AIMC Journal:
Studies in health technology and informatics

Showing 381 to 390 of 1224 articles

Using Natural Language Processing to Extract and Classify Symptoms Among Patients with Thyroid Dysfunction.

Studies in health technology and informatics Jan 25, 2024
In the United States, more than 12% of the population will experience thyroid dysfunction. Patient symptoms often reported with thyroid dysfunction include fatigue and weight change. However, little is understood about the relationship between these ...
Humans Thyroid Gland Natural Language Processing Outpatients Fatigue Electric Power Supplies
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Advanced Care Planning Content Encoding with Natural Language Processing.

Studies in health technology and informatics Jan 25, 2024
While advanced care planning (ACP) is an essential practice for ensuring patient-centered care, its adoption remains poor and the completeness of its documentation variable. Natural language processing (NLP) approaches hold promise for supporting ACP...
Humans Natural Language Processing Patient-Centered Care Advance Care Planning Documentation Palliative Care
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Automating the Identification of Safety Events Involving Machine Learning-Enabled Medical Devices.

Studies in health technology and informatics Jan 25, 2024
With growing use of machine learning (ML)-enabled medical devices by clinicians and consumers safety events involving these systems are emerging. Current analysis of safety events heavily relies on retrospective review by experts, which is time consu...
Machine Learning Drugs, Generic
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Rule-Based Natural Language Processing Pipeline to Detect Medication-Related Named Entities: Insights for Transfer Learning.

Studies in health technology and informatics Jan 25, 2024
We document the procedure and performance of a rule-based NLP system that, using transfer learning, automatically extracts essential named entities related to drug errors from Japanese free-text incident reports. Subsequently, we used the rule-based ...
Humans Machine Learning Learning Natural Language Processing Medication Errors Recognition, Psychology
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Using Natural Language Processing to Predict Risk in Electronic Health Records.

Studies in health technology and informatics Jan 25, 2024
Clinical narratives recording behaviours and emotions of patients are available from EHRs in a forensic psychiatric centre located in Tasmania. This rich data has not been used in risk prediction. Prior work demonstrates natural language processing c...
Humans Electronic Health Records Language Emotions Natural Language Processing Health Facilities
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Classification of Diagnostic Certainty in Radiology Reports with Deep Learning.

Studies in health technology and informatics Jan 25, 2024
A radiology report is prepared for communicating clinical information about observed abnormal structures and clinically important findings with referring clinicians. However, such observations and findings are often accompanied by ambiguous expressio...
Tomography, X-Ray Computed Deep Learning Radiography Radiology
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Making Digital Health Equitable.

Studies in health technology and informatics Jan 25, 2024
Most agree that the current healthcare system is broken. Fortunately, technology is increasing at an exponential rate and provides a solution for the future. Digital Health is an integrator concept that has the potential to take advantage of technolo...
Humans Artificial Intelligence Digital Health Health Facilities Common Data Elements Computers, Handheld
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Real-World Effectiveness of Lung Cancer Screening Using Deep Learning-Based Counterfactual Prediction.

Studies in health technology and informatics Jan 25, 2024
The benefits and harms of lung cancer screening (LCS) for patients in the real-world clinical setting have been argued. Recently, discriminative prediction modeling of lung cancer with stratified risk factors has been developed to investigate the rea...
Humans Risk Factors Deep Learning Lung Neoplasms Early Detection of Cancer
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Using Clinical Simulation to Evaluate AI-Enabled Decision Support.

Studies in health technology and informatics Jan 25, 2024
Clinical simulation is a useful method for evaluating AI-enabled clinical decision support (CDS). Simulation studies permit patient- and risk-free evaluation and far greater experimental control than is possible with clinical studies. The effect of C...
Humans Artificial Intelligence Computer Simulation
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How Well Do AI-Enabled Decision Support Systems Perform in Clinical Settings?

Studies in health technology and informatics Jan 25, 2024
Real-world performance of machine learning (ML) models is crucial for safely and effectively embedding them into clinical decision support (CDS) systems. We examined evidence about the performance of contemporary ML-based CDS in clinical settings. A ...
Neural Networks, Computer Machine Learning Decision Support Systems, Clinical Databases, Bibliographic
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