April 17, 2021

Download Ebook Free Outcome Prediction In Cancer

Outcome Prediction in Cancer

Outcome Prediction in Cancer
Author : Azzam F.G. Taktak,Anthony C. Fisher
Publisher : Elsevier
Release Date : 2006-11-28
Category : Computers
Total pages :482
GET BOOK

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

Comprehensive Evaluation Composite Gene Features in Cancer Outcome Prediction

Comprehensive Evaluation Composite Gene Features in Cancer Outcome Prediction
Author : Dezhi Hou
Publisher : Unknown
Release Date : 2014
Category :
Total pages :76
GET BOOK

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 to improve the prediction accuracy. However, due to the limited test data sets used by each independent study, inconsistent test procedures, and conflicting results, it is difficult to obtain a comprehensive understanding of the relative performances of these algorithms. In this study, various algorithms for the three steps in using composite features for cancer outcome prediction were implemented and an extensive comparison and evaluation were performed by applying testing to seven microarray data sets covering two cancer types and three different clinical outcomes. Also by integrating algorithms in all three different steps, we aimed to investigate how to get the best cancer prediction by using different combinations of these techniques.

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

In Search of Improved Outcome Prediction of Prostate Cancer - a Biological and Clinical Approach
Author : Andrew M. Erickson
Publisher : Unknown
Release Date : 2018
Category :
Total pages :123
GET BOOK

Decision Analytics and Optimization in Disease Prevention and Treatment

Decision Analytics and Optimization in Disease Prevention and Treatment
Author : Nan Kong
Publisher : John Wiley & Sons
Release Date : 2018-03-13
Category : Business & Economics
Total pages :432
GET BOOK

A systematic review of the most current decision models and techniques for disease prevention and treatment Decision Analytics and Optimization in Disease Prevention and Treatment offers a comprehensive resource of the most current decision models and techniques for disease prevention and treatment. With contributions from leading experts in the field, this important resource presents information on the optimization of chronic disease prevention, infectious disease control and prevention, and disease treatment and treatment technology. Designed to be accessible, in each chapter the text presents one decision problem with the related methodology to showcase the vast applicability of operations research tools and techniques in advancing medical decision making. This vital resource features the most recent and effective approaches to the quickly growing field of healthcare decision analytics, which involves cost-effectiveness analysis, stochastic modeling, and computer simulation. Throughout the book, the contributors discuss clinical applications of modeling and optimization techniques to assist medical decision making within complex environments. Accessible and authoritative, Decision Analytics and Optimization in Disease Prevention and Treatment: Presents summaries of the state-of-the-art research that has successfully utilized both decision analytics and optimization tools within healthcare operations research Highlights the optimization of chronic disease prevention, infectious disease control and prevention, and disease treatment and treatment technology Includes contributions by well-known experts from operations researchers to clinical researchers, and from data scientists to public health administrators Offers clarification on common misunderstandings and misnomers while shedding light on new approaches in this growing area Designed for use by academics, practitioners, and researchers, Decision Analytics and Optimization in Disease Prevention and Treatment offers a comprehensive resource for accessing the power of decision analytics and optimization tools within healthcare operations research.

Journal of the National Cancer Institute

Journal of the National Cancer Institute
Author : Anonim
Publisher : Unknown
Release Date : 2006
Category : Cancer
Total pages :129
GET BOOK

New Approaches to Classification and Diagnostic Prediction of Breast Cancers

New Approaches to Classification and Diagnostic Prediction of Breast Cancers
Author : Aleix Prat,Mothaffar Rimawi
Publisher : Frontiers Media SA
Release Date : 2020-06-16
Category :
Total pages :129
GET BOOK

Despite many years of translational research in breast cancer, very few new biomarkers have been implemented for clinical use beyond estrogen receptor, progesterone receptor, and HER2. The main reason is that many promising biomarkers are clinically validated but lack analytical and clinical utility. One explanation is that proper validation of the predictive ability of the biomarker in independent datasets, and with a pre-planned statistical analysis, is not always performed. Thus, there is a need to identify new biomarkers or new ways to subclassify breast cancer patients that are reproducible and easy to implement in the clinical setting but, more importantly, that improve patient’s outcomes.

An Introduction to Physical Oncology

An Introduction to Physical Oncology
Author : Vittorio Cristini,Eugene Koay,Zhihui Wang
Publisher : CRC Press
Release Date : 2017-06-26
Category : Mathematics
Total pages :164
GET BOOK

Physical oncology has the potential to revolutionize cancer research and treatment. The fundamental rationale behind this approach is that physical processes, such as transport mechanisms for drug molecules within tissue and forces exchanged by cancer cells with tissue, may play an equally important role as biological processes in influencing progression and treatment outcome. This book introduces the emerging field of physical oncology to a general audience, with a focus on recent breakthroughs that help in the design and discovery of more effective cancer treatments. It describes how novel mathematical models of physical transport processes incorporate patient tissue and imaging data routinely produced in the clinic to predict the efficacy of many cancer treatment approaches, including chemotherapy and radiation therapy. By helping to identify which therapies would be most beneficial for an individual patient, and quantifying their effects prior to actual implementation in the clinic, physical oncology allows doctors to design treatment regimens customized to each patient’s clinical needs, significantly altering the current clinical approach to cancer treatment and improving the outcomes for patients.

Molecular-cytogenetic Characterization of Head and Neck Cancer

Molecular-cytogenetic Characterization of Head and Neck Cancer
Author : Volkert B. Wreesmann
Publisher : Unknown
Release Date : 2004
Category :
Total pages :506
GET BOOK

Academic dissertation for obtaining the degree of doctor by the University of Amsterdam under the authority of Rector Magnificus prof. mr. P.F. van der Heijden in the presence of the regular promotion committee to defend in public in the Auditorium of the University on thursday 2 december 2004, at 10:30 hour with Volkert Boudewijn Wreesmann born in Rotterdam and at 11:30 hours with Bhuvanesh Singh born in Patna (India).

Fundamentals of Clinical Data Science

Fundamentals of Clinical Data Science
Author : Pieter Kubben,Michel Dumontier,Andre Dekker
Publisher : Springer
Release Date : 2018-12-21
Category : Medical
Total pages :219
GET BOOK

This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.

Target Volume Definition in Radiation Oncology

Target Volume Definition in Radiation Oncology
Author : Anca-Ligia Grosu,Carsten Nieder
Publisher : Springer
Release Date : 2015-04-15
Category : Medical
Total pages :349
GET BOOK

The main objective of this book is to provide radiation oncologists with a clear, up-to-date guide to tumor delineation and contouring of organs at risk. With this in mind, a detailed overview of recent advances in imaging for radiation treatment planning is presented. Novel concepts for target volume delineation are explained, taking into account the innovations in imaging technology. Special attention is paid to the role of the newer imaging modalities, such as positron emission tomography and diffusion and perfusion magnetic resonance imaging. All of the most important tumor entities treated with radiation therapy are covered in the book. Each chapter is devoted to a particular tumor type and has been written by a recognized expert in that topic.

Prognostic Factors in Cancer

Prognostic Factors in Cancer
Author : Paul Hermanek,Mary K. Gospodarowicz,Donald E. Henson,Robert V.P. Hutter,Leslie H. Sobin
Publisher : Springer Science & Business Media
Release Date : 2012-12-06
Category : Medical
Total pages :290
GET BOOK

M. K. Gospodarowicz, P. Hermanek, and D. E. Henson Attention to innovations in cancer treatment has tended to eclipse the importance of prognostic assessment. However, the recognition that prognostic factors often have a greater impact on outcome than available therapies and the proliferation of biochemical, molecular, and genetic markers have resulted in renewed interest in this field. The outcome in patients with cancer is determined by a combination of numerous factors. Presently, the most widely recognized are the extent of disease, histologic type of tumor, and treatment. It has been known for some time that additional factors also influence outcome. These include histologic grade, lymphatic or vascular invasion, mitotic index, performance status, symptoms, and most recently genetic and biochemical markers. It is the aim of this volume to compile those prognostic factors that have emerged as important determinants of outcome for tumors at various sites. This compilation represents the first phase of a more extensive process to integrate all prognostic factors in cancer to further enhance the prediction of outcome following treatment. Certain issues surround ing the assessment and reporting of prognostic factors are also considered. Importance of Prognostic Factors Prognostic factors in cancer often have an immense influence on outcome, while treatment often has a much weaker effect. For example, the influence of the presence of lymph node involvement on survival of patients with metastatic breast cancer is much greater than the effect of adjuvant treatment with tamoxifen in the same group of patients [5].

Image-Guided Radiotherapy of Lung Cancer

Image-Guided Radiotherapy of Lung Cancer
Author : James D. Cox,Joe Y. Chang,Ritsuko Komaki
Publisher : CRC Press
Release Date : 2007-09-20
Category : Medical
Total pages :192
GET BOOK

Lung cancer is the leading cause of cancer death in the United States, but IGRT (image guided radiation therapy) offers the possibility of more aggressive and enhanced treatments. The only available source on the subject that emphasizes new imaging techniques, and provides step-by-step treatment guidelines for lung cancer, this source helps clinicians locate and target tumors with enhanced speed, improve the accuracy of radiation delivery, and correctly target cancerous masses while avoiding surrounding structures. Edited by radiation oncology experts from the renowned M.D. Anderson Cancer Center, this guide: focuses on novel approaches using IGRT, particularly PET/CT, SPECT, 4-D CT, stereotactic body radiation therapy, IMRT and proton radiotherapy, and offers expert guidance on the dose, fractionation, target volume delineation (including recommended margins with and without respiratory gating based on our new 4-D CT study), and normal tissue tolerances stands as the first step-by-step guide for radiation oncologists to implement new image-guided techniques into their day-to-day clinical practice, and considers the practical issues of implementing these approaches into their routine helps clinicians use imaging technologies to detect changes in tumor size, shape, position, or metabolism over a course of radiotherapy treatment provides disease stage-specific treatment guidelines and clearly lays out imaging techniques serves as roadmap for future research and development

AJCC Cancer Staging Manual

AJCC Cancer Staging Manual
Author : Frederick L, Greene,David L. Page,Irvin D. Fleming,April G. Fritz,Charles M. Balch,Daniel G. Haller,Monica Morrow
Publisher : Springer Science & Business Media
Release Date : 2013-11-21
Category : Medical
Total pages :421
GET BOOK

The American Joint Committee on Cancer's Cancer Staging Manual is used by physicians throughout the world to diagnose cancer and determine the extent to which cancer has progressed. All of the TNM staging information included in this Sixth Edition is uniform between the AJCC (American Joint Committee on Cancer) and the UICC (International Union Against Cancer). In addition to the information found in the Handbook, the Manual provides standardized data forms for each anatomic site, which can be utilized as permanent patient records, enabling clinicians and cancer research scientists to maintain consistency in evaluating the efficacy of diagnosis and treatment. The CD-ROM packaged with each Manual contains printable copies of each of the book’s 45 Staging Forms.

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016
Author : Sebastien Ourselin,Leo Joskowicz,Mert R. Sabuncu,Gozde Unal,William Wells
Publisher : Springer
Release Date : 2016-10-17
Category : Computers
Total pages :703
GET BOOK

The three-volume set LNCS 9900, 9901, and 9902 constitutes the refereed proceedings of the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, held in Athens, Greece, in October 2016. Based on rigorous peer reviews, the program committee carefully selected 228 revised regular papers from 756 submissions for presentation in three volumes. The papers have been organized in the following topical sections: Part I: brain analysis, brain analysis - connectivity; brain analysis - cortical morphology; Alzheimer disease; surgical guidance and tracking; computer aided interventions; ultrasound image analysis; cancer image analysis; Part II: machine learning and feature selection; deep learning in medical imaging; applications of machine learning; segmentation; cell image analysis; Part III: registration and deformation estimation; shape modeling; cardiac and vascular image analysis; image reconstruction; and MR image analysis.

Cystic Fibrosis in the Light of New Research

Cystic Fibrosis in the Light of New Research
Author : Dennis Wat
Publisher : BoD – Books on Demand
Release Date : 2015-08-24
Category : Medical
Total pages :392
GET BOOK

Cystic Fibrosis in the Light of New Research provides the latest research and clinical evidence that will be useful for clinicians, scientists and researchers to further their knowledge around this fascinating condition. The authors have brought along their expertise and wealth of knowledge to produce this book, including the basic science that underlies the disease, the burden of bacterial and viral infections, immunologic aspects of CF, a variety of clinical measurements to predict prognosis and novel therapies including gene therapy. This book will be invaluable and entertaining for anyone who is involved in the care of patients with cystic fibrosis.