Predictive Modeling in Biomedical Data Mining and Analysis

This book PDF is perfect for those who love Science genre, written by Sudipta Roy and published by Academic Press which was released on 28 August 2022 with total hardcover pages 346. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Predictive Modeling in Biomedical Data Mining and Analysis books below.

Predictive Modeling in Biomedical Data Mining and Analysis
Author : Sudipta Roy
File Size : 44,9 Mb
Publisher : Academic Press
Language : English
Release Date : 28 August 2022
ISBN : 9780323914451
Pages : 346 pages
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Predictive Modeling in Biomedical Data Mining and Analysis by Sudipta Roy Book PDF Summary

Predictive Modeling in Biomedical Data Mining and Analysis presents major technical advancements and research findings in the field of machine learning in biomedical image and data analysis. The book examines recent technologies and studies in preclinical and clinical practice in computational intelligence. The authors present leading-edge research in the science of processing, analyzing and utilizing all aspects of advanced computational machine learning in biomedical image and data analysis. As the application of machine learning is spreading to a variety of biomedical problems, including automatic image segmentation, image classification, disease classification, fundamental biological processes, and treatments, this is an ideal reference. Machine Learning techniques are used as predictive models for many types of applications, including biomedical applications. These techniques have shown impressive results across a variety of domains in biomedical engineering research. Biology and medicine are data-rich disciplines, but the data are complex and often ill-understood, hence the need for new resources and information. Includes predictive modeling algorithms for both Supervised Learning and Unsupervised Learning for medical diagnosis, data summarization and pattern identification Offers complete coverage of predictive modeling in biomedical applications, including data visualization, information retrieval, data mining, image pre-processing and segmentation, mathematical models and deep neural networks Provides readers with leading-edge coverage of biomedical data processing, including high dimension data, data reduction, clinical decision-making, deep machine learning in large data sets, multimodal, multi-task, and transfer learning, as well as machine learning with Internet of Biomedical Things applications

Predictive Modeling in Biomedical Data Mining and Analysis

Predictive Modeling in Biomedical Data Mining and Analysis presents major technical advancements and research findings in the field of machine learning in biomedical image and data analysis. The book examines recent technologies and studies in preclinical and clinical practice in computational intelligence. The authors present leading-edge research in the science

Get Book
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