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G Nepoux

Publications and source records attributed to G Nepoux.

2 recordsLinked to original sources

[Computer-assisted diagnosis and therapy for glaucoma].

Boolean algebra, or combinatory analysis and their related computer routines, can provide invaluable help in resolving classic diagnostic problems. However complex each case may be, the diagnosis is always made from a finite set of data, and the fundamental problem is thus how to exploit this data. Invention no longer has a place in ascertaining a diagnosis. Traditional ways of reasoning are numerous, personal, and fragile, but fortunately redundant. They may give rise to four types of error: omission or mistake (an error of judgment), either during the semiotic or the dialectic stages. Whereas the physiological capacity of the human brain and memory only enables it to make a limited number of hypotheses concerning certain aspects of glaucoma, computer programs can take the total number of hypotheses into account, i.e., 3000. For every input the program explores each of the 3,000 items, thus eliminating the four types of error. The probabilistic nature of data, which compromises the confidence one can have in conclusions resulting from such complex reasoning, is treated by the adjusted probabilities. The use of such diagnostic aids, whose thesaurus is updated regularly, is reserved for ophthalmologists, the only authority capable of assessing the pertinence of the computer responses. Consequently, the specialist can rest assured that the patient has benefited from the most comprehensive and updated knowledge in medical science.

Glaucoma↗

[Usefulness of computers in diagnosis and therapy. The principle of the privileged hypothesis. The example of glaucoma].

AIM: Everyone sees only the errors of others, for diagnosis error proves difficult to detect inasmuch as medical reasoning is complex and subject to little supervision. MATERIAL: In the semiologic phase of everyday diagnosis, any sign can be overlooked: error by omission, or be poorly analyzed: error by confusion. Putting forward hypotheses based on observation is hazardous whenever data is used following the tenet that "these signs call up this disease," which is the opposite of "in this disease, these signs often or sometimes occur." Moreover, a comprehensive and detailed memorization is essential in order to avoid errors of omission: a hypothesis has been forgotten; or of confusion: a disease has been poorly memorized. METHOD: However vast it may be, the volume of data describing the miscellaneous pictures of glaucoma is finite and therefore usable on well-known computer devices. The nearly 1,000 pictures, Ma, Mb, etc., are described by 85 signs, sa, sb, etc. These signs are standard, objective, semiologically accurate, and independent. They are logically equivalent because the value of a given sign, of greater or lesser importance, only appears after the diagnosis has been ascertained. The pathological condition is exhibited as a set of enunciations: Ma=sa, sb, sc, etc. RESULTS: Written in Visual Basic, the program described herein runs on a basic PC workstation. The selection of predicates incorporating the signs of clinical observation suggests the likely diagnoses; probability calculus determines the favored hypothesis and its reliability. The etiological and differential diagnoses relying on one, two or three signs are outlined, as are therapies and contraindications. This information is comprehensive, detailed, pertinent, and updated.

Algorithms↗