AN APPLICATION OF DATA MINING TECHNOLOGY WITH AIM OF DIFFERENTIAL DIAGNOSTICS OF THE COMORBIDIC STATES OF CHRONIC PANCREATITIS AND ASCARIDOSIS ON THE BASIS OF DATA OF CLINICAL SYMPTOMATOLOGY AND ULTRASONIC RESEARCHES

V. P. Martsenyuk, L. S. Babinets, Yu. V. Dronyak

Abstract


For diagnostics of chronic pancreatitis and ascaridosis comorbidity methodology of decision tree construction based on C5.0 algorithm is used. Data of both clinical symptomatology and ultrasonography can be applied. For each of types of researches and also for their totality a separate decision tree is built. The error of algorithm is investigated.

Keywords


chronic pancreatitis; ascaridosis; comorbidity; clinical symptomatology; ultrasonic; decision tree; data mining; R; C5.0.

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DOI: https://doi.org/10.11603/mie.1996-1960.2017.4.8447

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ISSN: 1996-1960
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