Computer Aided Diagnosis – A Review of Research

Computer aided diagnosis is reviewed and an assessment made of the different models used for this purpose. These are discussed under three headings:

1. Models based on physicians’ thought processes

2. Models based on the physiological relationships manifested in the disease state,

3. Statistical models.

The models are assessed in terms of their accuracy by comparison with clinical methods. Typical results show that using the computer improves diagnostic accuracy by about 10%.

It is concluded that Bayesian models are likely to give the best results since they are well suited to the probabilistic nature of medical data and can be adapted for use in many situations. Further research necessary for the improvement of Bayesian models is discussed.

In einem Bericht über computerunterstützte Diagnostik werden die verschiedenen hiez’bei benutzten Modelle beurteilt. Sie werden unter drei Überschriften erörtert:

1. Modelle, die auf gedanldiche Prozesse des Arztes gründen,

2. Modelle, die auf im Krankheitszustand manifestierte physiologische Beziehungen gründen,

3. statistische Modelle.

Die Modelle werden nach ihrer Genauigkeit im Vergleich mit klinischen Methoden beurteilt. Typische Ergebnisse zeigen, daß die Anwendung des Computers die diagnostische Genauigkeit um etwa 10% erhöht.

Es wird gefolgert, daß Bayessche Modelle die besten Ergebnisse zeitigen, da sie dem probabilistischen Charakter medizinischer Daten entsprechen und zur Anwendung in vielen Situationen angepaßt werden können. Die weiter erforderliche Forschungsarbeit zur Verbesserung Bayesscher Modelle wird erörtert.

Key-Words

Computer Diagnosis - Bayes Models - Diagnostic Accuracy

Schlüssel-Wörter

Computerdiagnose - Bayessche Modelle - diagnostische Genauigkeit

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