A Decision-Theoretic Approach to Medical Diagnosis and Treatment,

Abstract

The paper sets out to replace good medical practice with something better by proposing a structure to the clincial decision problem which is, in a particular sense, optimal. The structure is of the general form found in the literature under names such as statistical decision theory, decision making under uncertainty, Bayesian decision analysis, the theory of choice under uncertainty, and so forth. The theory has recently been applied to acute renal failure, the pleural effusion problem, the sore throat problem, and renal hypertension. The intended contribution of this paper to the body of knowledge is the proposal to estimate multidimensional utility functions primarily on the basis of observed behavior rather than on the sole basis of response to hypothetical lotteries, as is usually done. (Author)

Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1970
Accession Number
AD0714651

Entities

People

  • Brian E. Forst

Organizations

  • Center for Naval Analyses

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Data Science
  • Decision Theory
  • Diseases And Disorders
  • Effusion
  • Hypertension
  • Information Science
  • Knowledge Management
  • Literature
  • Pleural Diseases
  • Statistical Decision Theory
  • Stress (Physiology)
  • Uncertainty
  • Vascular Diseases

Readers

  • Molecular and Cellular Biology
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms