A new research project out of the Department of Computer Science at the Discovery Analytics Center plans to use machine learning techniques to find ways that may reduce deaths from traumatic brain injuries. The four-year study will use computational models to predict both short- and long-term prognoses and even offer specific treatment options for certain patients. Traumatic brain injury is one of the biggest causes of death for people aged 44 and under in Kentucky and the rest of the U.S.
The main goal of this project is to help prevent brain damage issues by predicting what might happen, such as increased intracranial pressure or metabolic derangement. Innovative computational algorithms will be used to detect patterns in medical records where no two brain injuries are exactly alike. Information used in the algorithms will include bedside data and data obtained from remote telemedicine.
This brain study is expected to receive assistance from researchers in a variety of departments from universities throughout the country. Engineers, clinical experts and critical care physicians will provide input and help correct problems. Researchers hope the results of this study will help families make important long-term care decisions and reduce the overall medical and social costs of brain injuries.
The victim of malpractice related to a brain or spinal cord injury could speak with an attorney to find out if seeking compensation is possible. These types of injuries can have life-long implications, so it's important to hold parties responsible if they were negligent. Some doctors and hospitals may decide to make a settlement out of court while others will choose to mount a defense.