Explore our AI model development process and datasets used for care placement predictions
Our AI system predicts one of four evidence-based care placement categories, each designed to match specific levels of independence and care needs:
Can live alone without formal care services
Needs professional care services at home
Needs facility-based care with 24/7 support availability
Needs specialized dementia care with security measures
Our machine learning models analyze 13 key factors including cognitive assessments (MMSE, MoCA), functional abilities (ADL, IADL), mobility, fall risk, social support, and medical history to predict the most appropriate care level. The enhanced model (v2.0) trained on 100,000 records provides highly accurate predictions with 99.7% overall accuracy.
Latest model trained on comprehensive 100,000 record dataset for improved accuracy
Initial model development and baseline results