The data doctor continues his exploration of Python-based machine learning techniques, explaining binary classification using logistic regression, which he likes for its simplicity. The goal of a ...

TRAIL Score: A Simple Model to Predict Immunochemotherapy Tolerability in Patients With Diffuse Large B-Cell Lymphoma We trained models using logistic regression (LR) and four commonly used ML ...

Single nucleotide polymorphism (SNP) interaction plays a critical role for complex diseases. The primary limitation of logistic regressions (LR) in testing SNP–SNP interactions is that coefficient ...

When the discriminative and calibration ability was given priority, the ANN model outperformed the LR model in predicting the risk of OILI. Other chemotherapy drugs in oxaliplatin-based chemotherapy ...

Step 1 was selecting the training cohort (n = 184) and the internal validation cohort (n = 62) by random seeds; Step 2 was selecting the optimal parameters through five times ten-fold cross-validation ...

We already know there are drawbacks and even dangers with Machine Learning (ML). The literature is replete with examples of bias, not necessarily from the algorithms themselves, but from biased ...

Researchers at Rice University have developed a new machine learning (ML) algorithm that excels at interpreting the “light signatures,” or optical spectra, of molecules, materials and disease ...