Results 111 to 120 of about 43,712,030 (248)

TEXT MINING – PREREQUISITE FOR KNOWLEDGE MANAGEMENT SYSTEMS [PDF]

open access: yes
Text mining is an interdisciplinary field with the main purpose of retrieving new knowledge from large collections of text documents. This paper presents the main techniques used for knowledge extraction through text mining and their main areas of ...
Dragoº Marcel VESPAN
core  

Text Mining Resources for the Life Sciences [PDF]

open access: yes, 2016
Text mining is a powerful technology for quickly distilling key information from vast quantities of biomedical literature. However, to harness this power the researcher must be well versed in the availability, suitability, adaptability, interoperability ...
Aubin, Sophie   +10 more
core   +1 more source

Application of Machine Learning Approaches in Electrophoresis—A Comprehensive Review

open access: yesELECTROPHORESIS, EarlyView.
This review paper highlights key research on the applications of machine learning tools in electrophoresis. ABSTRACT The electrophoretic technique is widely used to analyze and purify charged molecules based on their size, shape, and charge using an electric field for various applications, including DNA fingerprinting, genetic research, disease ...
Umaeer Al Hammad   +2 more
wiley   +1 more source

Towards PubMed 2.0

open access: yeseLife, 2017
Staff from the National Center for Biotechnology Information in the US describe recent improvements to the PubMed search engine and outline plans for the future, including a new experimental site called PubMed Labs.
Nicolas Fiorini   +2 more
doaj   +1 more source

Biomedical Ontologies and Text Mining for Biomedicine and Healthcare: A Survey

open access: yesJournal of Computing Science and Engineering, 2008
In this survey paper, we discuss biomedical ontologies and major text mining techniques applied to biomedicine and healthcare. Biomedical ontologies such as UMLS are currently being adopted in text mining approaches because they provide domain knowledge for text mining approaches.
Illhoi Yoo, Min Song 0001
openaire   +2 more sources

A Comprehensive Review on Advancements in Photocatalytic Applications of Nanostructured Metal Oxides Toward Environmental Remediation

open access: yesElectron, EarlyView.
Advanced metal oxide photocatalysts and their composites demonstrate remarkable potential for sustainable environmental remediation and energy applications by enabling efficient pollutant degradation, CO2 reduction, and NOx removal. This review highlights recent advances in synthesis strategies, photocatalytic mechanisms, and multifunctional ...
Surjeet Chahal   +6 more
wiley   +1 more source

Thermally Conductive and Electrically Insulating Thermal Interface Materials for Advanced Packaging: From Filler and Interface Engineering to Thermal Networks

open access: yesElectron, EarlyView.
This review establishes a hierarchical framework linking physical fundamentals, filler and interface engineering, and thermal‐network construction for thermally conductive yet electrically insulating thermal interface materials. It identifies package‐level co‐optimization of heat transport, electrical insulation, processability, and reliability as the ...
Fugeng Wu   +9 more
wiley   +1 more source

Rekonstruktion und Analyse interzellulärer Signalnetzwerke [PDF]

open access: yes, 2006
Skusa A. Reconstruction and analysis of intercellular signaling networks. Bielefeld (Germany): Bielefeld University; 2006.Cells in the human body communicate over long distances via two systems, the humoral system and the neuronal system.
Skusa, Andre
core  

Feasibility Assessment of Extracting Social Determinants of Health From Electronic Medical Records: A Multicenter Study Across Chinese Healthcare Institutions

open access: yesHealth Care Science, EarlyView.
We developed a China‐specific social determinants of health (SDoH) framework and extracted SDoH information from a database of 5.6 million electronic medical records (EMRs) across more than 40 centers. The results showed that these EMRs include extractable data covering some SDoH categories, with moderate completeness and high availability.
Mengchun Gong   +9 more
wiley   +1 more source

Intelligent diagnosis‐related group classification for 134,189 patients in eastern China using machine learning

open access: yesJournal of Intelligent Medicine, EarlyView.
Intelligent DRG Classification with ELGWO‐LightGBM. Abstract Diagnosis‐related group (DRG) classification is crucial for healthcare cost management and resource allocation, but traditional manual classification by physicians is inefficient and error‐prone, especially for large‐scale medical data.
Yanxi Zhang   +3 more
wiley   +1 more source

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