Results 191 to 200 of about 7,423,055 (388)
Named entity recognition pipeline for knowledge extraction from scientific literature. Machine learning interatomic potential (MLIP) is an emerging technique that has helped achieve molecular dynamics simulations with unprecedented balance between efficiency and accuracy. Recently, the body of MLIP literature has been growing rapidly, which propels the
Bowen Zheng, Grace X. Gu
wiley +1 more source
opXRD: Open Experimental Powder X‐Ray Diffraction Database
We introduce the Open Experimental Powder X‐ray Diffraction Database, the largest openly accessible collection of experimental powder diffractograms, comprising over 92,000 patterns collected across diverse material classes and experimental setups. Our ongoing effort aims to guide machine learning research toward fully automated analysis of pXRD data ...
Daniel Hollarek+23 more
wiley +1 more source
Bridging the Gap in Medical Informatics and Health Services Research: An Introduction [PDF]
Betsy L. Humphreys
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The article introduces WACEfNet, a new convolutional neural network architecture optimized for efficient aerial image analysis under resource constraints. It creatively integrates attention mechanisms and atrous convolutions into a compact widened residual network framework.
Md Meftahul Ferdaus+4 more
wiley +1 more source
Education and Research in Health Informatics at the Faculty of Medicine of Marseille, Laboratory for Education and Research in Medical Information Processing (LERTIM) [PDF]
Dominique Fieschi+4 more
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This study, utilizing two large‐cohort datasets, employs interpretable neural networks. It demonstrates that incorporating brain morphology and functional and structural networks enhances predictive accuracy for general psychopathology and its dimensions.
Jing Xia, Nanguang Chen, Anqi Qiu
wiley +1 more source
Terveiset Medinfo 2015 konferenssista Sao Paolosta, Brasiliasta 19.–23.8.2015
Medinfo konferenssin järjestää International Medical Informatics Association (IMIA). Konferenssi järjestetään kahden vuoden välein. Medinfo‐konferenssi on terveydenhuollon tietotekniikan ja tiedonhallinnan johtava tieteellinen maailmankonferenssi ...
Ulla-Mari Kinnunen
doaj
OxSpred, an eXtreme‐Gradient‐Boosting‐‐based supervised learning model, accurately annotates oxidative stress in innate immune cells at the single‐cell level, providing interpretable embeddings with significant biological relevance. This innovative tool revolutionizes the understanding of innate immune cell functions during inflammation and enhances ...
Po‐Yuan Chen, Tai‐Ming Ko
wiley +1 more source