US Patent 12125314 Systems and methods for machine learning-based identification of sepsis

In some aspects, the disclosure is directed to methods and systems for machine learning-based identification of sepsis in patients, such as those with severe burn injuries. A set of biomarker and vital sign measurements of a population with a known clinical diagnosis may be collected and normalized. A first subset of the modified set of biomarker and vital sign measurements may be used to train and test the algorithm (e.g. a neural network), and a second subset of the modified set of biomarker and vital sign measurements may be used for secondary validation studies.