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

Claim 14:
15. A computer implemented method for predicting a diagnosis associated with a new patient event based upon computerized tomography (CT) scan images, the method comprising:
receiving a plurality of input attributes including intensity values in Hounsfield units of pixels in the CT scan images;
performing pre-processing on the plurality of input attributes to generate an input data set;
generating an output value from a trained model stored in a non-transitory storage device associated with a server device based upon the input data set;
predicting the diagnosis based upon the output value;
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;
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.