Andrius Vabalas
Biographic Data
| ID | 5082407 |
|---|---|
| NAME | Andrius Vabalas |
| GIVEN NAMES | Andrius |
| FAMILY NAME | Vabalas |
| SIGNATURE | VABALAS A |
| AFFILIATIONS | University of Helsinki |
| ORCID | 0000-0002-0659-2890 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 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 works) · Artificial Intelligence (1 works) · Artificial neural network (1 works) · Cell Image Analysis Techniques (1 works) · Computer Science (1 works) · Cross-validation (1 works) · Data collection (1 works) · Data mining (1 works) · Demography (1 works) · Disease (1 works)