Catherine Kreatsoulas
Biographic Data
| ID | 6078508 |
|---|---|
| NAME | Catherine Kreatsoulas |
| GIVEN NAMES | Catherine |
| FAMILY NAME | Kreatsoulas |
| SIGNATURE | KREATSOULAS C |
| AFFILIATIONS | At the time that this work was carried out, Cherie L. Ramirez and Zofia K. Z. Gajdos were with the Harvard Global Health Institute (HGHI), Cambridge, MA. Cherie L. Ramirez was also with the Center for Health Decision Science, Harvard School of Public Health (HSPH), Boston, MA. Zofia K. Z. Gajdos is with the Infectious Diseases Consortium/Curriculum Fellows Program, Harvard Medical School, Boston. Catherine Kreatsoulas is with the Department of Social and Behavioral Sciences, HSPH. Myriam C. Afeiche and... |
| ORCID | 0000-0001-9542-8453 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2009 |
| LATEST PUBLICATION YEAR | 2018 |
| H-INDEX | 0 |
Machine learning in social epidemiology
Public Health 101 Nanocourse
Graduate students and postdoctoral fellows—including those at the Harvard School of Public Health (HSPH)—have somewhat limited opportunities outside of traditional coursework to learn holistically about public health. Because this lack of familiarity could be a barrier to fruitful collaboration across disciplines, HSPH postdocs sought to address this challenge. In response, the Public Health 101 Nanocourse was developed to provide an overview of …
Considering race/ethnicity and socio-economic status in randomized controlled trials. A commentary on Frampton et al.'s systematic review generalizing trial findings and tackling health disparities in…
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Considering race/ethnicity and socio-economic status in randomized controlled trials. A commentary on Frampton et al.'s systematic review generalizing trial findings and tackling health disparities in…
Public Health 101 Nanocourse
Graduate students and postdoctoral fellows—including those at the Harvard School of Public Health (HSPH)—have somewhat limited opportunities outside of traditional coursework to learn holistically about public health. Because this lack of familiarity could be a barrier to fruitful collaboration across disciplines, HSPH postdocs sought to address this challenge. In response, the Public Health 101 Nanocourse was developed to provide an overview of …
Machine learning in social epidemiology
Epidemiology (2 works) · Medicine (2 works) · Artificial Intelligence (1 work) · Biostatistics (1 work) · Cardiovascular Health and Risk Factors (1 work) · Computer Science (1 work) · Coursework (1 work) · Environmental health (1 work) · Epidemiology (1 work) · Health disparities and outcomes (1 work)