Method and apparatus for predicting persistent postconcussive neuropsychiatric symptoms using thalamocortical coherence
AssigneeTaipei Medical University
InventorsYI-TIEN LI, CHENG-YU CHEN
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Abstract
The present disclosure provides a method and an apparatus for predicting persistent post-concussive neuropsychiatric symptoms based on thalamocortical coherence. The method includes the following steps: receiving a first set of biomarkers of a plurality of thalamic sub-nuclei of a patient; calculating a first coherence matrix from the first set of biomarkers; and predicting a postconcussive symptom score of the patient for a given time through a machine learning-based predictive model based on the first coherence matrix.
Claims20
A method for predicting persistent post-concussive neuropsychiatric symptoms based on thalamocortical coherence, the method comprising:
- receiving a first set of biomarkers of a plurality of thalamic sub-nuclei of a patient;
- calculating a first coherence matrix from the first set of biomarkers;
- and
- predicting a postconcussive symptom score of the patient for a given time through a machine learning-based predictive model based on the first coherence matrix.
An apparatus for predicting persistent post-concussive neuropsychiatric symptoms based on thalamocortical coherence, the apparatus comprising:
- at least one memory having computer executable instructions stored therein;
- and
- at least one processor coupled to the at least one memory,
- wherein the computer executable instructions cause the at least one processor to perform operations, and the operations comprise:
- receiving a first set of biomarkers of a plurality of thalamic sub-nuclei of a patient;
- calculating a first coherence matrix from the first set of biomarkers;
- and
- predicting a postconcussive symptom score of the patient for a given time through
- a machine learning-based predictive model based on the first coherence matrix.
Dependencies are inferred from the claim text.