • Total pages : 212
  • ISBN : 1484237994
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Summary : "Neural networks have been widely adopted across many industries as the ultimate pattern recognition tool. While their current uses in healthcare are limited, neural networks have a promising future in diagnostic and decision making applications, because of their ability to mimic--and improve on--human capabilities in health-related advice and treatment. This ...

Machine Learning in Medicine a Complete Overview

Machine Learning in Medicine   a Complete Overview
  • Author : Ton J. Cleophas,Aeilko H. Zwinderman
  • Publisher : Springer
  • Release Date : 2016-10-09
  • Total pages : 516
  • ISBN : 1484237994
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Summary : The current book is the first publication of a complete overview of machine learning methodologies for the medical and health sector. It was written as a training companion and as a must-read, not only for physicians and students, but also for any one involved in the process and progress of ...

Machine Learning with Health Care Perspective

Machine Learning with Health Care Perspective
  • Author : Vishal Jain,Jyotir Moy Chatterjee
  • Publisher : Springer Nature
  • Release Date : 2020-03-09
  • Total pages : 415
  • ISBN : 1484237994
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Summary : This unique book introduces a variety of techniques designed to represent, enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. Providing a unique compendium of current and emerging machine learning paradigms for healthcare informatics, it reflects the diversity, complexity, and the depth and breadth of this multi-disciplinary ...

Demystifying Big Data and Machine Learning for Healthcare

Demystifying Big Data and Machine Learning for Healthcare
  • Author : Prashant Natarajan,John C. Frenzel,Detlev H. Smaltz
  • Publisher : CRC Press
  • Release Date : 2017-02-15
  • Total pages : 210
  • ISBN : 1484237994
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Summary : Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability ...

Technical Advancements of Machine Learning in Healthcare

Technical Advancements of Machine Learning in Healthcare
  • Author : Hrudaya Kumar Tripathy
  • Publisher : Springer Nature
  • Release Date : 2021-06-21
  • Total pages : 212
  • ISBN : 1484237994
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Summary : Read online Technical Advancements of Machine Learning in Healthcare written by Hrudaya Kumar Tripathy, published by Springer Nature which was released on . Download full Technical Advancements of Machine Learning in Healthcare Books now! Available in PDF, ePub and Kindle....

Deep Learning Techniques for Biomedical and Health Informatics

Deep Learning Techniques for Biomedical and Health Informatics
  • Author : Sujata Dash,Biswa Ranjan Acharya,Mamta Mittal,Ajith Abraham,Arpad Kelemen
  • Publisher : Springer
  • Release Date : 2019-11-25
  • Total pages : 383
  • ISBN : 1484237994
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Summary : 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 ...