AIMC Journal:
Journal of the American Medical Informatics Association : JAMIA
Showing 311 to 320 of 493 articles
Deep learning approaches for extracting adverse events and indications of dietary supplements from clinical text.
Journal of the American Medical Informatics Association : JAMIA
Mar 1, 2021
OBJECTIVE: We sought to demonstrate the feasibility of utilizing deep learning models to extract safety signals related to the use of dietary supplements (DSs) in clinical text.
FLANNEL (Focal Loss bAsed Neural Network EnsembLe) for COVID-19 detection.
Journal of the American Medical Informatics Association : JAMIA
Mar 1, 2021
OBJECTIVE: The study sought to test the possibility of differentiating chest x-ray images of coronavirus disease 2019 (COVID-19) against other pneumonia and healthy patients using deep neural networks.
Generative transfer learning for measuring plausibility of EHR diagnosis records.
Journal of the American Medical Informatics Association : JAMIA
Mar 1, 2021
OBJECTIVE: Due to a complex set of processes involved with the recording of health information in the Electronic Health Records (EHRs), the truthfulness of EHR diagnosis records is questionable. We present a computational approach to estimate the pro...
Potential limitations in COVID-19 machine learning due to data source variability: A case study in the nCov2019 dataset.
Journal of the American Medical Informatics Association : JAMIA
Feb 15, 2021
OBJECTIVE: The lack of representative coronavirus disease 2019 (COVID-19) data is a bottleneck for reliable and generalizable machine learning. Data sharing is insufficient without data quality, in which source variability plays an important role. We...
An evaluation of two commercial deep learning-based information retrieval systems for COVID-19 literature.
Journal of the American Medical Informatics Association : JAMIA
Jan 15, 2021
The COVID-19 pandemic has resulted in a tremendous need for access to the latest scientific information, leading to both corpora for COVID-19 literature and search engines to query such data. While most search engine research is performed in academia...
Clinical decision support system, using expert consensus-derived logic and natural language processing, decreased sedation-type order errors for patients undergoing endoscopy.
Journal of the American Medical Informatics Association : JAMIA
Jan 15, 2021
OBJECTIVE: Determination of appropriate endoscopy sedation strategy is an important preprocedural consideration. To address manual workflow gaps that lead to sedation-type order errors at our institution, we designed and implemented a clinical decisi...
Development of a predictive model for retention in HIV care using natural language processing of clinical notes.
Journal of the American Medical Informatics Association : JAMIA
Jan 15, 2021
OBJECTIVE: Adherence to a treatment plan from HIV-positive patients is necessary to decrease their mortality and improve their quality of life, however some patients display poor appointment adherence and become lost to follow-up (LTFU). We applied n...
Integrity of clinical information in radiology reports documenting pulmonary nodules.
Journal of the American Medical Informatics Association : JAMIA
Jan 15, 2021
OBJECTIVE: Quantify the integrity, measured as completeness and concordance with a thoracic radiologist, of documenting pulmonary nodule characteristics in CT reports and assess impact on making follow-up recommendations.
Anticancer drug synergy prediction in understudied tissues using transfer learning.
Journal of the American Medical Informatics Association : JAMIA
Jan 15, 2021
OBJECTIVE: Drug combination screening has advantages in identifying cancer treatment options with higher efficacy without degradation in terms of safety. A key challenge is that the accumulated number of observations in in-vitro drug responses varies...
Bias at warp speed: how AI may contribute to the disparities gap in the time of COVID-19.
Journal of the American Medical Informatics Association : JAMIA
Jan 15, 2021
The COVID-19 pandemic is presenting a disproportionate impact on minorities in terms of infection rate, hospitalizations, and mortality. Many believe artificial intelligence (AI) is a solution to guide clinical decision-making for this novel disease,...
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