Project number
16064
Organization
UA Department of Biomedical Engineering
Academic year
2016-2017
The project objective is design of a computational model for severe traumatic brain injury to assist with prognosis in a clinical setting such as in an intensive care unit. Current methods of developing prognoses are subjective, not necessarily reliable, and fail to capture the dynamics of injury progression.
The model incorporates features from multiple modalities, such as physiological processes and clinical data from laboratory tests. A method called “soft computing” is incorporated into the model’s algorithm, which is based on human logic and provides a prognosis from the patient’s clinical data.
Model prognoses include the state of the patient, based on symptoms and initial lab values, and which laboratory values and events are most likely to occur within a few days of admission.
The model incorporates features from multiple modalities, such as physiological processes and clinical data from laboratory tests. A method called “soft computing” is incorporated into the model’s algorithm, which is based on human logic and provides a prognosis from the patient’s clinical data.
Model prognoses include the state of the patient, based on symptoms and initial lab values, and which laboratory values and events are most likely to occur within a few days of admission.