Results 71 to 80 of about 12,045,326 (363)
Better Call the Plumber: Orchestrating Dynamic Information Extraction Pipelines [PDF]
arXiv, 2021 In the last decade, a large number of Knowledge Graph (KG) information extraction approaches were proposed. Albeit effective, these efforts are disjoint, and their collective strengths and weaknesses in effective KG information extraction (IE) have not been studied in the literature.
arxiv
Information, 2021 Depression is a common mental health disorder that affects an individual’s moods, thought processes and behaviours negatively, and disrupts one’s ability to function optimally.
Isuri Anuradha Nanomi Arachchige +2 more
doaj +1 more source
Big Data Management in Drug–Drug Interaction: A Modern Deep Learning Approach for Smart Healthcare
Big Data and Cognitive Computing, 2022 The detection and classification of drug–drug interactions (DDI) from existing data are of high importance because recent reports show that DDIs are among the major causes of hospital-acquired conditions and readmissions and are also necessary for smart ...
Muhammad Salman +5 more
doaj +1 more source
Applied Sciences, 2019 Clinical named entity recognition is an essential task for humans to analyze large-scale electronic medical records efficiently. Traditional rule-based solutions need considerable human effort to build rules and dictionaries; machine learning-based ...
Jianliang Yang +4 more
doaj +1 more source
Information, 2022 The weigh-in-motion (WIM) system weighs the entire vehicle by identifying the dynamic forces of each axle of the vehicle on the road. The load of each axle is very important to detect the total weight of the vehicle.
Shuanfeng Zhao +4 more
doaj +1 more source
Medical Information Extraction in the Age of Deep Learning
Yearbook of Medical Informatics, 2020 Summary Objectives: We survey recent developments in medical Information Extraction (IE) as reported in the literature from the past three years. Our focus is on the fundamental methodological paradigm shift from standard Machine Learning (ML) techniques
U. Hahn, Michel Oleynik
semanticscholar +1 more source
Insights into PI3K/AKT signaling in B cell development and chronic lymphocytic leukemia
FEBS Letters, EarlyView.This Review explores how the phosphoinositide 3‐kinase and protein kinase B pathway shapes B cell development and drives chronic lymphocytic leukemia, a common blood cancer. It examines how signaling levels affect disease progression, addresses treatment challenges, and introduces novel experimental strategies to improve therapies and patient outcomes.
Maike Buchner
wiley +1 more source
Road Extraction Based on Improved Convolutional Neural Networks with Satellite Images
Applied Sciences, 2022 Deep learning has been applied in various fields for its effective and accurate feature learning capabilities in recent years. Currently, information extracted from remote sensing images with the learning methods has become the most relevant research ...
Lei He, Bo Peng, Dan Tang, Yuxia Li
doaj +1 more source
Enhancing Keyphrase Extraction from Academic Articles with their Reference Information [PDF]
arXiv, 2021 With the development of Internet technology, the phenomenon of information overload is becoming more and more obvious. It takes a lot of time for users to obtain the information they need. However, keyphrases that summarize document information highly are helpful for users to quickly obtain and understand documents.
arxiv
Data-driven materials research enabled by natural language processing and information extraction
Applied Physics Reviews, 2020 Given the emergence of data science and machine learning throughout all aspects of society, but particularly in the scientific domain, there is increased importance placed on obtaining data. Data in materials science are particularly heterogeneous, based
E. Olivetti +6 more
semanticscholar +1 more source