A machine learning model was able to accurately predict peak and average intraocular pressure (IOP), according to a study published in Frontiers in Medicine. 1 This learning model could help with ...

Prediction model testing revealed that AutMedAI could accurately identify and diagnose 78.9% (n = 9,417) of participants as having ASD or not (AUROC = 0.790).

Then, selected variables from the univariate analysis were incorporated into multivariate lasso regression prediction models of EC recurrence. Data types were progressively combined to create more ...

Methods: Using the administrative health data of people with IBD who died between 2010 and 2020 in Ontario, Canada, we conducted a population-based, retrospective cohort study. We described the ...

Recently, ML has emerged as a viable method to harness large volumes of health care data and predict disease risk across a broad swath of clinical domains. 16 - 19 Yet, to our knowledge, to date, ...

The research evaluates several algorithms—including Decision Tree, Random Forest, Support Vector Regression (SVR), and Gradient Boosting—using a dataset of 776 global crude oil samples.