Background Machine learning (ML) has spread rapidly from computer science to several
disciplines. Given the predictive capacity of ML, it offers new opportunities for health …

A steady rise has been observed in the percentage of elderly people who want and are still
able to contribute to society. Therefore, early retirement or exit from the labour market, due to …

Background As the ageing population continues to grow in many countries, the prevalence
of geriatric diseases is on the rise. In response, healthcare providers are exploring novel …

Socio-economic indicators are key to understanding societal challenges. They disassemble
complex phenomena to gain insights and deepen understanding. Specific subsets of …

This study aims to assess different machine learning approaches for streamflow
regionalization in a tropical watershed, analyzing their advantages and limitations, and to …

Due to the wealth of exposome data from longitudinal cohort studies that is currently
available, the need for methods to adequately analyze these data is growing. We propose …

With an ever-ageing population in developed countries, healthy ageing is an emerging
public health priority for securing citizens' quality of life and minimizing healthcare …

Dengue fever (DF) is a common and rapidly spreading vector-borne viral disease in tropical
and subtropical regions. In recent years, in China, DF still poses an increasing threat to …

Background Within modern health systems, the possibility of accessing a large amount and
a variety of data related to patients' health has increased significantly over the years. The …

Biomarkers of aging are urgently needed to identify individuals at high risk of develo**
age-associated disease or disability. Growing evidence from population-based studies …