SCREENING PREDICTION OF ASCARIASIS AT CHRONIC PANCREATITIS
DOI:
https://doi.org/10.11603/1681-2727.2023.4.14249Keywords:
chronic pancreatitis, ascariasis, screening predictionAbstract
SUMMARY. The purpose of the research is to develop an algorithm for differential diagnosis and prediction of concomitant ascariasis in patients with chronic pancreatitis (CP) with visualization in the form of a decision tree.
Materials and methods. The research group consisted of 125 patients with CP combined with and without ascariasis. The diagnosis of CP was verified according to the clinical and statistical classification of diseases of the digestive organs. As a result of statistical processing, many rules are obtained that go from the root to each terminal node, contain inequalities for numerous attributes and inclusion conditions for categorical attributes.
Results. It was established that the use of the computerized decision tree method (data mining) is an effective means of building an optimal algorithm for predicting the comorbid course of CP and ascariasis (the error was 2.9 %). Clinical and instrumental (ultrasound) features of patients with CP are informative parameters for screening for the presence of ascariasis, which are presented as follows in order of decreasing significance: enlargement of the head of the pancreas, general weakness, hydrophilic structure of the pancreas, abdominal pain, nausea, unclear blurred contours of the pancreas, diarrhea, heaviness in the right or left hypochondrium, alternating constipation and diarrhea, bitterness in the mouth, inhomogeneous fine-grained echostructure of the pancreas, a feeling of fullness in the abdomen, duration of CP. This is important for determining the correct tactics of further diagnosis, treatment, and rehabilitation of patients with a combined course of CP and ascariasis.
Conclusion. For screening prediction of the presence of comorbid ascariasis in CP and determination of rational tactics for further diagnosis, treatment, and rehabilitation of patients with a combined course of CP and ascariasis at the primary level of medical care, it was recommended to use the computerized decision tree method (data mining).
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