AIMC Topic: PubMed
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A novel tool that allows interactive screening of PubMed citations showed promise for the semi-automation of identification of Biomedical Literature.
Journal of clinical epidemiology
Jun 20, 2022
BACKGROUND AND OBJECTIVES: Systematic reviews form the basis of evidence-based medicine, but are expensive and time-consuming to produce. To address this burden, we have developed a literature identification system (Pythia) that combines the query fo...
Discovering novel drug-supplement interactions using SuppKG generated from the biomedical literature.
Journal of biomedical informatics
Jun 13, 2022
OBJECTIVE: Develop a novel methodology to create a comprehensive knowledge graph (SuppKG) to represent a domain with limited coverage in the Unified Medical Language System (UMLS), specifically dietary supplement (DS) information for discovering drug...
Plant phenotype relationship corpus for biomedical relationships between plants and phenotypes.
Scientific data
May 26, 2022
Medicinal plants have demonstrated therapeutic potential for applicability for a wide range of observable characteristics in the human body, known as "phenotype," and have been considered favorably in clinical treatment. With an ever increasing inter...
Benchmarking for biomedical natural language processing tasks with a domain specific ALBERT.
BMC bioinformatics
Apr 21, 2022
BACKGROUND: The abundance of biomedical text data coupled with advances in natural language processing (NLP) is resulting in novel biomedical NLP (BioNLP) applications. These NLP applications, or tasks, are reliant on the availability of domain-speci...
Visualization of medical concepts represented using word embeddings: a scoping review.
BMC medical informatics and decision making
Mar 29, 2022
BACKGROUND: Analyzing the unstructured textual data contained in electronic health records (EHRs) has always been a challenging task. Word embedding methods have become an essential foundation for neural network-based approaches in natural language p...
Advancements of Artificial Intelligence in Liver-Associated Diseases and Surgery.
Medicina (Kaunas, Lithuania)
Mar 22, 2022
The advancement of artificial intelligence (AI) based technologies in medicine is progressing rapidly, but the majority of its real-world applications has not been implemented. The establishment of an accurate diagnosis with treatment has now transi...
An annotated corpus from biomedical articles to construct a drug-food interaction database.
Journal of biomedical informatics
Jan 7, 2022
MOTIVATION: While drug-food interaction (DFI) may undermine the efficacy and safety of drugs, DFI detection has been difficult because a well-organized database for DFI did not exist. To construct a DFI database and build a natural language processin...
HLA-SPREAD: a natural language processing based resource for curating HLA association from PubMed abstracts.
BMC genomics
Jan 7, 2022
Extreme complexity in the Human Leukocyte Antigens (HLA) system and its nomenclature makes it difficult to interpret and integrate relevant information for HLA associations with diseases, Adverse Drug Reactions (ADR) and Transplantation. PubMed searc...
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...
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...
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