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Related Experiment Videos

Gathering diagnostic statistics.

R B Friedman

    Journal of Medical Systems
    |December 13, 1977
    PubMed
    Summary
    This summary is machine-generated.

    Collecting numerical data on medical disease symptoms is crucial for advancing computer-assisted diagnosis and medical computing. Documenting expert judgment is a vital first step to address this data gap.

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    Area of Science:

    • Medical Informatics
    • Clinical Data Science

    Background:

    • Limited numerical data exists on symptom occurrence across various medical diseases.
    • Such data is essential for developing advanced medical computing applications.

    Purpose of the Study:

    • To highlight the need for quantitative symptom occurrence data in medical diseases.
    • To explore methods for acquiring this data for medical computing applications.

    Main Methods:

    • Discusses potential data sources: review articles, existing databases, chart reviews, medical information systems, and expert committees.
    • Acknowledges limitations of current methods, including data for disease progression, prior therapies, symptom interactions, and patient demographics.

    Main Results:

    Related Experiment Videos

  • Identifies a significant lack of comprehensive, quantitative symptom data for medical conditions.
  • Highlights challenges in data collection, such as accounting for disease course, patient factors, and treatment history.

    • Conclusions:

    • Emphasizes the critical need for numerical symptom data to enhance medical computing, including diagnosis and simulation.
    • Proposes that even preliminary data from expert committees would significantly advance the field.