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Identifying population segments for effective intervention design and targeting using unsupervised machine learning: an end-to-end guide
One-size-fits-all interventions that aim to change behavior are a missed opportunity to improve human health and well-being, as they do not target the different reasons that drive people’s choices and behaviors. Psycho-behavioral segmentation is an approach to uncover such differences and enable the...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
F1000 Research Limited
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6820452/ https://www.ncbi.nlm.nih.gov/pubmed/31701090 http://dx.doi.org/10.12688/gatesopenres.13029.2 |