Publications by authors named "Ihor Semianiv"
Introduction: The paper presents epidemiological process modeling, with a focus on tuberculosis utilizing multi-agent system.
Material And Methods: This study involves the development of an algorithm that harnesses the potential of artificial intelligence to create a geospatial model that highlights the different pathways of TB transmission. The modeling process itself is characterized by a series of key stages, including initialization of the city, calibration of health parameters, simulation of the working day, propagation of the spread of infection, the evolution of disease trajectories, rigorous statistical calculations and transition to the following day.
Objective: The aim: To investigate the in!uence of prescribing a complex of amino acids in pathogenetic therapy in patients with pulmonary tuberculosis on liver function.
Patients And Methods: Materials and methods: The study included 50 patients with drug susceptible TB and 50 patients with drug-resistant TB (multidrug-resistant and extensively drug-resistant).
Results: Results: The study included 50 patients with drug susceptible tuberculosis (TB) and 50 patients with drug-resistant TB.
Objective: The aim: Predicting the effectiveness of treatment for MRI of the lungs by developing a mathematical model to predict treatment outcomes.
Patients And Methods: Materials and methods: 84 patients with MRI of the lungs: group 1 (n = 56) - with signs of effective TB treatment at the end of the intensive phase; group 2 (n = 28) - patients with signs of ineffective treatment. We used the multivariate discriminant analysis method using the statistical environment STATISTICA 13.