Identifying population segments for effective intervention design and targeting using unsupervised machine learning: an end-to-end guide [version 2; peer review: 2 approved]
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...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
F1000 Research Ltd
2019-10-01
|
| Series: | Gates Open Research |
| Online Access: | https://gatesopenresearch.org/articles/3-1503/v2 |