Patent ID: 11961619
Assignee: BRAIN TRUST INNOVATIONS I, LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method for predicting an outcome associated with a new patient event, the method comprising:
receiving a plurality of input attributes of the new patient event;
performing pre-processing on the plurality of input attributes to generate an input data set;
generating an output value from a trained model based upon the input data set;
classifying the output value into a surgical intervention risk category to predict the outcome;
storing a plurality of past patient events, each of the plurality of past patient events including a plurality of input attributes and a quantifiable outcome; and
training a neural network model (NNM) to generate the trained model, wherein the training of the NNM includes:
performing pre-processing on the plurality of input attributes for each of the plurality of past patient events to generate a plurality of input data sets;
dividing the plurality of past patient events into a first set of training data and a second set of validation data;
iteratively performing a machine learning algorithm (MLA) to update synaptic weights of the NNM based upon the training data; and
validating the NNM based upon the second set of validation data.