Techniques for predicting and treating post-operative outcomes in surgery patients

A non-transitory computer-readable medium carrying one or more sequences of instructions, wherein execution of the one or more sequences of instructions by one or more processors causes the one or more processors to perform at least:

• obtaining, on a processor, first data for a subject undergoing surgery, wherein the first data indicates demographic information for the subject or medical history for the subject or surgery information about the surgery, or some combination;
• generating, on the processor, neural network output data that indicates a first probability for the subject developing post-operative outcome by inputting the first data into an input layer of a neural network trained with training data that indicates, for a retrospective plurality of prior patients of spinal surgery, demographic information for the retrospective plurality or medical history for the retrospective plurality or surgery information about spinal surgeries for the retrospective plurality, or some combination, and post-operative outcomes for the retrospective plurality;
• and
• sending from the processor a signal that indicates a post-operative outcome classification for the subject based at least in part on the neural network output data, wherein treatment of the subject is based at least in part on the signal.

An apparatus comprising:

• at least one processor;
• and
• at least one memory including one or more sequences of instructions,
• the at least one memory and the one or more sequences of instructions configured to, with the at least one processor, cause the apparatus to perform at least the following,
• obtain, on a processor, first data for a subject undergoing surgery, wherein the first data indicates demographic information for the subject or medical history for the subject or surgery information about the surgery, or some combination;
• generate, on the processor, neural network output data that indicates a first probability for the subject developing post-operative outcome by inputting the first data into an input layer of a neural network trained with training data that indicates, for a retrospective plurality of prior patients of spinal surgery, demographic information for the retrospective plurality or medical history for the retrospective plurality or surgery information about spinal surgeries for the retrospective plurality, or some combination, and post-operative outcomes for the retrospective plurality;
• and
• send from the processor a signal that indicates a post-operative outcome classification for the subject based at least in part on the neural network output data, wherein treatment of the subject is based at least in part on the signal.