[HTML][HTML] Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review

Y Si, J Du, Z Li, X Jiang, T Miller, F Wang… - Journal of biomedical …, 2021 - Elsevier
learn distinct clinical events from EHR data that included temporal relationships among the
events… As for publication characteristics, we limit our search to English-language research …

Frequency and types of patient-reported errors in electronic health record ambulatory care notes

SK Bell, T Delbanco, JG Elmore… - JAMA network …, 2020 - jamanetwork.com
… ) or a language other than English or Spanish as their primary … allergic reactions. Some
patients detected discrepancies in … only for EHR accuracy but also for organizational learning. …

Use of natural language processing to extract clinical cancer phenotypes from electronic medical records

GK Savova, I Danciu, F Alamudun, T Miller, C Lin… - Cancer research, 2019 - AACR
English and use English EMR text; (iv) sourced from MEDLINE and major computational
linguistics and machine learning … , monitoring, and understanding adverse drug events (ADE) as …

[HTML][HTML] Role of artificial intelligence in patient safety outcomes: systematic literature review

A Choudhury, O Asan - JMIR medical informatics, 2020 - medinform.jmir.org
… to retrieve research articles published in English between January … AI has also been embedded
in electronic health record (EHR) … all other methods in predicting adverse drug reactions. …

Natural language processing of symptoms documented in free-text narratives of electronic health records: a systematic review

TA Koleck, C Dreisbach, PE Bourne… - … the American Medical …, 2019 - academic.oup.com
… published in English or those … adverse drug events Notes from EHR, inpatient encounter
notes, discharge summaries, ED 1 168 397 2475 adverse drug reaction-related drug-reaction

[HTML][HTML] Clinical text data in machine learning: systematic review

I Spasic, G Nenadic - JMIR medical informatics, 2020 - medinform.jmir.org
learning was successfully used where clinical codes integrated with free-text notes into
electronic health records … 9.5 million clinical notes were annotated with adverse drug events [99]. …

Challenges and opportunities beyond structured data in analysis of electronic health records

…, T Chomutare, H Dalianis, E Salvi… - Wiley …, 2021 - Wiley Online Library
… Other adverse effects are adverse drug events (ADEs). In the article by Karimi et al. (2015), …
Similar performance was demonstrated using deep learning methods and English word …

UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER

S Denaxas, A Gonzalez-Izquierdo… - … American Medical …, 2019 - academic.oup.com
Electronic health records (EHRs) are a rich source of information on human diseases, but the
… phenotype were indeed bleeding events according to the independent review of the entire …

Use of electronic medical records in development and validation of risk prediction models of hospital readmission: systematic review

E Mahmoudi, N Kamdar, N Kim, G Gonzales, K Singh… - bmj, 2020 - bmj.com
… and treatment during admission (allergic reactions, history of … adverse health events,52
53 health systems are still not … Deep learning from electronic medical records using attention-…

Artificial intelligence approaches using natural language processing to advance EHR-based clinical research

Y Juhn, H Liu - Journal of Allergy and Clinical Immunology, 2020 - Elsevier
… use of electronic health record data for clinical research … , to August 13, 2019, English language,
was conducted (see Table … ) or NLP machine learning (ML) (computer learns latent rules …