AIMC Topic: PubMed

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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 ...
Rare Diseases United States PubMed Epidemiologic Studies Data Curation Humans Neural Networks, Computer
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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...
Language Surveys and Questionnaires Software Data Mining Semantics Natural Language Processing PubMed
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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...
Autism Spectrum Disorder Natural Language Processing Humans Software Benchmarking PubMed
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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...
Technology PubMed Neurosurgical Procedures Artificial Intelligence Neurosurgery
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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 Data Mining Machine Learning 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...
PubMed Humans Information Storage and Retrieval Algorithms Language Linguistics Natural Language Processing Semantics Comprehension
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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...
PubMed Knowledge Bases Deep Learning Authorship
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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.
Humans Data Mining Abstracting and Indexing Pattern Recognition, Automated Randomized Controlled Trials as Topic Machine Learning PubMed Deep Learning
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Machine learning guided association of adverse drug reactions with in vitro target-based pharmacology.

EBioMedicine Jun 18, 2020
BACKGROUND: Adverse drug reactions (ADRs) are one of the leading causes of morbidity and mortality in health care. Understanding which drug targets are linked to ADRs can lead to the development of safer medicines.
Humans Machine Learning PubMed Drug-Related Side Effects and Adverse Reactions
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Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records.

BMC medical informatics and decision making Apr 30, 2020
BACKGROUND: Capturing sentence semantics plays a vital role in a range of text mining applications. Despite continuous efforts on the development of related datasets and models in the general domain, both datasets and models are limited in biomedical...
PubMed Data Mining Information Storage and Retrieval Language Humans Deep Learning Machine Learning Electronic Health Records
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