ABSTRACT
Homeopathic treatment is individualized. Computerized repertories have been using a number of different methods of selecting medicines. The dangers of simplistic methods are discussed. The theory of voting can be applied to homoeopathic repertorization, with different methods producing conflicting results. The logical structure of different procedures and their relationship to the competence of the prescriber is discussed
Subject(s)
Repertorization, Computed , Decision Making, Computer-Assisted , Diagnostic ErrorsABSTRACT
Homoeopathy has now come to a turning point. Thanks to Knowledge Base Expert Systems, which appeared recently and are orientated towards drug diagnosis, homoeopaths have been made aware of the enormous possibilities that computers can offer them. This applies particularly to the gathering of clinical data and analysis of a collection of clinical files. The purpose of this paper is to summarize what has already been done and suggest what can be done in the future
Subject(s)
Expert Systems , Decision Making, Computer-Assisted , Computer Literacy , Artificial Intelligence , Software DesignSubject(s)
Bacteriological Techniques , Enterobacteriaceae/classification , Bacteriological Techniques/standards , Computers , Enterobacteriaceae/physiology , Klebsiella/classification , Klebsiella/physiology , Mathematics , Models, Biological , Probability , Proteus/classification , Proteus/physiologyABSTRACT
The identification of Enterobacteriaceae is examined in the context of the recent field of research assisted by multi-criteria decisions. In particular, the authors discuss the limitations of two approaches of assisted identification based on completely different mathematical concepts: the calculation of the probabilities (used in commercial centres) and the aggregation of pre-orders by a model of assisted decision such as Electra II. In order to reduce the errors of interpretation inherent in the use of any model, the authors propose the use of computer assisted systems of bacterial identification in bacteriology laboratories.