Preprocessing converts data into a format more suited for input into a machine learning model. Data modeling is the process of selecting and building a machine learning algorithm to generate ...

While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...

The least absolute shrinkage and selection operator-logistic regression (Lasso-LR) model is optimal for predicting ...

Postpartum depression (PPD) affects up to 15 percent of individuals after childbirth. Early identification of patients at risk of PPD could improve proactive mental health support. Researchers ...

More than a decade ago, researchers launched the BabySeq Project, a pilot program to return newborn genomic sequencing results to parents and measure the effects on newborn care. Today, over 30 ...