Search papers, labs, and topics across Lattice.
Affiliation:
3
0
3
Medical LLMs can provide the right answers but still falter when faced with different patient narratives, highlighting a critical bias in clinical decision support.
SAGE achieves 87.96% accuracy in predicting postpartum depression risk using just 16 carefully selected features, highlighting the importance of psychological and socioeconomic factors over demographics.
A novel hybrid model achieves 95.78% accuracy in predicting mental health risks for female sex workers, revealing critical trauma factors that traditional methods overlook.
