- Health Promotion and Cardiovascular Prevention
- COVID-19 Pandemic Impacts
- Health Literacy and Information Accessibility
- Physical Activity and Health
- COVID-19 and Mental Health
- Nutritional Studies and Diet
- Smoking Behavior and Cessation
- Cardiac Health and Mental Health
- Chronic Disease Management Strategies
- Frailty in Older Adults
- Machine Learning in Healthcare
Finnish Institute for Health and Welfare
2024
Some previous studies suggest that the consumption of tobacco and nicotine products overall declined during COVID-19 pandemic, but results are mixed. We investigated product sales in Finland, including replacement therapy (NRT). Our particular focus was on pouches used as NRT. aimed to evaluate effect pandemic NRT 2020 by comparing year.
Machine learning techniques have demonstrated success in predictive modeling across various clinical cases. However, few studies considered predicting the use of multisectoral health and social services among older adults. This research aims to utilize machine models detect high-risk groups excessive utilization at early stage, facilitating implementation preventive interventions.
Abstract Background We aimed to explore the possibilities of utilizing automatically accumulating data on health—owned for example by local companies and non-governmental organizations—to complement traditional health sources in promotion work at level. Methods Data PUHTI study consisted postal code level information sport license holders, drug purchase sales advertisements a TOR online underground marketplace, grocery Tampere. Additionally, open population register were utilized. An...