Natural language processing algorithms for map** clinical text fragments onto ontology concepts: a systematic review and recommendations for future studies

MG Kersloot, FJP van Putten, A Abu-Hanna… - Journal of biomedical …, 2020 - Springer
Background Free-text descriptions in electronic health records (EHRs) can be of interest for
clinical research and care optimization. However, free text cannot be readily interpreted by a …

BioConceptVec: Creating and evaluating literature-based biomedical concept embeddings on a large scale

Q Chen, K Lee, S Yan, S Kim, CH Wei… - PLoS computational …, 2020 - journals.plos.org
A massive number of biological entities, such as genes and mutations, are mentioned in the
biomedical literature. The capturing of the semantic relatedness of biological entities is vital …

[HTML][HTML] Matching patients to clinical trials using semantically enriched document representation

H Hassanzadeh, S Karimi, A Nguyen - Journal of biomedical informatics, 2020 - Elsevier
Recruiting eligible patients for clinical trials is crucial for reliably answering specific
questions about medical interventions and evaluation. However, clinical trial recruitment is a …

[HTML][HTML] Quantifying semantic similarity of clinical evidence in the biomedical literature to facilitate related evidence synthesis

H Hassanzadeh, A Nguyen, K Verspoor - Journal of Biomedical Informatics, 2019 - Elsevier
Objective Published clinical trials and high quality peer reviewed medical publications are
considered as the main sources of evidence used for synthesizing systematic reviews or …

Combining lstm and densenet for automatic annotation and classification of chest x-ray images

F Yan, X Huang, Y Yao, M Lu, M Li - IEEE Access, 2019 - ieeexplore.ieee.org
The chest X-ray is a simple and economical medical aid for auxiliary diagnosis and therefore
has become a routine item for residents' physical examinations. Based on 40167 images of …

Using annotation for computerized support for fast skimming of cardiology electronic health record notes

MKH Dehkordi, S Zhou, Y Perl, J Geller… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
Under the circumstances prevalent in current healthcare, medical professionals such as
physicians and nurses need to read large numbers of Electronic Health Record (EHR) …

Clinical concept recognition: Evaluation of existing systems on EHRs

JA Lossio-Ventura, R Sun, S Boussard… - Frontiers in Artificial …, 2023 - frontiersin.org
Objective The adoption of electronic health records (EHRs) has produced enormous
amounts of data, creating research opportunities in clinical data sciences. Several concept …

[HTML][HTML] FHIRCap: Transforming REDCap forms into FHIR resources

A Metke-Jimenez, D Hansen - AMIA Summits on Translational …, 2019 - ncbi.nlm.nih.gov
Clinical trials and studies are increasingly using systems, such as REDCap, to capture data
in electronic form. However these tools are not designed to mimic the capture of clinical …

Detecting low back pain from clinical narratives using machine learning approaches

M Judd, F Zulkernine, B Wolfrom, D Barber… - Database and Expert …, 2018 - Springer
Free-text clinical notes recorded during the patients' visits in the Electronic Medical Record
(EMR) system narrates clinical encounters, often using 'SOAP'notes (an acronym for subject …

[HTML][HTML] Multidisciplinary smartphone-based interventions to empower patients with acute coronary syndromes: Qualitative study on health care providers' …

N Bashi, H Hassanzadeh, M Varnfield, Y Wee… - JMIR cardio, 2018 - cardio.jmir.org
Background: Postdischarge interventions are limited in patients with acute coronary
syndrome (ACS) due to few scheduled visits to outpatient clinics and travel from remote …