Information retrieval and text mining technologies for chemistry

M Krallinger, O Rabal, A Lourenco, J Oyarzabal… - Chemical …, 2017 - ACS Publications
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 …

[Retracted] Integration of Artificial Intelligence and Blockchain Technology in Healthcare and Agriculture

S Vyas, M Shabaz, P Pandit, LR Parvathy… - Journal of Food …, 2022 - Wiley Online Library
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 …

Off-label indications for antidepressants in primary care: descriptive study of prescriptions from an indication based electronic prescribing system

J Wong, A Motulsky, M Abrahamowicz, T Eguale… - Bmj, 2017 - bmj.com
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 …

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 …

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) …

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 …

Use of natural language processing algorithms to identify common data elements in operative notes for total hip arthroplasty

CC Wyles, ME Tibbo, S Fu, Y Wang, S Sohn… - JBJS, 2019 - journals.lww.com
Background: Manual chart review is labor-intensive and requires specialized knowledge
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 …

Automated detection of off-label drug use

K Jung, P LePendu, WS Chen, SV Iyer, B Readhead… - PloS one, 2014 - journals.plos.org
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 …

[HTML][HTML] Applying natural language processing to textual data from clinical data warehouses: Systematic review

A Bazoge, E Morin, B Daille… - JMIR medical …, 2023 - medinform.jmir.org
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 …