AIMC Topic: Electronic Health Records

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Defining the distance between diseases using SNOMED CT embeddings.

Journal of biomedical informatics Feb 3, 2023
Characterizing disease relationships is essential to biomedical research to understand disease etiology and improve clinical decision-making. Measurements of distance between disease pairs enable valuable research tasks, such as subgrouping patients ...
International Classification of Diseases Humans Systematized Nomenclature of Medicine Biological Ontologies Delivery of Health Care Electronic Health Records
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Evaluation of the portability of computable phenotypes with natural language processing in the eMERGE network.

Scientific reports Feb 3, 2023
The electronic Medical Records and Genomics (eMERGE) Network assessed the feasibility of deploying portable phenotype rule-based algorithms with natural language processing (NLP) components added to improve performance of existing algorithms using el...
Algorithms Genomics Natural Language Processing Phenotype Electronic Health Records
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FedSepsis: A Federated Multi-Modal Deep Learning-Based Internet of Medical Things Application for Early Detection of Sepsis from Electronic Health Records Using Raspberry Pi and Jetson Nano Devices.

Sensors (Basel, Switzerland) Jan 14, 2023
The concept of the Internet of Medical Things brings a promising option to utilize various electronic health records stored in different medical devices and servers to create practical but secure clinical decision support systems. To achieve such a s...
Deep Learning Machine Learning Sepsis Humans Electronic Health Records Internet
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Machine learning enabled subgroup analysis with real-world data to inform clinical trial eligibility criteria design.

Scientific reports Jan 12, 2023
Overly restrictive eligibility criteria for clinical trials may limit the generalizability of the trial results to their target real-world patient populations. We developed a novel machine learning approach using large collections of real-world data ...
Clinical Trials as Topic Humans Machine Learning Algorithms Eligibility Determination Electronic Health Records Models, Statistical
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Negation detection in Dutch clinical texts: an evaluation of rule-based and machine learning methods.

BMC bioinformatics Jan 9, 2023
When developing models for clinical information retrieval and decision support systems, the discrete outcomes required for training are often missing. These labels need to be extracted from free text in electronic health records. For this extraction ...
Natural Language Processing Machine Learning Information Storage and Retrieval Electronic Health Records
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Natural language processing for clinical notes in dentistry: A systematic review.

Journal of biomedical informatics Jan 7, 2023
OBJECTIVE: To identify and synthesise research on applications of natural language processing (NLP) for information extraction and retrieval from clinical notes in dentistry.
Natural Language Processing Dentistry Reproducibility of Results Humans Electronic Health Records
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Clinical research staff perceptions on a natural language processing-driven tool for eligibility prescreening: An iterative usability assessment.

International journal of medical informatics Jan 6, 2023
BACKGROUND: Participant recruitment is a barrier to successful clinical research. One strategy to improve recruitment is to conduct eligibility prescreening, a resource-intensive process where clinical research staff manually reviews electronic healt...
Records Natural Language Processing Electronic Health Records Female Humans Computers Young Adult Middle Aged Adult User-Computer Interface
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Multimodal Data Matters: Language Model Pre-Training Over Structured and Unstructured Electronic Health Records.

IEEE journal of biomedical and health informatics Jan 4, 2023
As two important textual modalities in electronic health records (EHR), both structured data (clinical codes) and unstructured data (clinical narratives) have recently been increasingly applied to the healthcare domain. Most existing EHR-oriented stu...
Language Humans Neural Networks, Computer Electronic Health Records
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Exploratory pharmacovigilance with machine learning in big patient data: A focused scoping review.

Basic & clinical pharmacology & toxicology Jan 3, 2023
BACKGROUND: Machine learning can operationalize the rich and complex data in electronic patient records for exploratory pharmacovigilance endeavours.
Humans Machine Learning Bayes Theorem Pharmacovigilance Electronic Health Records Big Data
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Adverse drug event detection using natural language processing: A scoping review of supervised learning methods.

PloS one Jan 3, 2023
To reduce adverse drug events (ADEs), hospitals need a system to support them in monitoring ADE occurrence routinely, rapidly, and at scale. Natural language processing (NLP), a computerized approach to analyze text data, has shown promising results ...
Drug-Related Side Effects and Adverse Reactions Pharmacovigilance Humans Electronic Health Records Natural Language Processing Supervised Machine Learning
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