Open Heart

Severe aortic stenosis detection using seismocardiography

Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...
BioSpace

AI in CAR T Development: Lessons From the Front Lines

While the benefits of AI are clear, the amount data sets needed for effective AI integration is proving to be a challenge. This is particularly true for cell therapy companies as they are eagerly ...
IEEE

Diabetes Prediction with Random Forest - Logistic Regression algorithm using voting classifier

Abstract: A commonly recognized chronic metabolic condition known as Diabetes mellitus significantly affects the global, social and economic standing of people. Obesity, age, high blood pressure, ...
Frontiers

Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China

Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...
Frontiers

Optimizing predictive features using machine learning for early miscarriage risk following single vitrified-warmed blastocyst transfer

1 Guangxi Reproductive Medical Center, The First Affiliated Hospital of Guangxi Medical University, Nanning, China 2 Reproductive Center, Nanning Maternity and Child Health Hospital, Nanning, Guangxi, ...
Scientific Research Publishing

Kibria, H.B., Nahiduzzaman, M., Goni, M.O.F., Ahsan, M. and Haider, J. (2022) An Ensemble Approach for the Prediction of Diabetes Mellitus Using a Soft Voting Classifier with ...

ABSTRACT: The early detection of type 2 diabetes is a major challenge for healthcare professionals, as a late diagnosis can lead to severe and difficult-to-manage complications. In this context, this ...
Scientific Research Publishing

Kumari, S., Kumar, D. and Mittal, M. (2021) An Ensemble Approach for Classification and Prediction of Diabetes Mellitus Using Soft Voting Classifier. International Journal of ...

ABSTRACT: The early detection of type 2 diabetes is a major challenge for healthcare professionals, as a late diagnosis can lead to severe and difficult-to-manage complications. In this context, this ...