AIMC Topic: Natural Language Processing

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Protocol for Designing a Model to Predict the Likelihood of Psychosis From Electronic Health Records Using Natural Language Processing and Machine Learning.

The Permanente journal Sep 2, 2024
INTRODUCTION: Rapid identification of individuals developing a psychotic spectrum disorder (PSD) is crucial because untreated psychosis is associated with poor outcomes and decreased treatment response. Lack of recognition of early psychotic symptoms...
Adult Cross-Sectional Studies Female Young Adult Primary Health Care Humans Natural Language Processing Male Psychotic Disorders Retrospective Studies Adolescent Electronic Health Records Machine Learning
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Extracting lung cancer staging descriptors from pathology reports: A generative language model approach.

Journal of biomedical informatics Sep 2, 2024
BACKGROUND: In oncology, electronic health records contain textual key information for the diagnosis, staging, and treatment planning of patients with cancer. However, text data processing requires a lot of time and effort, which limits the utilizati...
Deep Learning Data Mining Neoplasm Staging Feasibility Studies Lung Neoplasms Natural Language Processing
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DualAttlog: Context aware dual attention networks for log-based anomaly detection.

Neural networks : the official journal of the International Neural Network Society Aug 31, 2024
Most existing log-driven anomaly detection methods assume that logs are static and unchanged, which is often impractical. To address this, we propose a log anomaly detection model called DualAttlog. This model includes word-level and sequence-level s...
Humans Neural Networks, Computer Attention Semantics Algorithms Natural Language Processing
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Can large language models be new supportive tools in coronary computed tomography angiography reporting?

Clinical imaging Aug 31, 2024
The advent of large language models (LLMs) marks a transformative leap in natural language processing, offering unprecedented potential in radiology, particularly in enhancing the accuracy and efficiency of coronary artery disease (CAD) diagnosis. Wh...
Computed Tomography Angiography Humans Reproducibility of Results Coronary Angiography Natural Language Processing Coronary Artery Disease
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Text summarization for pharmaceutical sciences using hierarchical clustering with a weighted evaluation methodology.

Scientific reports Aug 30, 2024
In the pharmaceutical industry, there is an abundance of regulatory documents used to understand the current regulatory landscape and proactively make project decisions. Due to the size of these documents, it is helpful for project teams to have info...
Drug Industry Cluster Analysis Natural Language Processing Humans Machine Learning
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Identifying Elective Induction of Labor among a Diverse Pregnant Population from Electronic Health Records within a Large Integrated Health Care System.

American journal of perinatology Aug 29, 2024
OBJECTIVE:  Distinguishing between medically indicated induction of labor (iIOL) and elective induction of labor (eIOL) is a daunting process for researchers. We aimed to develop a Natural Language Processing (NLP) algorithm to identify eIOLs from el...
Adult Natural Language Processing Female Young Adult California Delivery of Health Care, Integrated Elective Surgical Procedures Labor, Induced Algorithms Retrospective Studies Electronic Health Records Pregnancy Humans
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SSGU-CD: A combined semantic and structural information graph U-shaped network for document-level Chemical-Disease interaction extraction.

Journal of biomedical informatics Aug 29, 2024
Document-level interaction extraction for Chemical-Disease is aimed at inferring the interaction relations between chemical entities and disease entities across multiple sentences. Compared with sentence-level relation extraction, document-level rela...
Humans Natural Language Processing Data Mining Semantics Algorithms Disease
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From admission to discharge: a systematic review of clinical natural language processing along the patient journey.

BMC medical informatics and decision making Aug 29, 2024
BACKGROUND: Medical text, as part of an electronic health record, is an essential information source in healthcare. Although natural language processing (NLP) techniques for medical text are developing fast, successful transfer into clinical practice...
Natural Language Processing Patient Discharge Patient Admission Humans Electronic Health Records
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AI-assisted assessment and treatment of aphasia: a review.

Frontiers in public health Aug 29, 2024
Aphasia is a language disorder caused by brain injury that often results in difficulties with speech production and comprehension, significantly impacting the affected individuals' lives. Recently, artificial intelligence (AI) has been advancing in m...
Aphasia Machine Learning Humans Natural Language Processing Artificial Intelligence
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Integration of multi-level semantics in PTMs with an attention model for question matching.

PloS one Aug 29, 2024
The task of question matching/retrieval focuses on determining whether two questions are semantically equivalent. It has garnered significant attention in the field of natural language processing (NLP) due to its commercial value. While neural networ...
Attention Semantics Humans Neural Networks, Computer Natural Language Processing
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