From: Machine learning approaches for predicting high cost high need patient expenditures in health care
Period length and lags | General Medicaid population | Diabetes cohort | COPD cohort | Hypertension cohort | Asthma cohort |
---|---|---|---|---|---|
1 month, One period later | 0.564 | 0.611 | 0.591 | 0.588 | 0.587 |
1 month, Two periods later | 0.526 | 0.566 | 0.548 | 0.543 | 0.548 |
1 month, Three periods later | 0.521 | 0.553 | 0.526 | 0.530 | 0.533 |
3 months, One period later | 0.651 | 0.649 | 0.611 | 0.629 | 0.640 |
3 months, Two periods later | 0.584 | 0.592 | 0.554 | 0.572 | 0.600 |
3 months, Three periods later | 0.516 | 0.559 | 0.526 | 0.541 | 0.567 |
6 months, One period later | 0.653 | 0.662 | 0.626 | 0.644 | 0.680 |
6 months, Two periods later | 0.566 | 0.594 | 0.568 | 0.581 | 0.624 |
6 months, Three periods later | 0.515 | 0.541 | 0.522 | 0.530 | 0.585 |
12 months, One period later | 0.676 | 0.675 | 0.651 | 0.664 | 0.718 |
12 months, Two periods later | 0.594 | 0.581 | 0.563 | 0.570 | 0.631 |