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AI Biotech/Diagnostics: Other Innovation
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Application US20200143922
Published 2020-05-07
Methods And Apparatus For Predicting Depression Treatment Outcomes
Methods and apparatus for providing a treatment recommendation for a patient having a depression disorder. The method comprising receiving patient information including patient responses to each of a plurality of questions provided on a questionnaire, processing, with a trained statistical model, at least some of the received patient information to determine treatment recommendation information for the patient, and transmitting the treatment recommendation information to an electronic device.
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- 1. A system for providing a treatment recommendation for a patient having a depression disorder, the system comprising:
a server computer configured to:
receive patient information including patient responses to each of a plurality of questions provided on a questionnaire;
process, with a trained statistical model, a set of values determined based, at least in part, on at least some of the received patient information to determine treatment recommendation information for the patient; and
transmit the treatment recommendation information to an electronic device.
- 13. A system for training a statistical model used to predict a treatment outcome for patients having depression, the system comprising:
a server computer configured to:
determine a set of features to include in the statistical model;
train the statistical model using a first labeled dataset of values for the determined set of features, wherein the first labeled dataset includes clinical outcomes and patient information for each of a first plurality of patients; and
output the trained statistical model.
- 16. A method of providing a treatment recommendation for a patient having a depression disorder, the method comprising:
processing using a trained statistical model executing on at least one computer processor, a set of values determined based, at least in part, on patient information including patient responses to each of a plurality of questions provided on a questionnaire; determining treatment recommendation information based, at least in part, on output of the trained statistical model; and transmitting the treatment recommendation information to an electronic device.
- 21. A system for classifying, based on their symptoms, patients having a depression disorder into one or more symptom cluster groups, the system comprising:
a server computer configured to:
receive patient responses to each of a plurality of questions provided on a questionnaire by a plurality of patients;
apply a symptom clustering technique to the received patient responses to determine a plurality of symptom cluster groups; and
output a representation of the plurality of symptom cluster groups.
