Objective: Aim: To identify expert patterns in cases of improper medical care in obstetric practice based on the analysis of the materials of judicial and investigative cases initiated against obstetrician-gynaecologists in cases of improper performance of their professional duties, using the decision tree method.
Patients And Methods: Materials and methods: A retrospective review of all alleged medical malpractice cases (a total 350) between 2007 and 2016 handled at Ternopil Regional Bu¬reau of Forensic Medical Examination, Chernivtsi Regional Bureau of Forensic Medical Examination and Zhytomir Regional Bureau of Forensic Medical Examination (Ukraine) was performed.
Results: Results: Expert commissions confirmed various shortcomings and omissions in provision of medical care in 232 (72.
Unlabelled: The problem of late gestosis is one of the important problems in modern obstetrics. Despite significant advances in the diagnosis, prevention and treatment of preeclampsia, gestosis remains a formidable disease of the second half of pregnancy.
Aim: The aim of study was to investigate the possibility of using decision tree method to optimize the diagnosis and prediction of preeclampsia on the background of metabolic syndrome.
The possibilities of Data Mining artificial intelligence technology, in particular the decision tree induction method, are presented to answer special questions during the forensic examination of criminal proceedings instituted against doctors in cases of inadequate medical care. Based on the results, justified by an automated mathematical program for intelligent database processing, specific forensic expert features of therapeutic and tactical defects in the provision of medical care are established.
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