Victor Olsavszky
Biographic Data
| ID | 7904516 |
|---|---|
| NAME | Victor Olsavszky |
| GIVEN NAMES | Victor |
| FAMILY NAME | Olsavszky |
| SIGNATURE | OLSAVSZKY V |
| AFFILIATIONS | Heidelberg University |
| ORCID | 0000-0001-6083-5534 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Integrating maternal, newborn, child health and non-communicable disease care in the sustainable development goal era
Noncommunicable diseases (NCDs) and maternal newborn and child health (MNCH) are two deeply intertwined health areas that have been artificially separated by global health policies, resource allocations and programming. Optimal MNCH care can provide a unique opportunity to screen for, prevent and manage early signs of NCDs developing in both the woman and the neonate. This paper considers how NCDs, NCD modifiable risk factors, and NCD metabolic r…
Time Series Analysis and Forecasting with Automated Machine Learning on a National ICD-10 Database
The application of machine learning (ML) for use in generating insights and making predictions on new records continues to expand within the medical community. Despite this progress to date, the application of time series analysis has remained underexplored due to complexity of the underlying techniques. In this study, we have deployed a novel ML, called automated time series (AutoTS) machine learning, to automate data processing and the applicat…
No prominent works on this page.
Time Series Analysis and Forecasting with Automated Machine Learning on a National ICD-10 Database
The application of machine learning (ML) for use in generating insights and making predictions on new records continues to expand within the medical community. Despite this progress to date, the application of time series analysis has remained underexplored due to complexity of the underlying techniques. In this study, we have deployed a novel ML, called automated time series (AutoTS) machine learning, to automate data processing and the applicat…
Integrating maternal, newborn, child health and non-communicable disease care in the sustainable development goal era
Noncommunicable diseases (NCDs) and maternal newborn and child health (MNCH) are two deeply intertwined health areas that have been artificially separated by global health policies, resource allocations and programming. Optimal MNCH care can provide a unique opportunity to screen for, prevent and manage early signs of NCDs developing in both the woman and the neonate. This paper considers how NCDs, NCD modifiable risk factors, and NCD metabolic r…
AI in cancer detection (1 works) · Artificial Intelligence (1 works) · Biomedical Text Mining and Ontologies (1 works) · Child and Adolescent Health (1 works) · Child Nutrition and Water Access (1 works) · Computer Science (1 works) · Data mining (1 works) · Database (1 works) · Disease (1 works) · Economic growth (1 works)