AIMC Topic: Natural Language Processing

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NLP-driven integration of electrophysiology and traditional Chinese medicine for enhanced diagnostics and management of postpartum pain.

SLAS technology Mar 6, 2025
Postpartum pain encompasses a range of physical and emotional discomforts, often influenced by hormonal changes, physical recovery, and individual psychological states. The complex interactions between the variables can make it difficult for traditio...
Female Medicine, Chinese Traditional Natural Language Processing Humans Postpartum Period Pain Pain Management Electrophysiology
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Advanced NLP-driven predictive modeling for tailored treatment strategies in gastrointestinal cancer.

SLAS technology Mar 6, 2025
Gastrointestinal cancer represents a significant health burden, necessitating innovative approaches for personalized treatment. This study aims to develop an advanced natural language processing (NLP)-driven predictive modeling framework for tailored...
Precision Medicine Humans Electronic Health Records Algorithms Deep Learning Natural Language Processing Gastrointestinal Neoplasms
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Development of a natural language processing algorithm to extract social determinants of health from clinician notes.

American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons Mar 6, 2025
Disparities in access to the organ transplant waitlist are well-documented, but research into modifiable factors has been limited due to a lack of access to organized prewaitlisting data. This study aimed to develop a natural language processing (NLP...
Electronic Health Records Female Adult Algorithms Kidney Transplantation Prognosis Natural Language Processing Liver Transplantation Social Determinants of Health Male Humans Middle Aged Follow-Up Studies
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Contextual information contributes to biomedical named entity normalization.

Journal of biomedical informatics Mar 6, 2025
OBJECTIVE: As one of the most crucial upstream tasks in biomedical informatics, biomedical named entity normalization (BNEN) aims to map mentioned named entities to uniform standard identifiers or terms. Most existing methods only consider the simila...
Medical Informatics Semantics Databases, Factual Natural Language Processing Data Mining Humans Algorithms
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Using Natural Language Processing Methods to Build the Hypersexuality in Bipolar Reddit Corpus: Infodemiology Study of Reddit.

JMIR infodemiology Mar 6, 2025
BACKGROUND: Bipolar is a severe mental health condition affecting at least 2% of the global population, with clinical observations suggesting that individuals experiencing elevated mood states, such as mania or hypomania, may have an increased propen...
Natural Language Processing Sexual Dysfunctions, Psychological Male Humans Bipolar Disorder Female Social Media
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Perspectives on Using Artificial Intelligence to Derive Social Determinants of Health Data From Medical Records in Canada: Large Multijurisdictional Qualitative Study.

Journal of medical Internet research Mar 6, 2025
BACKGROUND: Data on the social determinants of health could be used to improve care, support quality improvement initiatives, and track progress toward health equity. However, this data collection is not widespread. Artificial intelligence (AI), spec...
Male Humans Middle Aged Qualitative Research Female Canada Artificial Intelligence Aged Electronic Health Records Natural Language Processing Adult Social Determinants of Health
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A Joint LLM-KG System for Disease Q&A.

IEEE journal of biomedical and health informatics Mar 6, 2025
Medical question answer (QA) assistants respond to lay users' health-related queries by synthesizing information from multiple sources using natural language processing and related techniques. They can serve as vital tools to alleviate issues of misi...
Humans Natural Language Processing Medical Informatics
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Preprocessing of natural language process variables using a data-driven method improves the association with suicide risk in a large veterans affairs population.

Computers in biology and medicine Mar 5, 2025
OBJECTIVE: Suicide risk assessment has historically relied heavily on clinical evaluations and patient self-reports. Natural language processing (NLP) of electronic health records (EHRs) provides an alternative approach for extracting risk predictors...
United States Department of Defense Suicide, Completed Predictive Learning Models Psychological Well-Being Natural Language Processing United States Department of Veterans Affairs Veterans Suicide Prevention United States Adult Male Middle Aged Risk Assessment Case-Control Studies Aged Adolescent Aged, 80 and over Humans Young Adult Electronic Health Records Female
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Natural Language Processing Technologies for Public Health in Africa: Scoping Review.

Journal of medical Internet research Mar 5, 2025
BACKGROUND: Natural language processing (NLP) has the potential to promote public health. However, applying these technologies in African health systems faces challenges, including limited digital and computational resources to support the continent'...
Humans Public Health Africa Natural Language Processing
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Characterizing Public Sentiments and Drug Interactions in the COVID-19 Pandemic Using Social Media: Natural Language Processing and Network Analysis.

Journal of medical Internet research Mar 5, 2025
BACKGROUND: While the COVID-19 pandemic has induced massive discussion of available medications on social media, traditional studies focused only on limited aspects, such as public opinions, and endured reporting biases, inefficiency, and long collec...
Alanine Humans SARS-CoV-2 Natural Language Processing Antiviral Agents Adenosine Monophosphate Pandemics Drug Interactions Social Media COVID-19 COVID-19 Drug Treatment
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