Machine Learning Informed Diagnosis for Congenital Heart Disease in Large Claims Data Source.

Background: With an increasing interest in using large claims databases in medical practice and research, it is a meaningful and essential step to efficiently identify patients with the disease of interest.

Objectives: This study aims to establish a machine learning (ML) approach to identify patients with congenital heart disease (CHD) in large claims databases.

Methods: We harnessed data from the Quebec claims and hospitalization databases from 1983 to 2000.

hART: Deep learning-informed lifespan heart failure risk trajectories.

Background: Heart failure (HF) results in persistent risk and long-term comorbidities. This is particularly true for patients with lifelong HF sequelae of cardiovascular disease such as patients with congenital heart disease (CHD).

Purpose: We developed hART (heart failure Attentive Risk Trajectory), a deep-learning model to predict HF trajectories in CHD patients.

[Further development of prophylactic medical examination of military personnel in Ukraine].

The article presents new principles of carrying out prophylactic medical examination of military personnel: criteria of definition of health groups were proposed, pivotal role of general practitioner in performing of prophylactic medical examination, treatment-and heaIth-improving measures were highlighted. Positive results of introduction of this system of prophylactic medical examination in Kiev garrison enables to recommend it in a wide use to enhance the efficiency of regular medical check-ups in armed forces of Ukraine and other power authorities.

[Smoking among military personnel of young age: bad habit and risk factor].

Anonymous questioning was done among military personnel to study their attitude to healthy way of living and smoking. 80 military persons aged from 18 till 30 participated in the study (40 officers and 40 soldiers). Obtained results showed that 72,5% of soldiers and 42,5% of officers smoked it in connection with compromised heredity may lead to the development of chronic non-infectious disease.

[Ultrasound diagnostics of jaundice].

Ultrasound enables to diagnose jaundice resulted from obturation at some level of bile-ducts in 92,2% of patients with jaundice of the origin by detecting the widening of bile duct system. Ultrasound helps in 95,3% detecting outhepatic obturation of bile ducts, in 72,6% - the cause of the disease. Having this technique as high informative and harmless one can use it to screen patients with jaundice.