Predicting Anemia Risk in Iranian Adults Using Interpretable Machine Learning
Anemia prediction models in Iranian adults achieve a validated AUC of 0.8625 using Logistic Regression after researchers strip away circular data flaws, according to a methodological re-examination of public health screening frameworks. The corrected framework addresses earlier data leakage issues, replacing a flawed near-perfect AUC of 1.00. Methodological Flaws in Original Machine Learning Models Initial … Read more