METHODS: This is a retrospective cohort study utilizing data from the National Cardiovascular Disease (NCVD)-PCI registry. The data collected (N = 28,007) were split into training set (n = 24,409) and testing set (n = 3598). Four predictive models (logistic regression [LR], random forest method, support vector machine [SVM], and artificial neural network) were developed and validated. The outcome on risk prediction were compared.

RESULTS: The demographic and clinical features of patients in the training and testing cohorts were similar. Patients had mean age ± standard deviation of 58.15 ± 10.13 years at admission with a male majority (82.66%). In over half of the procedures (50.61%), patients had chronic stable angina. Within 1 year of follow up mortality, target vessel revascularization (TVR), and composite event of mortality and TVR were 3.92%, 9.48%, and 12.98% respectively. LR was the best model in predicting mortality event within 1-year post-PCI (AUC: 0.820). SVM had the highest discrimination power for both TVR event (AUC: 0.720) and composite event of mortality and TVR (AUC: 0.720).

MATERIALS AND METHODS: A search for relevant studies published in the last five years was conducted using the databases of Google Scholar, IEEE Xplore, PubMed, Scopus, Springer Link and Web of Science.

RESULTS: Of the 4959 records identified, a total of 29 studies met the inclusion criteria. The findings were reviewed in three areas: social interaction of older adults supported by user interface, the digital technologies used in the user interface, and the effects of user interfaces on the social interactions of older adults.

METHODS: We conducted a systematic search across four databases (EBSCOhost, PubMed, Scopus, Web of Science) for relevant studies published before August 2023. Two reviewers independently examined the articles, assessed their methodological quality, and performed data extraction.

RESULTS: A total of 23 articles met the inclusion criteria. It is found that demographic, physical movement, physical appearance, psycho-cognitive, teacher-related, and contextual factors emerged as six prominent influential factors affecting adolescent bullying behavior. Specifically, demographic factors mainly encompassed age and gender; physical movement factors primarily include physical activity, sedentary behavior, physical exercise, and sports competence; physical appearance factors primarily include being overweight, too thin, too tall, or too short; psycho-cognitive factors chiefly involved cognitive empathy, motivation, enjoyment of physical activity; teacher-related factors primarily comprised activity choices, teachers competence, controlling style, autonomy support; and contextual factors primarily cover desolate climate, perceived caring climate, strong sense of competition and winning setting.

METHODS: This study was conducted with 314 participants from Delhi's Sanjay Colony, divided into control and intervention groups. The study spanned 14 months (August 2020 to September 2021). The intervention program comprised two educational sessions held one month apart, covering dengue awareness, health self-care, and environmental maintenance. Data were collected at baseline, after each intervention session, and during a final follow-up assessment three months later.

RESULTS: The primary outcome, the house index (HI), revealed statistically significant differences (P<0.001) favoring the intervention group. The total score (TS) for mosquito-borne disease, TS of knowledge, TS of attitude, and TS of practices all exhibited significant improvements in the intervention group. Participants showed an enhanced understanding of dengue causes, symptoms, and mosquito behavior related to breeding and biting. The HI in the intervention group decreased significantly from 21.65% to 4.45% (P<0.05).