Early prediction of in-hospital pneumonia mortality can effectively be done using a machine learning (ML) model based on clinical data.

Scientists say they have worked out a machine learning method with the ability to provide close to precise survival estimates ...

A novel machine learning model enhances colorectal cancer (CRC) prognosis and immunotherapy response prediction by ...

We developed statistical and machine learning ... disease or unspecified IBD, potentially owing to the increased prevalence of premature deaths among people with those subtypes (Table 3), as indicated ...

But when researchers used a machine learning algorithm ... their roles in disease etiology and their potential use as biomarkers. Additionally, adapting this prediction model to other environments ...

But when researchers used a machine learning algorithm ... their roles in disease etiology and their potential use as biomarkers. Additionally, adapting this prediction model to other environments ...

The systematic review analyzed various integration strategies for classification and regression models, including majority voting, weighted voting, stacking, and model ... Disease prediction models ...

researchers discuss the development of an automated system using machine learning (ML) algorithms that can quantify motor symptoms in Parkinson's disease (PD) and predict disease progression.

Abstract: According to the World Health Organization (WHO), some chronic diseases such as diabetes mellitus, stroke, cancer, cardiac vascular, kidney failure, and hypertension are essential for early ...

In a recent study published in Scientific Reports, researchers developed a machine learning-based heart disease prediction ... model output. The model selects relevant features using the recursive ...

Heart disease is ... heart disease prediction. This study has done a comprehensive review of 30 articles published between 1997 to 2023 about machine learning techniques to predict heart disease. The ...