Tag: Machine Learning
All the articles with the tag "Machine Learning".
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Building a member-month churn panel in dbt without leaking the future
Turn eligibility, medical and pharmacy claims into a leak-free member-month training table for disenrollment prediction, with dbt tests and Snowflake ML.
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Feature engineering from claims data for a Random Forest classifier
Healthcare claims have dozens of potential features for patient risk models. Here's how to select and validate features from a Tuva Project dataset for a Random Forest classifier predicting HCC gaps.
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Predicting patient risk with scikit-learn on top of HCC suspecting data
A Random Forest classifier on Tuva's hcc_suspecting__summary table, using age, sex, paid amount, and condition count to predict which patients have above-median HCC gaps.
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How to Choose the Best Classification Model Based on Performance Metrics
When working on machine learning classification tasks, selecting the best model often involves analyzing various performance metrics like accuracy, precision, recall, and F1-score. In this post, I’ll