Literature DB >> 10297244

Gathering diagnostic statistics.

R B Friedman.   

Abstract

There is currently a dearth of numerical data on symptom occurrence for medical diseases. These data would be useful in many computer applications to medicine, particularly for computer-assisted diagnosis, computer-based clinical simulations, and computer-assisted instructions. These data might be obtained from (1) published review articles, (2) combined data bases already developed for previous automated diagnosis programs, (3) retrospective chart reviews, (4) computerized medical information systems, or (5) data supplied by expert committees. Each of these techniques has drawbacks, especially in providing data for multiple time cuts throughout the disease course, and in accounting for prior therapies, the interactions of symptoms, or the locality, sex, race, or environment of the patient. However, even a preliminary effort documenting the judgment of expert committee members would be a substantial contribution and would facilitate further progress in important areas of medical computing.

Entities:  

Mesh:

Year:  1978        PMID: 10297244     DOI: 10.1007/BF02225580

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  16 in total

1.  EXPERIENCE WITH BAYE'S THEOREM FOR COMPUTER DIAGNOSIS OF CONGENITAL HEART DISEASE.

Authors:  H R WARNER; A F TORONTO; L G VEASY
Journal:  Ann N Y Acad Sci       Date:  1964-07-31       Impact factor: 5.691

2.  SYMPTOM DIAGNOSIS. A MATHEMATICAL ANALYSIS OF EPIGASTRIC PAIN.

Authors:  J A RINALDO; P SCHEINOK; C E RUPE
Journal:  Ann Intern Med       Date:  1963-08       Impact factor: 25.391

3.  A mathematical approach to medical diagnosis. Application to congenital heart disease.

Authors:  H R WARNER; A F TORONTO; L G VEASEY; R STEPHENSON
Journal:  JAMA       Date:  1961-07-22       Impact factor: 56.272

4.  Reasoning foundations of medical diagnosis; symbolic logic, probability, and value theory aid our understanding of how physicians reason.

Authors:  R S LEDLEY; L B LUSTED
Journal:  Science       Date:  1959-07-03       Impact factor: 47.728

5.  IV. Strategies, potentials, and problems of computerized assisted instruction.

Authors:  G O Barnett
Journal:  Physiologist       Date:  1973-11

6.  A computer-assisted system for learning clinical diagnosis.

Authors:  F T de Dombal; J R Hartley; D H Sleeman
Journal:  Lancet       Date:  1969-01-18       Impact factor: 79.321

7.  A computer program for simulating the patient-physician encounter.

Authors:  R B Friedman
Journal:  J Med Educ       Date:  1973-01

8.  Sequential diagnosis by computer.

Authors:  G A Gorry; G O Barnett
Journal:  JAMA       Date:  1968-09-16       Impact factor: 56.272

9.  CASE: a Computer-Aided Simulation of the Clinical Encounter.

Authors:  W G Harless; G G Drennon; J J Marxer; J A Root; G E Miller
Journal:  J Med Educ       Date:  1971-05

10.  Computer diagnosis of thyroid diseases. Comparison of incidence data and considerations on the problem of data-collection.

Authors:  C Winkler; P Reichertz; G Kloss
Journal:  Am J Med Sci       Date:  1967-01       Impact factor: 2.378

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.