Hyperlactatemia Prediction

A method to quantitatively predict a patient's serum lactate level, comprising measuring arterial blood pressure and heart rate from the patient, computing estimates of one or more cardiovascular parameters from the measured arterial blood pressure and heart rate, providing one or more classifiers that have been trained on a training data set including a reference set of arterial blood pressure, heart rate, and serum lactate levels and using the one or more classifiers to estimate the serum lactate level of the patient.

Researchers

Andrew Reisner / Thomas Heldt / Michael Filbin / Max Dunitz / George Verghese

Departments: Dept of Electrical Engineering & Computer Science
Technology Areas: Artificial Intelligence (AI) and Machine Learning (ML) / Biomaterials & Bioelectronics: Health Monitoring / Computer Science: Bioinformatics
Impact Areas: Healthy Living

  • system and methods to predict serum lactate level
    United States of America | Granted | 10,327,709

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