Specialized computer support systems for medical diagnosis. Relationship with the Bayes' theorem and with logical diagnostic thinking

Abstract

Fortaleza -CE -BrazilSpecialized Computer Support Systems for Medical Diagnosis. Relationship with the Bayes' Theorem and with Logical Diagnostic ThinkingUpdate "No one should fool themselves into believing that they can compete with the memory of a computer, and much more than that, with the utilization speed of all memorized data. It is a new world which rapidly arises and which will alter the structure of medical work, and principally, medical ethics" 1 . Andrade PJN Bayes'theorem and diagnostic thinkingArq Bras Cardiol volume 73, (nº 6), 1999

A novel report generation approach for medical applications: The SISDS methodology and its applications

“…The maximum possible total score (overall benefit) is 32 and the minimum possible total score is -32. If advantages and disadvantages balance each other then the score is 0. knowledge (Andrade, 1999). Graber et al (1994) examined the acceptance of medical DDS systems in detail: a key aspect of a system's acceptability is its user interface and it is common wisdom that medical DDS systems are most likely to succeed when they can be integrated into a clinical environment as is in SISDS, not being a stand-alone system.…”

CASESIAN: A knowledge-based system using statistical and experiential perspectives for improving the knowledge sharing in the medical prescription process

“…The Bayesian Theorem was originally stated by Thomas Bayes (1702-1761) as a probability theory that could be used to calculate the statistical probability of a proposition based on the original probability plus new relevant factors [18]. This probabilistic approach has been widely applied in the medical domain in areas such as diagnosis classification, drug testing and advice about medicine [19][20][21].…”