AIMC Topic: Natural Language Processing

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Exploring Transformer and Graph Convolutional Networks for Human Mobility Modeling.

Sensors (Basel, Switzerland) May 16, 2023
The estimation of human mobility patterns is essential for many components of developed societies, including the planning and management of urbanization, pollution, and disease spread. One important type of mobility estimator is the next-place predic...
Electric Power Supplies Artificial Intelligence Humans Image Processing, Computer-Assisted Natural Language Processing Environmental Pollution
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A deep learning approach for medication disposition and corresponding attributes extraction.

Journal of biomedical informatics May 15, 2023
OBJECTIVE: This article summarizes our approach to extracting medication and corresponding attributes from clinical notes, which is the focus of track 1 of the 2022 National Natural Language Processing (NLP) Clinical Challenges(n2c2) shared task.
Deep Learning Natural Language Processing Humans
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What do psychiatry researchers feel about ChatGPT? A study based on Natural Language Processing techniques.

Asian journal of psychiatry May 14, 2023
Humans Natural Language Processing Emotions
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The use of artificial intelligence for automating or semi-automating biomedical literature analyses: A scoping review.

Journal of biomedical informatics May 13, 2023
OBJECTIVE: Evidence-based medicine (EBM) is a decision-making process based on the conscious and judicious use of the best available scientific evidence. However, the exponential increase in the amount of information currently available likely exceed...
Natural Language Processing Automation Machine Learning Humans Artificial Intelligence
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Revenue and Cost Analysis of a System Utilizing Natural Language Processing and a Nurse Coordinator for Radiology Follow-up Recommendations.

Current problems in diagnostic radiology May 13, 2023
Radiology reports often contain recommendations for follow-up imaging, Provider adherence to these radiology recommendations can be incomplete, which may result in patient harm, lost revenue, or litigation. This study sought to perform a revenue asse...
Radiology Medicare Costs and Cost Analysis Follow-Up Studies Natural Language Processing Artificial Intelligence United States Aged Humans
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A survey of sum-product networks structural learning.

Neural networks : the official journal of the International Neural Network Society May 12, 2023
Sum-product networks (SPNs) in deep probabilistic models have made great progress in computer vision, robotics, neuro-symbolic artificial intelligence, natural language processing, probabilistic programming languages, and other fields. Compared with ...
Models, Statistical Artificial Intelligence Robotics Algorithms Natural Language Processing
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Long-term epilepsy outcome dynamics revealed by natural language processing of clinic notes.

Epilepsia May 10, 2023
OBJECTIVE: Electronic medical records allow for retrospective clinical research with large patient cohorts. However, epilepsy outcomes are often contained in free text notes that are difficult to mine. We recently developed and validated novel natura...
Humans Retrospective Studies Epilepsy Seizures Electronic Health Records Natural Language Processing
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Deep learning to refine the identification of high-quality clinical research articles from the biomedical literature: Performance evaluation.

Journal of biomedical informatics May 8, 2023
BACKGROUND: Identifying practice-ready evidence-based journal articles in medicine is a challenge due to the sheer volume of biomedical research publications. Newer approaches to support evidence discovery apply deep learning techniques to improve th...
PubMed Clinical Relevance Natural Language Processing Humans Language Biomedical Research Deep Learning
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Ontology-driven and weakly supervised rare disease identification from clinical notes.

BMC medical informatics and decision making May 5, 2023
BACKGROUND: Computational text phenotyping is the practice of identifying patients with certain disorders and traits from clinical notes. Rare diseases are challenging to be identified due to few cases available for machine learning and the need for ...
Natural Language Processing International Classification of Diseases Humans Machine Learning Rare Diseases Unified Medical Language System
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Heart disease risk factors detection from electronic health records using advanced NLP and deep learning techniques.

Scientific reports May 3, 2023
Heart disease remains the major cause of death, despite recent improvements in prediction and prevention. Risk factor identification is the main step in diagnosing and preventing heart disease. Automatically detecting risk factors for heart disease i...
Heart Disease Risk Factors Electronic Health Records Natural Language Processing Humans Deep Learning Heart Diseases
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