1. Repository of Kharkiv National Medical University

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PreviewIssue DateTitleAuthor(s)
2023-03-10Ventilation control through pressure control, what is necessary for the opening of the alveoliKursov, Serhii; Skoroplit, Serhii
2021-03-17Шляхи розвитку медичного освітнього процесу в умовах сучасностіБерегова, Алла Анатоліївна; Біловол, Алла Миколаївна; Ткаченко, Світлана Геннадіївна
2023Доступ до медичної освіти в закладах вищої освіти. Виклики сьогоденняЯнішен, І.В.; Томілін, В.Г.; Дюдіна, І.Л.
2023-11-29Оptimization of training loads in students volleyball players at the stage of general physical trainingKutsii, Denis; Stratiі, Natalia; Posypayko, Artem
2023Soft tissue perfusion evaluation algorithm in the scheme of gunshot defects “closure”Khomenko, I.; Lurin, I.; Nehoduiko, Volodymyr; Tertyshnyi, S.; Popova, O.; Vastyanov, R.; Weis, B.
2024-02-09The intensive care protocol for patients with thoracic trauma complicated by hemopneumothorax and pulmonary contusion.Nikonov, Vadym; Kursov, Serhii; Kinoshenko, Yevheniia; Skoroplit, Serhii
2023-03Dynamics of indicators of vestibular dysfunction and walking locomotion in men aged 25-42 years with the consequences of a combat wound as a result of the influence of physical culture and sports rehabilitationMisiura, Vісtoriia; Ruban, Larysa; Honcharov, Oleksii; Litovchenko, Andrii; Garyachiy, Yevgeniy
2023Gunshot shrapnel wound of the thigh with damage to the superficial femoral artery (features of clinical manifestations, development of complications with late medical care and preservation of the limb)Lurin, I.; Makarov, Vitaly; Nehoduiko, Volodymyr; Smolianyk, Kostiantyn; Chobey, S.; Ott, O.
Статья, Скопус.pdf.jpg2020Prediction of sudden cardiac death in elderly patients with acute myocardial infarction with ST segment elevation, having undergone myocardial reperfusion by percutaneous coronary interventionRadzishevska, Yevheniia; Osipova, Olga; Shekhovtsova, Larisa; Lykov, Yury; Pokrovskaya, Tatiana; Korokina, Lilia
ChumachenkoD_Piletskiy_Sukhorukova_ChumachenkoT.pdf.jpg2022-04-23Predictive Model of Lyme Disease Epidemic Process Using Machine Learning ApproachChumachenko, Dmytro; Piletskiy, Pavlo; Sukhorukova, Marya; Chumachenko, Tetyana

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