Patient selection based on drug mechanism
OwnerRitankar Das, Samson Mataraso +1inventors
InventorsRitankar Das, Samson Mataraso, Jacob Calvert
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Abstract
Methods for identifying to which patients a drug should be administered, based on underlying drug mechanism of action, are provided. Machine learning techniques are used to determine that patient's underlying disease pathway includes drug mechanism of action target; the drug is then administered, based on this determination. Multiple types of data, including demographic, physiological, treatment, and clinical notes data, can be used to train a classification component. Multiple patient populations can be used as sources of patient data for training classification component. Data input requirements, dimensionality, and performance metrics may be optimized.
Claims20
A method of identifying a candidate patient for drug treatment, comprising:
- acquiring patient data from a plurality of patients;
- comparing the acquired patient data to classified anonymized patient health record data;
- and
- identifying the candidate patient based on whether or not the drug's mechanism of action is efficacious in treating a specific manifestation of the candidate patient's condition as evidenced by the classified anonymized patient health record data.
A method of using a machine learning algorithm for identifying a candidate patient for drug treatment, comprising:
- acquiring anonymized patient health record data from a plurality of patients;
- comparing acquired patient data to the acquired anonymized patient health record data;
- and
- identifying the candidate patient based on whether or not the drug's mechanism of action is efficacious in treating a specific manifestation of the candidate patient's condition as evidenced by the anonymized patient health record data.
Dependencies are inferred from the claim text.