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Data mining and predictive analytics applications for the delivery of healthcare services: a systematic literature review
With the widespread use of healthcare information systems commonly known as electronic
health records, there is significant scope for improving the way healthcare is delivered by …
health records, there is significant scope for improving the way healthcare is delivered by …
[HTML][HTML] The DDI corpus: An annotated corpus with pharmacological substances and drug–drug interactions
The management of drug–drug interactions (DDIs) is a critical issue resulting from the
overwhelming amount of information available on them. Natural Language Processing …
overwhelming amount of information available on them. Natural Language Processing …
PHEE: A dataset for pharmacovigilance event extraction from text
The primary goal of drug safety researchers and regulators is to promptly identify adverse
drug reactions. Doing so may in turn prevent or reduce the harm to patients and ultimately …
drug reactions. Doing so may in turn prevent or reduce the harm to patients and ultimately …
DINTO: using OWL ontologies and SWRL rules to infer drug–drug interactions and their mechanisms
The early detection of drug–drug interactions (DDIs) is limited by the diffuse spread of DDI
information in heterogeneous sources. Computational methods promise to play a key role in …
information in heterogeneous sources. Computational methods promise to play a key role in …
Annotation and detection of drug effects in text for pharmacovigilance
P Thompson, S Daikou, K Ueno… - Journal of …, 2018 - Springer
Pharmacovigilance (PV) databases record the benefits and risks of different drugs, as a
means to ensure their safe and effective use. Creating and maintaining such resources can …
means to ensure their safe and effective use. Creating and maintaining such resources can …
[HTML][HTML] Drugsemantics: a corpus for named entity recognition in spanish summaries of product characteristics
I Moreno, E Boldrini, P Moreda… - Journal of biomedical …, 2017 - Elsevier
For the healthcare sector, it is critical to exploit the vast amount of textual health-related
information. Nevertheless, healthcare providers have difficulties to benefit from such quantity …
information. Nevertheless, healthcare providers have difficulties to benefit from such quantity …
[PDF][PDF] Using natural language processing to extract drug-drug interaction information from package inserts
The package insert (aka drug product label) is the only publicly-available source of
information on drug-drug interactions (DDIs) for some drugs, especially newer ones. Thus …
information on drug-drug interactions (DDIs) for some drugs, especially newer ones. Thus …
Fulfilling information needs of patients in online health communities
Background Online health communities (OHC s) experience difficulties in utilising patient
reported posts to fulfil the information needs of online patients concerning health related …
reported posts to fulfil the information needs of online patients concerning health related …
Knowledge discovery from posts in online health communities using unified medical language system
Patient-reported posts in Online Health Communities (OHCs) contain various valuable
information that can help establish knowledge-based online support for online patients …
information that can help establish knowledge-based online support for online patients …
Conceptual models of drug-drug interactions: A summary of recent efforts
Conceptual modeling elicits and describes general knowledge in a particular domain and is
a fundamental step in the development of knowledge-based systems. However, different …
a fundamental step in the development of knowledge-based systems. However, different …