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Outcome Prediction in Cancer

2006-11-28 Computers
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Release : 2006-11-28
Genre : Computers
Kind : eBook
Book Rating : 039/5 ( reviews)

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Book Synopsis Outcome Prediction in Cancer by : Azzam F.G. Taktak

Download or read book Outcome Prediction in Cancer written by Azzam F.G. Taktak. This book was released on 2006-11-28. Available in PDF, EPUB and Kindle. Book excerpt: This book is organized into 4 sections, each looking at the question of outcome prediction in cancer from a different angle. The first section describes the clinical problem and some of the predicaments that clinicians face in dealing with cancer. Amongst issues discussed in this section are the TNM staging, accepted methods for survival analysis and competing risks. The second section describes the biological and genetic markers and the rôle of bioinformatics. Understanding of the genetic and environmental basis of cancers will help in identifying high-risk populations and developing effective prevention and early detection strategies. The third section provides technical details of mathematical analysis behind survival prediction backed up by examples from various types of cancers. The fourth section describes a number of machine learning methods which have been applied to decision support in cancer. The final section describes how information is shared within the scientific and medical communities and with the general population using information technology and the World Wide Web. * Applications cover 8 types of cancer including brain, eye, mouth, head and neck, breast, lungs, colon and prostate* Include contributions from authors in 5 different disciplines* Provides a valuable educational tool for medical informatics

Outcome Prediction in Head and Neck Cancer Patients Using Machine Learning Methods

2014 Head
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Release : 2014
Genre : Head
Kind : eBook
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Book Synopsis Outcome Prediction in Head and Neck Cancer Patients Using Machine Learning Methods by : David John Dellsperger

Download or read book Outcome Prediction in Head and Neck Cancer Patients Using Machine Learning Methods written by David John Dellsperger. This book was released on 2014. Available in PDF, EPUB and Kindle. Book excerpt: Head and Neck cancers account for approximately 3.2% of the estimated 1,660,290 new cancer cases for the year 2013 and roughly 1.9% of cancer-related deaths in 2013. In this research, machine learning techniques were employed to predict outcome in cancer patients supporting more objective assessment of the treatments, including surgery, radiation therapy, or chemotherapy. Selection of features capable of distinguishing between the possible outcomes was accomplished by using a highly selective cohort of 61 patients with similar treatment and location of the primary tumor. An accuracy of 80.33% (compared to a baseline majority classifier of 60.66%) was achieved utilizing this cohort. Further, it is shown that this limited cohort has the power to provide valuable information on outcome prediction utilizing as few as four features. Feature selection was drawn from both clinical features and quantitative imaging features including the site of cancer, primary tumor volume, and race.

Prediction of Cancer Patient Outcomes Based on Artificial Intelligence

2019 Computers
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Release : 2019
Genre : Computers
Kind : eBook
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Book Synopsis Prediction of Cancer Patient Outcomes Based on Artificial Intelligence by : Suk Lee

Download or read book Prediction of Cancer Patient Outcomes Based on Artificial Intelligence written by Suk Lee. This book was released on 2019. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge-based outcome predictions are common before radiotherapy. Because there are various treatment techniques, numerous factors must be considered in predicting cancer patient outcomes. As expectations surrounding personalized radiotherapy using complex data have increased, studies on outcome predictions using artificial intelligence have also increased. Representative artificial intelligence techniques used to predict the outcomes of cancer patients in the field of radiation oncology include collecting and processing big data, text mining of clinical literature, and machine learning for implementing prediction models. Here, methods of data preparation and model construction to predict rates of survival and toxicity using artificial intelligence are described.

Cancer Outcome Prediction with Multiform Medical Data Using Deep Learning

2022
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Release : 2022
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Book Synopsis Cancer Outcome Prediction with Multiform Medical Data Using Deep Learning by : Zhuoyan Shen

Download or read book Cancer Outcome Prediction with Multiform Medical Data Using Deep Learning written by Zhuoyan Shen. This book was released on 2022. Available in PDF, EPUB and Kindle. Book excerpt:

Cancer Prediction for Industrial IoT 4.0

2021-12-31 Computers
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Release : 2021-12-31
Genre : Computers
Kind : eBook
Book Rating : 668/5 ( reviews)

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Book Synopsis Cancer Prediction for Industrial IoT 4.0 by : Meenu Gupta

Download or read book Cancer Prediction for Industrial IoT 4.0 written by Meenu Gupta. This book was released on 2021-12-31. Available in PDF, EPUB and Kindle. Book excerpt: Cancer Prediction for Industrial IoT 4.0: A Machine Learning Perspective explores various cancers using Artificial Intelligence techniques. It presents the rapid advancement in the existing prediction models by applying Machine Learning techniques. Several applications of Machine Learning in different cancer prediction and treatment options are discussed, including specific ideas, tools and practices most applicable to product/service development and innovation opportunities. The wide variety of topics covered offers readers multiple perspectives on various disciplines. Features • Covers the fundamentals, history, reality and challenges of cancer • Presents concepts and analysis of different cancers in humans • Discusses Machine Learning-based deep learning and data mining concepts in the prediction of cancer • Offers real-world examples of cancer prediction • Reviews strategies and tools used in cancer prediction • Explores the future prospects in cancer prediction and treatment Readers will learn the fundamental concepts and analysis of cancer prediction and treatment, including how to apply emerging technologies such as Machine Learning into practice to tackle challenges in domains/fields of cancer with real-world scenarios. Hands-on chapters contributed by academicians and other professionals from reputed organizations provide and describe frameworks, applications, best practices and case studies on emerging cancer treatment and predictions. This book will be a vital resource to graduate students, data scientists, Machine Learning researchers, medical professionals and analytics managers.

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