AIMC Topic: Natural Language Processing

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BactInt: A domain driven transfer learning approach for extracting inter-bacterial associations from biomedical text.

Computational biology and chemistry Jan 4, 2024
BACKGROUND: The healthy as well as dysbiotic state of an ecosystem like human body is known to be influenced not only by the presence of the bacterial groups in it, but also with respect to the associations within themselves. Evidence reported in bio...
Humans Computational Biology Natural Language Processing Medical Informatics Ecosystem Deep Learning
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DeBERTa-BiLSTM: A multi-label classification model of Arabic medical questions using pre-trained models and deep learning.

Computers in biology and medicine Jan 4, 2024
It is wise to investigate past and present epidemics in the hopes of profiting from them and being better prepared for future ones. COVID-19 is one of the most recent and well-known pandemics; its effects are still felt today. Most or nearly all gove...
Health Facilities Deep Learning Natural Language Processing Humans COVID-19 Language
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Retrieval augmentation of large language models for lay language generation.

Journal of biomedical informatics Dec 30, 2023
The complex linguistic structures and specialized terminology of expert-authored content limit the accessibility of biomedical literature to the general public. Automated methods have the potential to render this literature more interpretable to read...
Unified Medical Language System Linguistics Natural Language Processing Information Storage and Retrieval Language
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Sharing Patient Praises With Radiology Staff: Workflow Automation and Impact on Staff.

Journal of the American College of Radiology : JACR Dec 28, 2023
OBJECTIVE: This study aims to develop and evaluate a semi-automated workflow using natural language processing (NLP) for sharing positive patient feedback with radiology staff, assessing its efficiency and impact on radiology staff morale.
Humans Surveys and Questionnaires Patient Satisfaction Automation Workflow Radiology Department, Hospital Attitude of Health Personnel Efficiency, Organizational Morale Natural Language Processing
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Using Natural Language Processing to Identify Stigmatizing Language in Labor and Birth Clinical Notes.

Maternal and child health journal Dec 26, 2023
INTRODUCTION: Stigma and bias related to race and other minoritized statuses may underlie disparities in pregnancy and birth outcomes. One emerging method to identify bias is the study of stigmatizing language in the electronic health record. The obj...
Language Female Natural Language Processing Algorithms Electronic Health Records Humans Machine Learning
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Enhancing Pressure Injury Surveillance Using Natural Language Processing.

Journal of patient safety Dec 26, 2023
OBJECTIVE: This study assessed the feasibility of nursing handoff notes to identify underreported hospital-acquired pressure injury (HAPI) events.
Child Inpatients Intensive Care Units Hospitalization Natural Language Processing Pressure Ulcer Humans
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Year 2022 in Medical Natural Language Processing: Availability of Language Models as a Step in the Democratization of NLP in the Biomedical Area.

Yearbook of medical informatics Dec 26, 2023
OBJECTIVES: To analyse the content of publications within the medical Natural Language Processing (NLP) domain in 2022.
Humans Information Storage and Retrieval Natural Language Processing
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Exploring the Latest Highlights in Medical Natural Language Processing across Multiple Languages: A Survey.

Yearbook of medical informatics Dec 26, 2023
OBJECTIVES: This survey aims to provide an overview of the current state of biomedical and clinical Natural Language Processing (NLP) research and practice in Languages other than English (LoE). We pay special attention to data resources, language mo...
Language Natural Language Processing Biomedical Research Databases, Factual Information Storage and Retrieval
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Resisting the (re-)medicalisation of dying and grief in the post-digital age: Natural language processing and qualitative analysis of data from internet support forums.

Social science & medicine (1982) Dec 24, 2023
In the mid-twentieth century, the social movement of death revivalism sought to resist the medicalisation of dying and grief through promotion of the dying person retaining autonomy, and societal openness toward death and bereavement. Despite this ad...
Medicalization Social Support Qualitative Research Humans COVID-19 Grief Natural Language Processing Attitude to Death Internet
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Development of fecal microbial diagnostic marker sets of colorectal cancer using natural language processing method.

The International journal of biological markers Dec 21, 2023
BACKGROUND: Cancer screening and early detection greatly increase the chances of successful treatment. However, most cancer types lack effective early screening biomarkers. In recent years, natural language processing (NLP)-based text-mining methods ...
Humans Colorectal Neoplasms Polymerase Chain Reaction Biomarkers, Tumor Early Detection of Cancer Feces Natural Language Processing
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