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C&EN15d
Machine Learning-Based Surrogates for Predicting Low Saline Water Flooding in Sandstone Reservoirs
Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Frontiers15d
Using machine learning to identify patient characteristics to predict mortality of in-patients with COVID-19 in South Florida
Individual Chi-squaree results of the 24 demographic features predicting “mortality”. Using a traditional statistics ... such as diarrhea, diabetes, and hypertension. The study also reported that ...
IEEE17d
A Comparative Study to Predict the Diabetes Risk Using Different Kernels of Support Vector Machine
This research study aims to predict diabetes for a patient with a higher exactness by consolidating the aftereffects via Machine Learning methods including Support Vector Machine (SVM). In this system ...
IEEE25d
Predicting Diabetes Using Stacked Dense Forwarded Network Model with Variable Analysis
This study introduces a deep learning (DL) framework aimed at predicting the likelihood of diabetes in individuals. The proposed method leverages a Stacked Dense Forwarded Network Model (SDFNM) for ...
Frontiers27d
Cost-effectiveness of the 3E model in diabetes management: a machine learning approach to assess long-term economic impact
Background: This study investigated the cost-effectiveness and clinical impact of the 3E model (education, empowerment, and economy) in diabetes management using ... of machine learning models (XG ...
C&EN28d
Exposome-Scale Investigation of Cl-/Br-Containing Chemicals Using High-Resolution Mass Spectrometry, Multistage Machine Learning, and Cloud Computing
Department of Chemistry, Faculty of Science, University of British Columbia, Vancouver Campus, 2036 Main Mall, Vancouver, British Columbia V6T 1Z1, Canada ...