Research map / Large language models / AI and society
AI for Equitable, Data-Driven Decisions in Public Health
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use the network intervention system to select peer leaders instead of selecting highest-degree nodes | HIV prevention intervention · HIV prevention clinical trial (713 youth) | odds of engaging in condomless anal sex: 33% reduction | Helped |
| Select highest-degree nodes as peer leaders | HIV prevention intervention · HIV prevention clinical trial (713 youth) | odds of engaging in condomless anal sex | No clear effect |
| Train the model to induce good decisions using a continuous relaxation of the discrete optimization problem | TB treatment visit scheduling system · Mumbai TB treatment historical data | intervention effectiveness: 15% improvement | Helped |
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