Abstract
A whole-body physiology model of inflammatory burn injury was used to train an algorithm to correctly detect patients’ states. The physiology model of a thermal injury takes the surface area of patient skin burned as an input to the model and responds to common treatments. This model is leveraged to build a database of patient physiology as a function of total body surface area burn, without treatment, over a 48-h window. Using this database, we train a model to determine patient injury status as a function of the available physiology data. The algorithm can group virtual patients into three distinct categories, corresponding to long term patient health. The results show that, given an initial virtual patient and injury, the algorithm can correctly determine the placement of that patient into the corresponding category, effectively classifying long term patient outcomes.
Highlights
Applied Research Associates, Advanced Modeling Simulation and Systems Directorate, USARMY Institute of Surgical Research, 3698 Chambers Pass Ste B JBSA ft
Detecting patient health as a function of initial patient injury requires a large amount of physiology data with total body surface area burns (TBSA) as an input parameter
The physiological model is developed by simulating the patient’s acute inflammatory response (AIR) as a function of the burn TBSA suffered by the patient
Summary
Burn and related injuries in the United States account for approximately 40,000 hospitalizations each year [1,2]. Detecting patient health as a function of initial patient injury requires a large amount of physiology data with TBSA as an input parameter. Using the same patient physiology data, a nearest neighbor classifier is trained that accurately predicts a burn patient’s category given their physiological state These two contributions demonstrate preliminary results that an integrated BioGears-machine learning model could be an effective method to preemptively evaluate patient health trajectories. This model may be able to predict treatment protocols that a caretaker may chose, based upon an initial patient injury and will be an area of future investigation
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