Andrius Vabalas
Datos Biográficos
| ID | 5082407 |
|---|---|
| NOMBRE | Andrius Vabalas |
| NOMBRES | Andrius |
| APELLIDO | Vabalas |
| FIRMA | VABALAS A |
| AFILIACIONES | University of Helsinki |
| ORCID | 0000-0002-0659-2890 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 2 |
| TOTAL DE CITAS | 1 |
| TOTAL COMO AUTOR | 2 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2019 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2023 |
| ÍNDICE H | 1 |
Nationwide health, socio-economic and genetic predictors of Covid-19 vaccination status in Finland
Understanding factors associated with COVID-19 vaccination can highlight issues in public health systems. Using machine learning, we considered the effects of 2,890 health, socio-economic and demographic factors in the entire Finnish population aged 30–80 and genome-wide information from 273,765 individuals. The strongest predictors of vaccination status were labour income and medication purchase history. Mental health conditions and having unvac…
Machine learning algorithm validation with a limited sample size
Advances in neuroimaging, genomic, motion tracking, eye-tracking and many other technology-based data collection methods have led to a torrent of high dimensional datasets, which commonly have a small number of samples because of the intrinsic high cost of data collection involving human participants. High dimensional data with a small number of samples is of critical importance for identifying biomarkers and conducting feasibility and pilot work…
Nationwide health, socio-economic and genetic predictors of Covid-19 vaccination status in Finland
Understanding factors associated with COVID-19 vaccination can highlight issues in public health systems. Using machine learning, we considered the effects of 2,890 health, socio-economic and demographic factors in the entire Finnish population aged 30–80 and genome-wide information from 273,765 individuals. The strongest predictors of vaccination status were labour income and medication purchase history. Mental health conditions and having unvac…
Machine learning algorithm validation with a limited sample size
Advances in neuroimaging, genomic, motion tracking, eye-tracking and many other technology-based data collection methods have led to a torrent of high dimensional datasets, which commonly have a small number of samples because of the intrinsic high cost of data collection involving human participants. High dimensional data with a small number of samples is of critical importance for identifying biomarkers and conducting feasibility and pilot work…
Nationwide health, socio-economic and genetic predictors of Covid-19 vaccination status in Finland
Understanding factors associated with COVID-19 vaccination can highlight issues in public health systems. Using machine learning, we considered the effects of 2,890 health, socio-economic and demographic factors in the entire Finnish population aged 30–80 and genome-wide information from 273,765 individuals. The strongest predictors of vaccination status were labour income and medication purchase history. Mental health conditions and having unvac…
2019-20 coronavirus outbreak (1 obras) · Artificial Intelligence (1 obras) · Artificial neural network (1 obras) · Cell Image Analysis Techniques (1 obras) · Computer Science (1 obras) · Cross-validation (1 obras) · Data collection (1 obras) · Data mining (1 obras) · Demography (1 obras) · Disease (1 obras)