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Machine learning model boosts success of liver transplants from circulatory death donors

There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a ...
The Lancet

Development and validation of a machine-learning model to reduce futile procurements in donations after circulatory death in liver transplantation in the USA…

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Machine learning teaches membranes to sort by chemical affinity

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 ...
Frontiers

Classification of neurodegenerative diseases using brain effective connectivity and machine learning techniques: a systematic review

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 ...
Hacker

A Survey of Machine Learning Approaches for Predicting Hospital Readmission

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 ...
Frontiers

Clinical prediction model by machine learning to determine the results of maternal dietary avoidance in food protein-induced allergic proctocolitis infants

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 ...
IEEE

Transfer Learning-Based Flower Image Classification: Leveraging The Pre-Trained Alexnet Model

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 ...