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: | , , |
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Format: | Article |
Language: | English |
Published: |
F1000 Research Ltd
2019-10-01
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Series: | Gates Open Research |
Online Access: | https://gatesopenresearch.org/articles/3-1503/v2 |