Delivery: Can be download immediately after purchasing. For new customer, we need process for verification from 30 mins to 12 hours.
Version: PDF/EPUB. If you need EPUB and MOBI Version, please contact us.
Compatible Devices: Can be read on any devices.
Machine Learning in Healthcare
Fundamentals and Recent Applications
Artificial intelligence (AI) and machine learning (ML) techniques play an important role in our daily lives by enhancing predictions and decision-making for the public in several fields such as financial services, real estate business, consumer goods, social media, etc. Despite several studies that have proved the efficacy of AI/ML tools in providing improved healthcare solutions, it has not gained the trust of health-care practitioners and medical scientists. This is due to poor reporting of the technology, variability in medical data, small datasets, and lack of standard guidelines for application of AI. Therefore, the development of new AI/ML tools for various domains of medicine is an ongoing field of research. Machine Learning in Healthcare: Fundamentals and Recent Applications discusses how to build various ML algorithms and how they can be applied to improve healthcare systems. Healthcare applications of AI are innumerable: medical data analysis, early detection and diagnosis of disease, providing objective-based evidence to reduce human errors, curtailing inter- and intra-observer errors, risk identification and interventions for healthcare management, real-time health monitoring, assisting clinicians and patients for selecting appropriate medications, and evaluating drug responses. Extensive demonstrations and discussion on the various principles of machine learning and its application in healthcare is provided, along with solved examples and exercises. This text is ideal for readers interested in machine learning without any background knowledge and looking to implement machine-learning models for healthcare systems.
This is a digital product.
Additional ISBNs
9780367564421, 9780367564438, 9781003097808, 9781000540376
Machine Learning in Healthcare: Fundamentals and Recent Applications 1st Edition is written by Bikesh Kumar Singh; G.R. Sinha and published by CRC Press. The Digital and eTextbook ISBNs for Machine Learning in Healthcare are 9781000540406, 1000540405 and the print ISBNs are 9781032728377, 103272837X. Additional ISBNs for this eTextbook include 9780367564421, 9780367564438, 9781003097808, 9781000540376.

Rethinking Modernity: Between the local and the International eBook
Discipline Over Punishment eBook
Above the Fold, Revised Edition eBook
Network Security Essentials eBook
Microsoft Office Publisher 2007 Step by Step eBook
Heritage of World Civilizations, The, Volume 2 eBook
Microsoft Office Access 2007 Step by Step eBook
Human–Computer Interaction eBook
Microsoft Office Excel 2007 Visual Basic for Applications Step by Step eBook
Access 2007 eBook
Visible Learning for Mathematics, Grades K-12: What Works Best to Optimize Student Learning eBook
Aquaculture Engineering eBook
Invitation to Public Speaking Handbook eBook
Dynamics 365 for Finance and Operations Development Cookbook - Fourth Edition eBook
The Complete Project Management Office Handbook eBook
Marketing 2018, Loose-Leaf Version eBook
Word 2007 eBook
South-Western Federal Taxation 2019: Essentials of Taxation: Individuals and Business Entities eBook
One Robe, One Bowl eBook
Research Handbook on International Law and Cyberspace eBook
Japan's International Fisheries Policy: Law, Diplomacy and Politics Governing Resource Security eBook
Brown Trout: Biology, Ecology and Management eBook
Cultivo de Maconha: O Guia para o Cultivo Indoor de Maconha para Uso Medicinal e Pessoal eBook
Multimedia Psychotherapy: A Psychodynamic Approach for Mourning in the Technological Age
Introduction to Physical Oceanography eBook
ggplot2 eBook
Information Technology for Management: On Demand Strategies for Performance, Growth and Sustainability, Enhanced eText eBook
Statistics: Unlocking the Power of Data, Enhanced eText 2nd edition eBook
Building Codes Illustrated: A Guide to Understanding the 2015 International Building Code eBook
Gardner's Art through the Ages: A Global History, Volume I eBook
Microsoft Office - Integration eBook
Whole Again eBook
Modern Fisheries Engineering: Realizing a Healthy and Sustainable Marine Ecosystem eBook
JMP Essentials eBook
Advances in Cognitive Information Systems eBook
Precision Machining Technology, 3rd Edition eBook
Horngren's Financial & Managerial Accounting eBook
Lakeside Company eBook
Using R for Modelling and Quantitative Methods in Fisheries eBook
Excel 2007 eBook
SuperVision and Instructional Leadership eBook
Language and Connection in Psychotherapy: Words Matter eBook
STAT2: Modeling with Regression and ANOVA eBook
Locating and Correcting Reading Difficulties, 10th Edition eBook
Piano for the Developing Musician, Media Update eBook
Handbook of Scheduling eBook
Formulas and Calculations for Drilling, Production and Workover eBook
The Microbiome Solution eBook
Language Learner Strategies - Oxford Applied Linguistics eBook
Object Relations Brief Therapy: The Therapeutic Relationship in Short-Term Work eBook
Bring Your Own Devices (BYOD) Survival Guide eBook
Broad Band eBook
New Perspectives Microsoft Office 365 & Access 2016: Comprehensive eBook
108 Pearls to Awaken Your Healing Potential eBook
Career Development: A human resource development perspective eBook
Investments: Analysis and Management eBook
Art of Self Invention eBook
Everything Happens for a Reason eBook
Shelly Cashman Series Microsoft Office 365 & Access 2016: Comprehensive eBook
Essentials of Business Communication eBook
Medical Assistant Exam Prep eBook
Our Bodies, Our Data eBook 


Reviews
There are no reviews yet.