Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning

This book PDF is perfect for those who love Medical genre, written by Rani, Geeta and published by IGI Global which was released on 16 October 2020 with total hardcover pages 586. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning books below.

Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning
Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning
Author : Rani, Geeta
File Size : 48,5 Mb
Publisher : IGI Global
Language : English
Release Date : 16 October 2020
ISBN : 9781799827436
Pages : 586 pages
Get Book

Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning by Rani, Geeta Book PDF Summary

By applying data analytics techniques and machine learning algorithms to predict disease, medical practitioners can more accurately diagnose and treat patients. However, researchers face problems in identifying suitable algorithms for pre-processing, transformations, and the integration of clinical data in a single module, as well as seeking different ways to build and evaluate models. The Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning is a pivotal reference source that explores the application of algorithms to making disease predictions through the identification of symptoms and information retrieval from images such as MRIs, ECGs, EEGs, etc. Highlighting a wide range of topics including clinical decision support systems, biomedical image analysis, and prediction models, this book is ideally designed for clinicians, physicians, programmers, computer engineers, IT specialists, data analysts, hospital administrators, researchers, academicians, and graduate and post-graduate students.

Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning

Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning by Rani, Geeta,Tiwari, Pradeep Kumar

By applying data analytics techniques and machine learning algorithms to predict disease, medical practitioners can more accurately diagnose and treat patients. However, researchers face problems in identifying suitable algorithms for pre-processing, transformations, and the integration of clinical data in a single module, as well as seeking different ways to build

Get Book
Handbook of Research on Machine Learning

Handbook of Research on Machine Learning by Monika Mangla,Subhash K. Shinde,Vaishali Mehta,Nonita Sharma,Sachi Nandan Mohanty

This volume takes the reader on a technological voyage of machine learning advancements, highlighting the systematic changes in algorithms, challenges, and constraints. The technological advancements in the ML arena have transformed and revolutionized several fields, including transportation, agriculture, finance, weather monitoring, and others. This book brings together researchers, authors, industrialists,

Get Book
Machine Learning and Data Analytics for Predicting Managing and Monitoring Disease

Machine Learning and Data Analytics for Predicting Managing and Monitoring Disease by Roy, Manikant,Gupta, Lovi Raj

Data analytics is proving to be an ally for epidemiologists as they join forces with data scientists to address the scale of crises. Analytics examined from many sources can derive insights and be used to study and fight global outbreaks. Pandemic analytics is a modern way to combat a problem

Get Book
Disease Prediction using Machine Learning Deep Learning and Data Analytics

Disease Prediction using Machine Learning Deep Learning and Data Analytics by Geeta Rani, Vijaypal Singh Dhaka, Pradeep Kumar Tiwari

This book is a comprehensive review of technologies and data in healthcare services. It features a compilation of 10 chapters that inform readers about the recent research and developments in this field. Each chapter focuses on a specific aspect of healthcare services, highlighting the potential impact of technology on enhancing practices

Get Book
Handbook of Research on Engineering Business and Healthcare Applications of Data Science and Analytics

Handbook of Research on Engineering Business and Healthcare Applications of Data Science and Analytics by Patil, Bhushan,Vohra, Manisha

Analyzing data sets has continued to be an invaluable application for numerous industries. By combining different algorithms, technologies, and systems used to extract information from data and solve complex problems, various sectors have reached new heights and have changed our world for the better. The Handbook of Research on Engineering,

Get Book
Implementation of Machine Learning Algorithms Using Control Flow and Dataflow Paradigms

Implementation of Machine Learning Algorithms Using Control Flow and Dataflow Paradigms by Milutinovi?, Veljko,Miti?, Nenad,Kartelj, Aleksandar,Kotlar, Miloš

Based on current literature and cutting-edge advances in the machine learning field, there are four algorithms whose usage in new application domains must be explored: neural networks, rule induction algorithms, tree-based algorithms, and density-based algorithms. A number of machine learning related algorithms have been derived from these four algorithms. Consequently,

Get Book
Handbook of Research on Advancements in Cancer Therapeutics

Handbook of Research on Advancements in Cancer Therapeutics by Kumar, Sumit,Rizvi, Moshahid Alam,Verma, Saurabh

The complexity of cancer demands an integrated approach from both a cancer biology standpoint and a pharmaceutical basis to understand the different anticancer modalities. Current research has been focused on conventional and newer anticancer modalities, recent discoveries in cancer research, and also the advancements in cancer treatment. There is a

Get Book
Handbook of Research on Entrepreneurship Innovation Sustainability and ICTs in the Post COVID 19 Era

Handbook of Research on Entrepreneurship Innovation Sustainability and ICTs in the Post COVID 19 Era by Carvalho, Luisa Cagica,Reis, Leonilde,Silveira, Clara

ICT has had a huge impact on businesses and organizations in general, with new business models, new marketing channels, and new markets being reached using these technologies. ICT can promote new strategies and enhancers to optimize various aspects of business, but this technology also provides important tools that can empower

Get Book