AIMC Topic: Electronic Health Records

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Natural language processing with machine learning methods to analyze unstructured patient-reported outcomes derived from electronic health records: A systematic review.

Artificial intelligence in medicine Nov 1, 2023
OBJECTIVE: Natural language processing (NLP) combined with machine learning (ML) techniques are increasingly used to process unstructured/free-text patient-reported outcome (PRO) data available in electronic health records (EHRs). This systematic rev...
Patient Outcome Assessment PubMed Machine Learning Natural Language Processing Electronic Health Records Humans
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An unsupervised learning approach to identify immunoglobulin utilization patterns using electronic health records.

Transfusion Oct 20, 2023
BACKGROUND: Managing Canada's immunoglobulin (Ig) product resource allocation is challenging due to increasing demand, high expenditure, and global shortages. Detection of groups with high utilization rates can help with resource planning for Ig prod...
Inpatients Unsupervised Machine Learning Child, Preschool Immunoglobulins Humans Adult Electronic Health Records
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Redefining biomaterial biocompatibility: challenges for artificial intelligence and text mining.

Trends in biotechnology Oct 17, 2023
The surge in 'Big data' has significantly influenced biomaterials research and development, with vast data volumes emerging from clinical trials, scientific literature, electronic health records, and other sources. Biocompatibility is essential in de...
Artificial Intelligence Data Mining Biocompatible Materials Electronic Health Records
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Natural language processing for identification of refractory status epilepticus in children.

Epilepsia Oct 16, 2023
OBJECTIVE: Pediatric status epilepticus is one of the most frequent pediatric emergencies, with high mortality and morbidity. Utilizing electronic health records (EHRs) permits analysis of care approaches and disease outcomes at a lower cost than pro...
Algorithms Natural Language Processing Child Humans Prospective Studies Electronic Health Records Status Epilepticus
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[Clinical application of large language models : Does ChatGPT replace medical report formulation? An experience report].

Innere Medizin (Heidelberg, Germany) Oct 16, 2023
Artificial intelligence (AI)-based language models, such as ChatGPT offer an enormous potential for research and medical care but also for clinical workflow optimization by making medical documentation easier and more efficient in taking over standar...
Language Choline O-Acetyltransferase Ambulatory Care Artificial Intelligence Humans Electronic Health Records
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Negation recognition in clinical natural language processing using a combination of the NegEx algorithm and a convolutional neural network.

BMC medical informatics and decision making Oct 13, 2023
BACKGROUND: Important clinical information of patients is present in unstructured free-text fields of Electronic Health Records (EHRs). While this information can be extracted using clinical Natural Language Processing (cNLP), the recognition of nega...
Natural Language Processing Electronic Health Records Language Algorithms Humans Neural Networks, Computer
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Negation and speculation processing: A study on cue-scope labelling and assertion classification in Spanish clinical text.

Artificial intelligence in medicine Oct 10, 2023
Natural Language Processing (NLP) based on new deep learning technology is contributing to the emergence of powerful solutions that help healthcare providers and researchers discover valuable patterns within insurmountable volumes of health records a...
Natural Language Processing Electronic Health Records Cues
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HealthNet: A Health Progression Network via Heterogeneous Medical Information Fusion.

IEEE transactions on neural networks and learning systems Oct 5, 2023
Numerous electronic health records (EHRs) offer valuable opportunities for understanding patients' health status at different stages, namely health progression. Extracting the health progression patterns allows researchers to perform accurate predict...
Electronic Health Records Neural Networks, Computer Humans
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Chart Review Is Dead; Long Live Chart Review: How Artificial Intelligence Will Make Human Review of Medical Records Obsolete, One Day.

Population health management Oct 4, 2023
Artificial Intelligence Electronic Health Records Humans
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Leveraging machine learning to create user-friendly models to mitigate appointment failure at dental school clinics.

Journal of dental education Oct 2, 2023
PURPOSE/OBJECTIVES: This study had a twofold outcome. The first aim was to develop an efficient, machine learning (ML) model using data from a dental school clinic (DSC) electronic health record (EHR). This model identified patients with a high likel...
Schools Electronic Health Records Schools, Dental Humans Machine Learning
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