African biostatisticians are using routine health data and robust analysis to evaluate HIV and TB programmes in real-world settings, like Malawi’s tuberculosis preventive treatment (TPT), showing high ...

Abstract: Data island effectively blocks the practical application of machine learning. To meet this challenge, a new framework known as federated learning was created. It allows model training on a ...

Reduced blood pressure and improved cognition and mental health are just a few of the documented benefits of spending time in “green” and “blue” spaces. In Singapore, greenery cascades off a luxury ...

ABSTRACT: Introduction: Biopsy procedures represent an essential diagnostic tool in the management of oral lesions. This study aims to evaluate the knowledge, attitudes, and practices of dental ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

The output variable must be either continuous nature or real value. The output variable has to be a discrete value. The regression algorithm’s task is mapping input value (x) with continuous output ...

Lynne Gauthier receives funding from US Army Soldier Center and has prior funding from PCORI, the American Heart Association, and the National MS Society. Jiabin Shen has received funding from ...