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Advanced Machine Learning Approaches in Cancer Prognosis

This book introduces a variety of advanced machine learning approaches covering the areas of neural networks, fuzzy logic, and hybrid;

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Breast Cancer

strategies Examining new developments, Breast Cancer: Prognosis, Treatment, and Prevention, Second Edition also covers;

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Immunoinformatics of Cancers

Immunoinformatics of Cancers: Practical Machine Learning Approaches Using R takes a bioinformatics approach to understanding and;

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Management of High Grade Bladder Cancer: A Multidisciplinary Approach, An Issue of Urologic Clinics

therapeutic approaches for recurrent nonmuscle invasive bladder cancer; Trimodality therapy in bladder cancer; the data and the reality;

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The Essentials of Machine Learning in Finance and Accounting

assets and markets and correlates them with enterprises' profitability * Introduces advanced and novel machine learning techniques in finance;

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The Essentials of Machine Learning in Finance and Accounting

assets and markets and correlates them with enterprises' profitability * Introduces advanced and novel machine learning techniques in finance;

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Machine Learning and Knowledge Discovery for Engineering Systems Health Management

data streams and associated performance metrics. It also illustrates the analysis of text reports using novel machine learning approaches that;

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Precision Molecular Pathology of Prostate Cancer

prostate cancer; (3) Molecular signatures of advanced prostate cancer; (4) Key molecular pathways in prostate cancer development and progression;

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Artificial Intelligence and Deep Learning in Pathology

computer vision to interpret electrocardiograms, identifying mitoses in cancer using learning algorithms vs. signal processing algorithms, and many;

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Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough

This book discusses various machine learning & cognitive science approaches, presenting high-throughput research by experts in this area;

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Metaheuristics in Machine Learning

This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered;

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Machine Learning for Finance

emphasis on financial applications Deep coverage of advanced machine learning approaches including neural networks, GANs, and reinforcement;

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Technical Advancements of Machine Learning in Healthcare

This book focuses on various advanced technologies which integrate with machine learning to assist one of the most leading industries;

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Obesity & Cancer Research

person's prognosis (chance of recovery). For example, obese men are more likely to be diagnosed with advanced prostate cancer, have a recurrence;

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Biosensor Based Advanced Cancer Diagnostics

diagnosis of diseases. Biosensor Based Advanced Cancer Diagnostics covers all available biosensor-based approaches and comprehensive technologies;

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Artificial Intelligence and Machine Learning , An Issue of Neuroimaging Clinics of North America

of Machine Learning Part 1: Classic Approaches; Overview of Machine Learning Part 2: Artificial Neural Networks & Deep Learning; Overview of Natural;

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Machine Learning - A Comprehensive, Step-by-Step Guide to Learning and Applying Advanced Concepts and Techniques in Machine Learning

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Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches

today. This book focuses on the implementation of various elementary and advanced approaches in AI that can be used in various domains to solve;

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Machine Learning Foundations

This book provides conceptual understanding of machine learning algorithms though supervised, unsupervised, and advanced learning;

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Computational Systems Biology Approaches in Cancer Research

and timely topics for research and teaching on computational methods in cancer research. It covers a broad variety of approaches, exposes;

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Computational Systems Biology Approaches in Cancer Research

important and timely topics for research and teaching on computational methods in cancer research. It covers a broad variety of approaches, exposes;

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Machine Learning in Healthcare

covers fundamental concepts including mathematical requisites and traditional machine-learning framework followed by advanced machine-learning;

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Predicting Lung Cancer Using Machine Learning Techniques

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Adenocarcinoma

; castration resistant prostate cancer; feline endometrial and canine cutaneous adencarcinoma and advanced, unresectable adenocarcinoma of the;

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Condition Monitoring with Vibration Signals

improvements in accuracy with reduced computational costs Features learning algorithms that can be used for fault diagnosis and prognosis Includes;

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Machine Learning on Geographical Data Using Python

in Python. Use cases and examples are included. The book also focuses on applying more advanced machine learning approaches to geographical data and;

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Thinking Machines

, explaining how to design through ASIC and FPGA approaches for target machine learning models Surveys current trends and models;

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