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Learning Causal Effects From Observational Data in Healthcare: A Review and Summary
Causal inference is a broad field that seeks to build and apply models that learn the effect of interventions on outcomes using many data types. While the field has existed for decades, its potential to impact healthcare outcomes has increased dramatically recently due to both advancements in machin...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9300826/ https://www.ncbi.nlm.nih.gov/pubmed/35872797 http://dx.doi.org/10.3389/fmed.2022.864882 |