Patent ID: 11942189
Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 15:
16. A drug efficacy prediction method, the method comprising:
treating a genetic disease of a patient, at least by making gene expression measurements for the patient to obtain gene expression data, and by performing the following computer-implemented method to obtain a drug efficacy prediction for that patient:
determining relevance of a gene to efficacy of a particular pharmaceutical drug based on prior knowledge indicating known or predicted sensitivity of genetic characteristics to action of the particular pharmaceutical drug;
storing, based on a dataset correlating data for disease-cell samples with drug efficacy values for the disease-cell samples, bias weights corresponding to respective genes in samples, the bias weights being dependent on relevance of respective genes to drug efficacy for the respective genes and being determined prior to generating a machine learning model, wherein bias weights assigned to genes relevant to drug efficacy are assigned higher values than what are assigned as values for bias weights assigned to genes that are non-relevant to drug efficacy;
generating the machine learning model for drug efficacy prediction in treatment of genetic disease from the dataset, the generating the machine learning model comprising:
processing said dataset via a tree ensemble method wherein decision trees are grown with splits corresponding to respective genes in said samples, the genes for the splits being chosen from respective subsets of said genes and based on respective selection probabilities dependent on corresponding bias weights and the bias weights are translated during the processing into the selection probabilities for generating the splits; and
storing said machine learning model;

receiving gene expression data of the patient;
applying the machine learning model to that gene expression data to obtain a drug efficacy prediction for the patient; and
outputting the drug efficacy prediction for use in treatment of the patient.