Author: William E. FarrPublisher:
ISBN:
Category : Death
Languages : en
Pages : 50
Book Description
Report on the Nomenclature and Statistical Classification of Diseases for Statistical Returns
Author: William E. FarrPublisher:
ISBN:
Category : Death
Languages : en
Pages : 50
Book Description
ICPC, International Classification of Primary Care
Author: Henk LambertsPublisher: Oxford University Press, USA
ISBN:
Category : Language Arts & Disciplines
Languages : en
Pages : 228
Book Description
Intended for family physicians and others in primary care delivery. Compatible with International classification of diseases, 9th ed.
Sixty-fourth-Eighty-second Annual Report of the Registrar-general of Births, Deaths, and Marriages in England and Wales (1901-1919)
Author: Great Britain. General Register OfficePublisher:
ISBN:
Category : Great Britain
Languages : en
Pages : 332
Book Description
Thirty-third annual report ... abstracts for 1870 includes "summary of marriages, births and deaths registered in ten years 1861-70".
Annual Report of the Registrar-General of Births, Deaths, and Marriages in England
Author: Publisher:
ISBN:
Category : Great Britain
Languages : en
Pages : 328
Book Description
Catalog of the Library of the Statistical Society
Author: Statistical Society (Great Britain). LibraryPublisher:
ISBN:
Category : Great Britain
Languages : en
Pages : 598
Book Description
Registries for Evaluating Patient Outcomes
Author: Agency for Healthcare Research and Quality/AHRQPublisher: Government Printing Office
ISBN: 1587634333
Category : Medical
Languages : en
Pages : 385
Book Description
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.
Catalogue of the Library of the Statistical Society ...
Author: Royal Statistical Society (Great Britain). LibraryPublisher:
ISBN:
Category : Great Britain
Languages : en
Pages : 592
Book Description
ICD-9-CM Official Guidelines for Coding and Reporting
Author: Publisher:
ISBN:
Category : Classification
Languages : en
Pages : 76
Book Description
Textbook and Guide to the Standard Nomenclature of Diseases and Operations
Author: Edward Theodore ThompsonPublisher:
ISBN:
Category : National Conference on Medical Nomenclature (U.S.).
Languages : en
Pages : 648
Book Description
Clinical Text Mining
Author: Hercules DalianisPublisher: Springer
ISBN: 3319785036
Category : Computers
Languages : en
Pages : 192
Book Description
This open access book describes the results of natural language processing and machine learning methods applied to clinical text from electronic patient records. It is divided into twelve chapters. Chapters 1-4 discuss the history and background of the original paper-based patient records, their purpose, and how they are written and structured. These initial chapters do not require any technical or medical background knowledge. The remaining eight chapters are more technical in nature and describe various medical classifications and terminologies such as ICD diagnosis codes, SNOMED CT, MeSH, UMLS, and ATC. Chapters 5-10 cover basic tools for natural language processing and information retrieval, and how to apply them to clinical text. The difference between rule-based and machine learning-based methods, as well as between supervised and unsupervised machine learning methods, are also explained. Next, ethical concerns regarding the use of sensitive patient records for research purposes are discussed, including methods for de-identifying electronic patient records and safely storing patient records. The book’s closing chapters present a number of applications in clinical text mining and summarise the lessons learned from the previous chapters. The book provides a comprehensive overview of technical issues arising in clinical text mining, and offers a valuable guide for advanced students in health informatics, computational linguistics, and information retrieval, and for researchers entering these fields.
