AIMC Topic: PubMed

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Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies.

Journal of biomedical informatics Dec 30, 2021
OBJECTIVE: Temporal electronic health records (EHRs) contain a wealth of information for secondary uses, such as clinical events prediction and chronic disease management. However, challenges exist for temporal data representation. We therefore sough...
Electronic Health Records Deep Learning PubMed
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Toward a Coronavirus Knowledge Graph.

Genes Jun 29, 2021
This study builds a coronavirus knowledge graph (KG) by merging two information sources. The first source is Analytical Graph (AG), which integrates more than 20 different public datasets related to drug discovery. The second source is CORD-19, a col...
Chloroquine Hydroxychloroquine Computer Graphics Hemorrhagic Fever, Ebola Pattern Recognition, Automated Receptors, Interleukin-6 Databases, Factual Humans Peptidyl-Dipeptidase A PubMed SARS-CoV-2 STAT1 Transcription Factor COVID-19 Knowledge Bases
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Recurrent Neural Networks to Automatically Identify Rare Disease Epidemiologic Studies from PubMed.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science May 17, 2021
Rare diseases affect between 25 and 30 million people in the United States, and understanding their epidemiology is critical to focusing research efforts. However, little is known about the prevalence of many rare diseases. Given a lack of automated ...
Data Curation Rare Diseases Neural Networks, Computer United States PubMed Epidemiologic Studies Humans
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Protocol for a reproducible experimental survey on biomedical sentence similarity.

PloS one Mar 24, 2021
Measuring semantic similarity between sentences is a significant task in the fields of Natural Language Processing (NLP), Information Retrieval (IR), and biomedical text mining. For this reason, the proposal of sentence similarity methods for the bio...
Software Language PubMed Data Mining Semantics Surveys and Questionnaires Natural Language Processing
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Natural language processing (NLP) tools in extracting biomedical concepts from research articles: a case study on autism spectrum disorder.

BMC medical informatics and decision making Dec 30, 2020
BACKGROUND: Natural language processing (NLP) tools can facilitate the extraction of biomedical concepts from unstructured free texts, such as research articles or clinical notes. The NLP software tools CLAMP, cTAKES, and MetaMap are among the most w...
PubMed Natural Language Processing Benchmarking Software Humans Autism Spectrum Disorder
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Artificial Intelligence Technologies in Neurosurgery: a Systematic Literature Review Using Topic Modeling. Part II: Research Objectives and Perspectives.

Sovremennye tekhnologii v meditsine Dec 28, 2020
UNLABELLED: The current increase in the number of publications on the use of artificial intelligence (AI) technologies in neurosurgery indicates a new trend in clinical neuroscience. was to conduct a systematic literature review to highlight the mai...
Neurosurgery Neurosurgical Procedures Artificial Intelligence PubMed Technology
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Literature mining for context-specific molecular relations using multimodal representations (COMMODAR).

BMC bioinformatics Oct 26, 2020
Biological contextual information helps understand various phenomena occurring in the biological systems consisting of complex molecular relations. The construction of context-specific relational resources vastly relies on laborious manual extraction...
PubMed Machine Learning Data Mining Publications
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Understanding the spatial dimension of natural language by measuring the spatial semantic similarity of words through a scalable geospatial context window.

PloS one Jul 23, 2020
Measuring the semantic similarity between words is important for natural language processing tasks. The traditional models of semantic similarity perform well in most cases, but when dealing with words that involve geographical context, spatial seman...
Information Storage and Retrieval Semantics Natural Language Processing PubMed Comprehension Linguistics Humans Algorithms Language
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Building a PubMed knowledge graph.

Scientific data Jun 26, 2020
PubMed is an essential resource for the medical domain, but useful concepts are either difficult to extract or are ambiguous, which has significantly hindered knowledge discovery. To address this issue, we constructed a PubMed knowledge graph (PKG) b...
Authorship Deep Learning PubMed Knowledge Bases
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Toward automatic evaluation of medical abstracts: The current value of sentiment analysis and machine learning for classification of the importance of PubMed abstracts of randomized trials for stroke.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jun 23, 2020
BACKGROUND: Text mining with automatic extraction of key features is gaining increasing importance in science and particularly medicine due to the rapidly increasing number of publications.
Abstracting and Indexing Pattern Recognition, Automated Humans PubMed Machine Learning Data Mining Deep Learning Randomized Controlled Trials as Topic
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