Princeton, NJ - Princeton University and Princeton-based medical technology firm ODH will work jointly to advance “machine learning,” an artificial intelligence technology that allows computer systems to process information without specific inputs or instructions. Machines then can scan large volumes of data and use pattern recognition software to make predictions about future outcomes based on patient records.
For example, if a patient suffers from jaundice, the primary diagnosis may be liver disease or failure, but the new programming developed by ODH and Princeton’s Department of Operations Research and Financial Engineering will scan the patient’s medical record for signs of alcohol abuse or other contributing factors.
The new technology will also recommend the most effective interventions, such as referring patients to substance abuse treatment programs or educating them about the importance of medication adherence.
“The health care industry is just starting to come to grips with the potential of machine learning,” ODH chief executive Michael Jarjour said in a statement. “We see a huge opportunity to push the boundaries by improving machine learning methodologies, so that we can better identify underlying behavioral and social factors contributing to individuals’ health conditions and target interventions accordingly.”
The new technology will also recommend the most effective interventions, such as referring patients to substance abuse treatment programs or educating them about the importance of medication adherence.
“The health care industry is just starting to come to grips with the potential of machine learning,” ODH chief executive Michael Jarjour said in a statement. “We see a huge opportunity to push the boundaries by improving machine learning methodologies, so that we can better identify underlying behavioral and social factors contributing to individuals’ health conditions and target interventions accordingly.”
