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Information retrieval and text mining technologies for chemistry
Efficient access to chemical information contained in scientific literature, patents, technical
reports, or the web is a pressing need shared by researchers and patent attorneys from …
reports, or the web is a pressing need shared by researchers and patent attorneys from …
[Retracted] Integration of Artificial Intelligence and Blockchain Technology in Healthcare and Agriculture
Over the last decade, the healthcare sector has accelerated its digitization and electronic
health records (EHRs). As information technology progresses, the notion of intelligent health …
health records (EHRs). As information technology progresses, the notion of intelligent health …
Off-label indications for antidepressants in primary care: descriptive study of prescriptions from an indication based electronic prescribing system
Objective To examine off-label indications for antidepressants in primary care and determine
the level of scientific support for off-label prescribing. Design Descriptive study of …
the level of scientific support for off-label prescribing. Design Descriptive study of …
Use of machine learning in geriatric clinical care for chronic diseases: a systematic literature review
A Choudhury, E Renjilian, O Asan - JAMIA open, 2020 - academic.oup.com
Objectives Geriatric clinical care is a multidisciplinary assessment designed to evaluate
older patients'(age 65 years and above) functional ability, physical health, and cognitive well …
older patients'(age 65 years and above) functional ability, physical health, and cognitive well …
Risk management and patient safety in the artificial intelligence era: a systematic review
M Ferrara, G Bertozzi, N Di Fazio, I Aquila, A Di Fazio… - Healthcare, 2024 - mdpi.com
Background: Healthcare systems represent complex organizations within which multiple
factors (physical environment, human factor, technological devices, quality of care) …
factors (physical environment, human factor, technological devices, quality of care) …
Natural language processing and its implications for the future of medication safety: a narrative review of recent advances and challenges
A Wong, JM Plasek, SP Montecalvo… - … : The Journal of Human …, 2018 - Wiley Online Library
The safety of medication use has been a priority in the United States since the late 1930s.
Recently, it has gained prominence due to the increasing amount of data suggesting that a …
Recently, it has gained prominence due to the increasing amount of data suggesting that a …
Use of natural language processing algorithms to identify common data elements in operative notes for total hip arthroplasty
Background: Manual chart review is labor-intensive and requires specialized knowledge
possessed by highly trained medical professionals. Natural language processing (NLP) …
possessed by highly trained medical professionals. Natural language processing (NLP) …
Improving drug safety with adverse event detection using natural language processing
T Botsis, K Kreimeyer - Expert Opinion on Drug Safety, 2023 - Taylor & Francis
Introduction Pharmacovigilance (PV) involves monitoring and aggregating adverse event
information from a variety of data sources, including health records, biomedical literature …
information from a variety of data sources, including health records, biomedical literature …
Automated detection of off-label drug use
Off-label drug use, defined as use of a drug in a manner that deviates from its approved use
defined by the drug's FDA label, is problematic because such uses have not been evaluated …
defined by the drug's FDA label, is problematic because such uses have not been evaluated …
[HTML][HTML] Applying natural language processing to textual data from clinical data warehouses: Systematic review
Background In recent years, health data collected during the clinical care process have
been often repurposed for secondary use through clinical data warehouses (CDWs), which …
been often repurposed for secondary use through clinical data warehouses (CDWs), which …