Approaches and Strategy for Cancer Research and Surveillance Data

Approaches and Strategy for Cancer Research and Surveillance Data
Author: Paul A. Fearn
Publisher:
Total Pages: 242
Release: 2016
Genre:
ISBN:

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The generalizable contribution of Chapter 6 is a tool for shifting the work of manual data abstraction so that it generates training and validation data suitable for development of automated clinical data processing algorithms (e.g., statistical algorithms, NLP, machine learning). This tool was built with a technology partner, LabKey Software, so that it can be portable to other clients, scalable, and extensible to different clinical data sources and databases. Other groups are already adopting this tool. The generalizable contributions of Chapter 8 are the following. First, it provides a description of cancer registries and cancer surveillance from an informatics perspective, including the case for automation. Second, it contributes a review of informatics tools and methods applied to cancer registries that indicates potential for automation of clinical data processing. Third, it identifies cancer registries and cancer surveillance as an area for funding and advancing biomedical informatics research.

Making Data Talk

Making Data Talk
Author: David E. Nelson (M.D.)
Publisher: Oxford University Press, USA
Total Pages: 340
Release: 2009
Genre: Medical
ISBN: 019538153X

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The authors summarize and synthesize research on the selection and presentation of data pertinent to public health and provide practical suggestions, based on this research summary and synthesis, on how scientists and other public health practitioners can better communicate data to the public, policy makers and the press.

A Nationwide Framework for Surveillance of Cardiovascular and Chronic Lung Diseases

A Nationwide Framework for Surveillance of Cardiovascular and Chronic Lung Diseases
Author: Institute of Medicine
Publisher: National Academies Press
Total Pages: 200
Release: 2011-08-26
Genre: Medical
ISBN: 0309212197

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Chronic diseases are common and costly, yet they are also among the most preventable health problems. Comprehensive and accurate disease surveillance systems are needed to implement successful efforts which will reduce the burden of chronic diseases on the U.S. population. A number of sources of surveillance data-including population surveys, cohort studies, disease registries, administrative health data, and vital statistics-contribute critical information about chronic disease. But no central surveillance system provides the information needed to analyze how chronic disease impacts the U.S. population, to identify public health priorities, or to track the progress of preventive efforts. A Nationwide Framework for Surveillance of Cardiovascular and Chronic Lung Diseases outlines a conceptual framework for building a national chronic disease surveillance system focused primarily on cardiovascular and chronic lung diseases. This system should be capable of providing data on disparities in incidence and prevalence of the diseases by race, ethnicity, socioeconomic status, and geographic region, along with data on disease risk factors, clinical care delivery, and functional health outcomes. This coordinated surveillance system is needed to integrate and expand existing information across the multiple levels of decision making in order to generate actionable, timely knowledge for a range of stakeholders at the local, state or regional, and national levels. The recommendations presented in A Nationwide Framework for Surveillance of Cardiovascular and Chronic Lung Diseases focus on data collection, resource allocation, monitoring activities, and implementation. The report also recommends that systems evolve along with new knowledge about emerging risk factors, advancing technologies, and new understanding of the basis for disease. This report will inform decision-making among federal health agencies, especially the Department of Health and Human Services; public health and clinical practitioners; non-governmental organizations; and policy makers, among others.

High-Dimensional Data Analysis in Cancer Research

High-Dimensional Data Analysis in Cancer Research
Author: Xiaochun Li
Publisher: Springer Science & Business Media
Total Pages: 164
Release: 2008-12-19
Genre: Medical
ISBN: 0387697659

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Multivariate analysis is a mainstay of statistical tools in the analysis of biomedical data. It concerns with associating data matrices of n rows by p columns, with rows representing samples (or patients) and columns attributes of samples, to some response variables, e.g., patients outcome. Classically, the sample size n is much larger than p, the number of variables. The properties of statistical models have been mostly discussed under the assumption of fixed p and infinite n. The advance of biological sciences and technologies has revolutionized the process of investigations of cancer. The biomedical data collection has become more automatic and more extensive. We are in the era of p as a large fraction of n, and even much larger than n. Take proteomics as an example. Although proteomic techniques have been researched and developed for many decades to identify proteins or peptides uniquely associated with a given disease state, until recently this has been mostly a laborious process, carried out one protein at a time. The advent of high throughput proteome-wide technologies such as liquid chromatography-tandem mass spectroscopy make it possible to generate proteomic signatures that facilitate rapid development of new strategies for proteomics-based detection of disease. This poses new challenges and calls for scalable solutions to the analysis of such high dimensional data. In this volume, we will present the systematic and analytical approaches and strategies from both biostatistics and bioinformatics to the analysis of correlated and high-dimensional data.

Analysis of Cancer Risks in Populations Near Nuclear Facilities

Analysis of Cancer Risks in Populations Near Nuclear Facilities
Author: National Research Council
Publisher: National Academies Press
Total Pages: 424
Release: 2012-06-29
Genre: Medical
ISBN: 0309255716

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In the late 1980s, the National Cancer Institute initiated an investigation of cancer risks in populations near 52 commercial nuclear power plants and 10 Department of Energy nuclear facilities (including research and nuclear weapons production facilities and one reprocessing plant) in the United States. The results of the NCI investigation were used a primary resource for communicating with the public about the cancer risks near the nuclear facilities. However, this study is now over 20 years old. The U.S. Nuclear Regulatory Commission requested that the National Academy of Sciences provide an updated assessment of cancer risks in populations near USNRC-licensed nuclear facilities that utilize or process uranium for the production of electricity. Analysis of Cancer Risks in Populations near Nuclear Facilities: Phase 1 focuses on identifying scientifically sound approaches for carrying out an assessment of cancer risks associated with living near a nuclear facility, judgments about the strengths and weaknesses of various statistical power, ability to assess potential confounding factors, possible biases, and required effort. The results from this Phase 1 study will be used to inform the design of cancer risk assessment, which will be carried out in Phase 2. This report is beneficial for the general public, communities near nuclear facilities, stakeholders, healthcare providers, policy makers, state and local officials, community leaders, and the media.

Guiding Cancer Control

Guiding Cancer Control
Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
Total Pages: 175
Release: 2019-08-30
Genre: Medical
ISBN: 0309492319

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Throughout history, perhaps no other disease has generated the level of social, scientific, and political discourse or has had the degree of cultural significance as cancer. A collective in the truest sense of the word, "cancer" is a clustering of different diseases that afflict individuals in different ways. Its burdens are equally broad and diverse, from the physical, financial, and psychological tolls it imposes on individuals to the costs it inflicts upon the nation's clinical care and public health systems, and despite decades of concerted efforts often referred to as the "war on cancer", those costs have only continued to grow over time. The causes and effects of cancer are complexâ€"in part preventable and treatable, but also in part unknown, and perhaps even unknowable. Guiding Cancer Control defines the key principles, attributes, methods, and tools needed to achieve the goal of implementing an effective national cancer control plan. This report describes the current structure of cancer control from a local to global scale, identifies necessary goals for the system, and formulates the path towards integrated disease control systems and a cancer-free future. This framework is a crucial step in establishing an effective, efficient, and accountable system for controlling cancer and other diseases.

Registries for Evaluating Patient Outcomes

Registries for Evaluating Patient Outcomes
Author: Agency for Healthcare Research and Quality/AHRQ
Publisher: Government Printing Office
Total Pages: 396
Release: 2014-04-01
Genre: Medical
ISBN: 1587634333

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This User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database is a file (or files) derived from the registry. Although registries can serve many purposes, this guide focuses on registries created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or cost-effectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care. Registries are classified according to how their populations are defined. For example, product registries include patients who have been exposed to biopharmaceutical products or medical devices. Health services registries consist of patients who have had a common procedure, clinical encounter, or hospitalization. Disease or condition registries are defined by patients having the same diagnosis, such as cystic fibrosis or heart failure. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews.

Theory at a Glance

Theory at a Glance
Author: Karen Glanz
Publisher:
Total Pages: 52
Release: 1997
Genre: Health behavior
ISBN:

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Individualized Strategies for Breast Cancer Surveillance Based on Aggregated Familial Information

Individualized Strategies for Breast Cancer Surveillance Based on Aggregated Familial Information
Author:
Publisher:
Total Pages: 0
Release: 2002
Genre:
ISBN:

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This final report is concerned with stochastic modeling of breast cancer detection and estimation problems associated with the two-variate distribution of age and tumor size at diagnosis. Our methodological approach is designed to accommodate generally-structured data. Another research avenue was related to optimal scheduling of breast cancer screening by maximizing the expected reduction of tumor size at detection. We developed a Monte- Carlo EM algorithm for estimation of biologically meaningful parameters incorporated into the joint distribution of age and tumor size at detection. The proposed estimation techniques were tested by computer simulations and applied to epidemiological data on individuals identified through the Utah Population Database (UPDB) and Utah Cancer Registry. We studied various indicators of family history and used one of them to stratify the data on breast cancer obtained from the UPDB. An optimal schedule has been constructed for low- and high-risk groups of individuals identified through the UPDB. While the efficacy of the optimal schedule tends to be higher in high-risk families, its structure appears to be robust to variations in breast cancer risk.