Medical decisions under uncertainty
DOI:
https://doi.org/10.15587/1729-4061.2014.23935Keywords:
decision-making, differential diagnosis, game theory, conjugate gradient method, linear programmingAbstract
The paper proposes a solution to the patients’ differential diagnosis problem by a combined application of the basic game theory, linear programming, and the conjugate gradient method. Based on the clinical research, a differential diagnosis of diseases such as atopic dermatitis, dermatitis herpetiformis, drug disease, psoriasis, eczema, scleroderma, lupus erythematosus, mycosis in 590 patients was carried out. Serum levels of T-lymphocytes, T-helper lymphocytes, cytotoxic T-cells; B-lymphocytes; s5 − interleukin 2; interleukin 6, endothelin-1 polypeptide; the percentage of segmented neutrophils in a leukogram; the serum IgA level; the serum IgM level; the serum immunoglobulin G level, s12 – the serum total immunoglobulin E level were considered informative features.
As a result of applying the proposed method not only the patient's diagnosis was determined, but also the doctor was given the opportunity to weigh the probability of possible medical diagnostic errors.
Using the approach, proposed by the authors to differentiate diagnoses with similar clinical implications, allows improving the efficiency of medical decision-making.References
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Copyright (c) 2014 Елена Владимировна Высоцкая, Александр Иосифович Довнарь, Анна Ивановна Печерская
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