Unknown Interactions Between Parameters and Models
death
EVENTS
It is interesting to investigate whether age plays a role in the prediction. We observed that the average HR had more positive impacts on the prediction results in the younger patient group (aged <65 years). When reviewing the wrong predictions made for the data points belonging to younger patients, especially for the false-negative cases, we found that the average HR increased in all cases, leading to a small positive impact on the prediction of death events. As for the false-negative cases from patients aged >80 years, only 1 (25%) out of the 4 cases showed a small positive impact from the average HR, whereas the other 3 (75%) cases had a strong negative impact from it. This finding aligns with the well-known concept that the maximal HR and HR stress response decrease with age [Although explainable models can provide high-impact features and, therefore, seem to be more reliable for clinical use, there have been debates over the use of explainable AI in health care [