Table 6 Summary of results from the variants in Fig. 11 comparing the calculated total costs per patient pathway and QALYs to the algorithm accuracy.
From: Non-invasive diagnosis of deep vein thrombosis from ultrasound imaging with machine learning
Total costs per diagnostic pathway | Total QALYs | True positive likelihood | False positive likelihood | True negative likelihood | False negative likelihood | |
|---|---|---|---|---|---|---|
No software support | £300 | 11.57 | 0.10 | 0.06 | 0.84 | 0.00 |
Algorithm 1 | £230–£244 | 11.57 | 0.09 | 0.01–0.02 | 0.88–0.89 | 0.01 |
Algorithm 2 | £237–£254 | 11.57 | 0.09 | 0.01–0.02 | 0.88–0.89 | 0.01 |
Algorithm 3 | £240–£259 | 11.57 | 0.09 | 0.01–0.02 | 0.88–0.89 | 0.01 |
Algorithm 4 | £393–£510 | 11.56 | 0.10 | 0.19–0.30 | 0.60–0.71 | 0.00 |
Algorithm 5 | £444–£590 | 11.56 | 0.10 | 0.23–0.37 | 0.53–0.67 | 0.00 |
