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[HTML][HTML] Drug repurposing for COVID-19 via knowledge graph completion
Objective To discover candidate drugs to repurpose for COVID-19 using literature-derived
knowledge and knowledge graph completion methods. Methods We propose a novel …
knowledge and knowledge graph completion methods. Methods We propose a novel …
[HTML][HTML] Social and behavioral determinants of health in the era of artificial intelligence with electronic health records: a sco** review
Background. There is growing evidence that social and behavioral determinants of health
(SBDH) play a substantial effect in a wide range of health outcomes. Electronic health …
(SBDH) play a substantial effect in a wide range of health outcomes. Electronic health …
[HTML][HTML] Enhancing the coverage of SemRep using a relation classification approach
Objective: Relation extraction is an essential task in the field of biomedical literature mining
and offers significant benefits for various downstream applications, including database …
and offers significant benefits for various downstream applications, including database …
Discovering novel drug-supplement interactions using SuppKG generated from the biomedical literature
Objective Develop a novel methodology to create a comprehensive knowledge graph
(SuppKG) to represent a domain with limited coverage in the Unified Medical Language …
(SuppKG) to represent a domain with limited coverage in the Unified Medical Language …
Develo** a knowledge graph for pharmacokinetic natural product-drug interactions
Background Pharmacokinetic natural product-drug interactions (NPDIs) occur when
botanical or other natural products are co-consumed with pharmaceutical drugs. With the …
botanical or other natural products are co-consumed with pharmaceutical drugs. With the …
Active learning in multi-label classification of bioacoustic data
Abstract Passive Acoustic Monitoring (PAM) has become a key technology in wildlife
monitoring, providing vast amounts of acoustic data. The recording process naturally …
monitoring, providing vast amounts of acoustic data. The recording process naturally …
[HTML][HTML] A knowledge graph of combined drug therapies using semantic predications from biomedical literature: Algorithm development
J Du, X Li - JMIR medical informatics, 2020 - medinform.jmir.org
Background: Combination therapy plays an important role in the effective treatment of
malignant neoplasms and precision medicine. Numerous clinical studies have been carried …
malignant neoplasms and precision medicine. Numerous clinical studies have been carried …
A framework for safeguarding artificial intelligence systems within healthcare
Artificial intelligence and augmented computing capabilities have long held the promise of
refining prediction and prognostication of diseases and events in healthcare (Centers for …
refining prediction and prognostication of diseases and events in healthcare (Centers for …
Active Learning in Multi-label
Passive Acoustic Monitoring (PAM) has become a key technology in wildlife monitoring,
providing vast amounts of acoustic data. The recording process naturally generates multi …
providing vast amounts of acoustic data. The recording process naturally generates multi …
Discovering novel drug-supplement interactions using a dietary supplements knowledge graph generated from the biomedical literature
OBJECTIVE: Leverage existing biomedical NLP tools and DS domain terminology to
produce a novel and comprehensive knowledge graph containing dietary supplement (DS) …
produce a novel and comprehensive knowledge graph containing dietary supplement (DS) …