A computer-aided diagnosis system model is developed using fuzzy subsets. In this case, symbols are treated as fuzzy subsets of the corresponding data set. The degree of relevance of a value in the fuzzy subset of a feature is calculated when it is present in the patient's features. The diagnostic system provides the physician with confirmed diagnoses, excluded diagnoses, and diagnostic advice, including the reasons for the indicated diagnoses. Almost never, very rarely, rarely, more or less to support the doctor's diagnostic decision, often, very often in the process of both well-defined symptoms-diagnosis in the sense of exclusion and unclear relationship used.
| Mualliflar | Primova, X.A., Vaydullayeva, M.F., Sotvoldiyev, D.M. |
|---|---|
| Jurnal | Рақамли технологияларнинг назарий ва амалий масалалари |
| Nashr sanasi | 2024-12-30 |
| Jild | 7 |
| Son | 4 |
| Betlar | 80-85 |
| Til | Rus |
| DOI | 10.62132/ijdt.v7i4.223 |
DOI: 10.62132/ijdt.v7i4.223 · Maqolaning asl sahifasi
kompyuterli taxshislash, noravshan qism to‘plamlar, tibbiy hujjatlar, tashxis bo‘yicha tavsiyalar, computer-aided classification, fuzzy sets, medical records, diagnostic recommendations
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