Machine Learning Algorithm Predicts Mortality Risk in Intensive Care Unit for Patients with Traumatic Brain Injury.
Kuan-Chi TuEric Nyam Tee TauNai-Ching ChenMing-Chuan ChangTzu-Chieh YuChe-Chuan WangChung-Feng LiuChing-Lung KuoPublished in: Diagnostics (Basel, Switzerland) (2023)
Our machine learning training demonstrated that the predictive accuracy of the LightGBM is better than that of APACHE II and SOFA scores. These features are readily available on the first day of patient admission to the ICU. By integrating this model into the clinical platform, we can offer clinicians an immediate prognosis for the patient, thereby establishing a bridge for educating and communicating with family members.