We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
Ultrafiltration membranes used in pharmaceutical manufacturing and other industrial processes have long relied on separating molecules by size. Now, Cornell researchers have created porous materials ...
Department of Preventive Medicine, College of Basic Medicine and Forensic Medicine, Henan University of Science and Technology, Luoyang, China Background: Effective connectivity (EC) refers to the ...
Prior work on readmission prediction used diverse features and ML/DL models; our study advances this with superior text mining and broader model comparison. (1) Rasoul Samani, School of Electrical and ...
Department of Pediatric Gastroenterology, Chengdu Women’s and Children’s Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China Objective: The ...
Image classification performs an influential role in the field of computer vision, while deep learning has brought remarkable progress for image classification. Targeting the flower image ...
Abstract: In this study, we aim to develop a respiratory disease detection and classification model using machine learning techniques. Respiratory diseases are a significant global health problem, and ...
1 Department of Computer Science, Rutgers University, New Brunswick, NJ, USA. 2 Department of Computer Science, Rochester Institute of Technology, Rochester, NY, USA. This paper presents a ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results