outcome prediction in cancer

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Outcome Prediction in Cancer
Author :
Publisher : Elsevier
Release Date :
ISBN 10 : 9780080468037
Pages : 482 pages
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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 Cancer

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

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

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

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Comprehensive Evaluation Composite Gene Features in Cancer Outcome Prediction

There have been extensive studies of classification and prediction of cancer outcome with composite gene features that combine functionally related genes together as a single feature to improve the classification and prediction accuracy. Various algorithms have been proposed for feature extraction, feature activity inference, and feature selection, which all claim

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Improving Breast Cancer Outcome Prediction by Combining Multiple Data Sources

Download or read online Improving Breast Cancer Outcome Prediction by Combining Multiple Data Sources written by Martinus Hendrikus van Vliet, published by Unknown which was released on 2010. Get Improving Breast Cancer Outcome Prediction by Combining Multiple Data Sources Books now! Available in PDF, ePub and Kindle.

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Comparison of Diverse Genomic Data for Outcome Prediction in Cancer

"Background. In cancer, large-scale technologies such as next-generation sequencing and microarrays have produced a wide number of genomic features such as DNA copy number alterations (CNA), mRNA expression (EXPR), microRNA expression (MIRNA), and DNA somatic mutations (MUT), among others. Several analyses of a specific type of these genomic data have

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Identification of DNA Methylation Biomarkers for Disease Outcome Prediction of Esophageal Cancer and Lung Cancer

Download or read online Identification of DNA Methylation Biomarkers for Disease Outcome Prediction of Esophageal Cancer and Lung Cancer written by 郭懿瑩, published by Unknown which was released on 2014. Get Identification of DNA Methylation Biomarkers for Disease Outcome Prediction of Esophageal Cancer and Lung Cancer Books now! Available in PDF, ePub

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From Correlation to Casuality

Download or read online From Correlation to Casuality written by Janine Roy, published by Unknown which was released on 2014. Get From Correlation to Casuality Books now! Available in PDF, ePub and Kindle.

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Prognostic Value of Histology and Lymph Node Status in Bilharziasis Bladder Cancer  Outcome Prediction Using Neural Networks

In this paper, the evaluation of two features in predicting the outcomes of patients with bilharziasis bladder cancer has been investigated using an RBF neural network. Prior to prediction, the feature subsets were extracted from the whole set of features for the purpose of providing a high performance of the

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CT radiomics in the Context of Outcome Prediction After Chemoradio Therapy  CRT  in Cancer Patients

Download or read online CT radiomics in the Context of Outcome Prediction After Chemoradio Therapy CRT in Cancer Patients written by Jairo Andrés Socarrás Fernández, published by Unknown which was released on 2020. Get CT radiomics in the Context of Outcome Prediction After Chemoradio Therapy CRT in Cancer

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In Search of Improved Outcome Prediction of Prostate Cancer   a Biological and Clinical Approach

Download or read online In Search of Improved Outcome Prediction of Prostate Cancer a Biological and Clinical Approach written by Andrew M. Erickson, published by Unknown which was released on 2018. Get In Search of Improved Outcome Prediction of Prostate Cancer a Biological and Clinical Approach Books now! Available in PDF,

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Radiation Therapy Outcome Prediction Using Statistical Correlations   Deep Learning

"Prognosis after cancer treatment is a constant concern for physicians, patients and their surrounding friends and family. This is one of the reasons that treatment outcomes prediction is such a critical field of research. The sheer magnitude of data generated within a typical radiation oncology clinic each year facilitates the

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Procalcitonin Improves the Glasgow Prognostic Score for Outcome Prediction in Emergency Patients with Cancer

Download or read online Procalcitonin Improves the Glasgow Prognostic Score for Outcome Prediction in Emergency Patients with Cancer written by Anonim, published by Unknown which was released on 2015. Get Procalcitonin Improves the Glasgow Prognostic Score for Outcome Prediction in Emergency Patients with Cancer Books now! Available in PDF, ePub and

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Predicting Cancer Outcome

We read with interest the paper by Michiels et al on the prediction of cancer with microarrays and the commentary by Ioannidis listing the potential as well as the limitations of this approach (February 5, p 488 and 454). Cancer is a disease characterized by complex, heterogeneous mechanisms and studies to define factors

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Identification of MicroRNAs for the Prediction of Breast Cancer Treatment Outcome

Download or read online Identification of MicroRNAs for the Prediction of Breast Cancer Treatment Outcome written by Joanna Achinger-Kawecka, published by Unknown which was released on 2014. Get Identification of MicroRNAs for the Prediction of Breast Cancer Treatment Outcome Books now! Available in PDF, ePub and Kindle.

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Biomarker Discovery and Clinical Outcome Prediction Using Knowledge Based bioinformatics

Advances in high-throughput genomic and proteomic technology have led to a growing interest in cancer biomarkers. These biomarkers can potentially improve the accuracy of cancer subtype prediction and subsequently, the success of therapy. However, identification of statistically and biologically relevant biomarkers from high-throughput data can be unreliable due to the

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