AIMC Journal:
Journal of biomedical informatics

Showing 191 to 200 of 650 articles

PK-RNN-V E: A deep learning model approach to vancomycin therapeutic drug monitoring using electronic health record data.

Journal of biomedical informatics Aug 17, 2022
Vancomycin is a commonly used antimicrobial in hospitals, and therapeutic drug monitoring (TDM) is required to optimize its efficacy and avoid toxicities. Bayesian models are currently recommended to predict the antibiotic levels. These models, howev...
Humans Electronic Health Records Drug Monitoring Vancomycin Deep Learning Bayes Theorem
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Language-agnostic deep learning framework for automatic monitoring of population-level mental health from social networks.

Journal of biomedical informatics Jul 28, 2022
In many countries, mental health issues are among the most serious public health concerns. National mental health statistics are frequently collected from reported patient cases or government-sponsored surveys, which have restricted coverage, frequen...
Social Media Natural Language Processing Humans Deep Learning Social Networking Mental Health
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Confederated learning in healthcare: Training machine learning models using disconnected data separated by individual, data type and identity for Large-Scale health system Intelligence.

Journal of biomedical informatics Jul 22, 2022
BACKGROUND: A patient's health information is generally fragmented across silos because it follows how care is delivered: multiple providers in multiple settings. Though it is technically feasible to reunite data for analysis in a manner that underpi...
Delivery of Health Care Humans Intelligence ROC Curve Machine Learning Privacy
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Patient safety classifications, taxonomies and ontologies: A systematic review on development and evaluation methodologies.

Journal of biomedical informatics Jul 22, 2022
INTRODUCTION: Patient safety classifications/ontologies enable patient safety information systems to receive and analyze patient safety data to improve patient safety. Patient safety classifications/ontologies have been developed and evaluated using ...
Biological Ontologies Patient Safety Natural Language Processing Logic Reproducibility of Results Humans
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"Note Bloat" impacts deep learning-based NLP models for clinical prediction tasks.

Journal of biomedical informatics Jul 22, 2022
One unintended consequence of the Electronic Health Records (EHR) implementation is the overuse of content-importing technology, such as copy-and-paste, that creates "bloated" notes containing large amounts of textual redundancy. Despite the rising i...
Humans Machine Learning Electronic Health Records Deep Learning Natural Language Processing
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A novel machine learning model based on sparse structure learning with adaptive graph regularization for predicting drug side effects.

Journal of biomedical informatics Jul 14, 2022
Drug side effects are closely related to the success and failure of drug development. Here we present a novel machine learning method for side effect prediction. The proposed method treats side effect prediction as a multi-label learning problem and ...
Research Design Drug Development Drug-Related Side Effects and Adverse Reactions Machine Learning Algorithms Humans
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A deep learning approach for Spatio-Temporal forecasting of new cases and new hospital admissions of COVID-19 spread in Reggio Emilia, Northern Italy.

Journal of biomedical informatics Jul 11, 2022
BACKGROUND: Since February 2020, the COVID-19 epidemic has rapidly spread throughout Italy. Some studies showed an association of environmental factors, such as PM, PM NO, temperature, relative humidity, wind speed, solar radiation and mobility with ...
SARS-CoV-2 Hospitals COVID-19 Deep Learning Italy Humans
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Trustworthy assertion classification through prompting.

Journal of biomedical informatics Jul 8, 2022
Accurate identification of the presence, absence or possibility of relevant entities in clinical notes is important for healthcare professionals to quickly understand crucial clinical information. This introduces the task of assertion classification ...
Humans Machine Learning Natural Language Processing Electronic Health Records Linguistics
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NILINKER: Attention-based approach to NIL Entity Linking.

Journal of biomedical informatics Jul 8, 2022
The existence of unlinkable (NIL) entities is a major hurdle affecting the performance of Named Entity Linking approaches, and, consequently, the performance of downstream models that depend on them. Existing approaches to deal with NIL entities focu...
Gene Ontology Neural Networks, Computer Knowledge Bases Cluster Analysis Data Mining
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Realistic 3D infant head surfaces augmentation to improve AI-based diagnosis of cranial deformities.

Journal of biomedical informatics Jun 22, 2022
Evaluation of the head shape of newborns is needed to detect cranial deformities, disturbances in head growth, and consequently, to predict short- and long-term neurodevelopment. Currently, there is a lack of automatic tools to provide a detailed eva...
Infant Humans Artificial Intelligence Models, Statistical Infant, Newborn
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