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Biomedical subjects

A Paycha

Publications and source records attributed to A Paycha.

6 recordsLinked to original sources

[Multilocular eyelid hidrocystoma: an anatomical and clinical observation].

A cystic cutaneous mass was observed on the lateral canthus of the left eyelid in a 25-year-old woman, 2 years after being operated on for a lesion that had existed in the same area several years before, but the patient could not identify its nature. The present mass appeared as a well-circumscribed bluish cystic lesion. A surgical resection was performed; pathological analysis disclosed a cystic sweat tumor composed of several contiguous cysts. One year of follow-up has revealed no complications.

Adult↗

[An expert system for the diagnosis of intraocular pressure disorders].

PURPOSE: This expert system (ES) is designed to avoid the four types of diagnosis errors: by omission or by confusion both of which may occur when collecting signs and symptoms and when analyzed data. This ES uses a thesaurus containing 42 classical and objective signs and a comprehensive library. For a given case report, it provides the practitioner with a positive diagnosis, and if possible, one or several etiologies taking into account all the data known about intraocular disorders. METHODS: This ES is run on a PC-compatible computer with 640 KB RAM and without hard drive. The 90 KB program is written in compiled Basic. After checking the case record to rule out nonsenses, the logic considers every sign of the case record as equivalent. Likewise, in the first stage all syndromes are considered of equal likelihood. The syndromic diagnosis is set by identification. Comparisons of prevalence interfere, when needed, in a second phase, within the framework of etiological diagnosis. RESULTS: When tested on a set of 180 cases records combined with 115 cases extracted from the literature corresponding to more than 1,900 diaagnoses, this ES yielded 100% correct positive and differential diagnoses, thus validating the logial hypotheses. Probability of error by omission was less than a 3% and probability of error by confusion was well below 0.1%. Besides, the logical analysis shelds light on the intellectual mechanisms of diagnosis. CONCLUSIONS: This ES is user-friendly, easy to update and can answer clinical problems the ophthalmologist has to cope with in diagnosis and therapy of intraocular pressure disorders.

Acute Disease↗

[The assisted-diagnosis by identification program, an expert system for acquired ocular hypertension in adults].

Computer Aided Diagnosis by Identification packages are expert systems which proceed by iterative comparisons sign by sign between patient's cases and data encased in their clinical memory. They draw straight forward inference from thought processes analyses that lead to diagnosis: comparison between patient's own case report and acquired identified situation, error factors: ignorance or non-performance and, lastly rules to subscribe to: perfect knowledge of every kind of glaucoma and for every kind, perfect knowledge of every sign. Formalization of the problem specifies the algorithm, the miscellaneous solutions: single hypothesis and multiple hypothesis, and their respective values. In order to build up the clinical library, literature search is required to be comprehensive: treaty, reviews, papers, communications and personal case-reports. Outputs are retrieved in an average time-lag of 15 seconds, and are expressed as a list from which only the physician can make out the meaning.

Adult↗