Article Figures & Data
Figures
- Figure 1
(a) Illustration of the level of autonomy by artificial intelligencey/machine learning group. (b) Illustration of the machine learning (ML) control system.
- Figure 2
Graphical representation of health care utilization and the relationship to patient-reported outcomes. Graphs a and b show utilization in relation to PROMIS. Graph c shows the utilization in relation to PROMIS and stratified by MCID. MCID, minimum clinically important difference; PROMIS, Patient-Reported Outcomes Measurement Information System; post-op, postoperative.
- Figure 3
Illustration of the optimization objectives and the level of optimization. PRO, patient-reported outcome.
- Figure 4
Graphical representation of Pearson’s correlation with the true length of stay for patients scored with the American College of Surgeon’s (ACS) National Surgical Quality Improvement Program (NSQIP; r = 0.461, P < 2e-16; A) and the Risk Assessment and Prediction Tool (RAPT) score (r = −0.364, P < 2e-16; B). When comparing ACS NSQIP to RAPT, the models were found to be correlated but highly divergent on a patient-by-patient basis (r = −0.286, P < 2e-16; C).
In this issue
Jump to section
Related Articles
Cited By...
- No citing articles found.