Random forests algorithm boosts genetic risk prediction of systemic lupus erythematosus

HIGHLIGHTS

• who: August and collaborators from the Vanderbilt University, United States have published the research: Random forests algorithm boosts genetic risk prediction of systemic lupus erythematosus, in the Journal: (JOURNAL)
• what: The authors compare the performances of three widely used ML algorithms, namely, random forest (RF), support vector machine (SVM), and artificial neural_network (ANN) with the lassosum-based PRS model in predicting SLE development using the data from the previous GWAS that were conducted in either Chinese (3,720 cases and 5,303 controls) or European populations (3,670 cases and 6,515 controls).
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