A New Machine Learning Approach Answers What-If Questions
1. S. Feuerriegel, Y.R. Shrestha, G. von Krogh, et al., “Bringing Artificial Intelligence to Business Management,” Nature Machine Intelligence 4,...
Learning
World’s First Machine Learning Model Combats Wrong-Site Surgery – Surgical Techniques
Image: The machine learning approach identifies wrong-site surgeries (Photo courtesy of 123RF/Rawpixel) Wrong-site surgery (WSS), classified as a critical "Never...
An assessment of machine learning methods to quantify blood lactate from neutrophils phagocytic activity
Experimental setup and data collectionThis study follows the experimental setup and data collection protocol discussed in the previous study26. Blood...
A feature explainability-based deep learning technique for diabetic foot ulcer identification
This study employs a model that has been previously trained to extract visual data from diabetic foot photos and uses...
Application of deep learning for fruit defect recognition in Psidium guajava L
Table 1 presents the training results. In the overall image database, a total of 1701 images were marked using thirteen labels...
Development and validation of machine learning models based on stacked generalization to predict psychosocial maladjustment in patients with acute myocardial infarction | BMC Psychiatry
Participants and data collectionA convenience sampling method was used to recruit young and middle-aged patients with AMI who were treated...
