A statistical analysis and predictive modeling project in R, examining how lifestyle and clinical factors relate to diabetes risk using real public health survey data. Combines formal hypothesis ...

Abstract: Explainable artificial intelligence is beneficial in converting opaque machine learning models into transparent ones and outlining how each one makes decisions in the healthcare industry. To ...

Machine Learning Models Three supervised classification algorithms were implemented and tested with every vectorisation method: 4.1 Multinomial Naive Bayes Probabilistic model, works very well with ...

New research suggests that low handgrip strength alone is not a reliable predictor of increased prostate cancer risk among ...

Objective Unlike several other fields of healthcare, little is known about the size of ‘therapist effects’ on patient ...

New research suggests that low handgrip strength alone is not a reliable predictor of increased prostate cancer risk among ...

Abstract: Early detection of stroke warning symptoms can help reduce the severity of ischemic stroke, the leading cause of mortality and disability worldwide. This study aims to develop a model to ...

3 Department of Civil and Environmental Engineering, Faculty of Engineering, Iwate University, Morioka-shi, Iwate, Japan 4 Department of Nutrition, Faculty of Health and Nutrition, Tokaigakuen ...

Background Sociodemographic inequalities impact patients with non-small cell lung cancer (NSCLC). Advances in novel ...

Objective This study aims to explore disparities in eHealth literacy and perspectives on digital health among parents of ...