PREDICTING SURGERY DURATION

• Main Authors: NIKOLOVA-SIMONS, Mariana, MONTENIJ, Leon, KELDERMAN, Rikkert, DJIKIC, Marko
• Format: Patent
• Language: English; French; German
• Published: 20.12.2023
• Subjects: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; PHYSICS

A system and method are provided for generating a predictive model for predicting a surgery duration. The system and method use a feature selection technique to identify a set of features in training data, which set of features is predictive of the surgery duration, train a number of predictive models using the set of features as input and the surgery duration as prediction target, wherein the predictive models include at least a linear predictive model and a non-linear predictive model, and generate an ensemble model which combines at least two of the predictive models. Such an ensemble model may optimally combine linear and non-linear predictions and therefore allow linear and non-linear relationships between features and the surgery duration to be taken into account. Advantageously, more accurate surgery planning may safeguard the health of patients, for example by ensuring that there are sufficient resources available for acute surgeries, or by avoiding that elective surgeries have to be postponed due to a presumed lack of resources.