AIMC Topic: Natural Language Processing

Clear Filters Showing 941 to 950 of 3886 articles

Leveraging automated approaches to categorize birth defects from abstracted birth hospitalization data.

Birth defects research Nov 6, 2023
BACKGROUND: The Surveillance for Emerging Threats to Pregnant People and Infants Network (SET-NET) collects data abstracted from medical records and birth defects registries on pregnant people and their infants to understand outcomes associated with ...
Infant Natural Language Processing Registries Medical Records Female Hospitalization Machine Learning Pregnancy Humans
View on PubMed DOI

Extracting laboratory test information from paper-based reports.

BMC medical informatics and decision making Nov 6, 2023
BACKGROUND: In the healthcare domain today, despite the substantial adoption of electronic health information systems, a significant proportion of medical reports still exist in paper-based formats. As a result, there is a significant demand for the ...
Electronic Health Records Natural Language Processing Humans Algorithms Hospitals, University Information Storage and Retrieval
View on PubMed DOI

Deep-learning-based natural-language-processing models to identify cardiovascular disease hospitalisations of patients with diabetes from routine visits' text.

Scientific reports Nov 5, 2023
Writing notes is the most widespread method to report clinical events. Therefore, most of the information about the disease history of a patient remains locked behind free-form text. Natural language processing (NLP) provides a solution to automatica...
Humans Retrospective Studies Deep Learning Diabetes Mellitus Electronic Health Records Natural Language Processing Cardiovascular Diseases
View on PubMed DOI

Natural language processing diagnosed behavioural disturbance phenotypes in the intensive care unit: characteristics, prevalence, trajectory, treatment, and outcomes.

Critical care (London, England) Nov 4, 2023
BACKGROUND: Natural language processing (NLP) may help evaluate the characteristics, prevalence, trajectory, treatment, and outcomes of behavioural disturbance phenotypes in critically ill patients.
Natural Language Processing Respiration, Artificial Prevalence Humans Phenotype Intensive Care Units
View on PubMed DOI

Identifying self-disclosed anxiety on Twitter: A natural language processing approach.

Psychiatry research Nov 3, 2023
BACKGROUND: Text analyses of social media posts are a promising source of mental health information. This study used natural language processing to explore distinct language patterns on Twitter related to self-reported anxiety diagnosis.
Social Media Natural Language Processing Bayes Theorem Anxiety Humans Anxiety Disorders
View on PubMed DOI

Natural language processing with machine learning methods to analyze unstructured patient-reported outcomes derived from electronic health records: A systematic review.

Artificial intelligence in medicine Nov 1, 2023
OBJECTIVE: Natural language processing (NLP) combined with machine learning (ML) techniques are increasingly used to process unstructured/free-text patient-reported outcome (PRO) data available in electronic health records (EHRs). This systematic rev...
Machine Learning Electronic Health Records Natural Language Processing PubMed Humans Patient Outcome Assessment
View on PubMed DOI

Deep learning-enabled natural language processing to identify directional pharmacokinetic drug-drug interactions.

BMC bioinformatics Nov 1, 2023
BACKGROUND: During drug development, it is essential to gather information about the change of clinical exposure of a drug (object) due to the pharmacokinetic (PK) drug-drug interactions (DDIs) with another drug (precipitant). While many natural lang...
Language Drug Interactions Data Mining Deep Learning Natural Language Processing
View on PubMed DOI

Word differences in news media of lower and higher peace countries revealed by natural language processing and machine learning.

PloS one Nov 1, 2023
Language is both a cause and a consequence of the social processes that lead to conflict or peace. "Hate speech" can mobilize violence and destruction. What are the characteristics of "peace speech" that reflect and support the social processes that ...
Machine Learning Linguistics Language Social Conditions Natural Language Processing
View on PubMed DOI

Current Strengths and Weaknesses of ChatGPT as a Resource for Radiation Oncology Patients and Providers.

International journal of radiation oncology, biology, physics Oct 30, 2023
PURPOSE: Chat Generative Pre-Trained Transformer (ChatGPT), an artificial intelligence program that uses natural language processing to generate conversational-style responses to questions or inputs, is increasingly being used by both patients and he...
Humans Artificial Intelligence Natural Language Processing Patient-Centered Care Neoplasms Radiation Oncology
View on PubMed DOI

Extracting cancer concepts from clinical notes using natural language processing: a systematic review.

BMC bioinformatics Oct 29, 2023
BACKGROUND: Extracting information from free texts using natural language processing (NLP) can save time and reduce the hassle of manually extracting large quantities of data from incredibly complex clinical notes of cancer patients. This study aimed...
Unified Medical Language System Breast Neoplasms Natural Language Processing Algorithms Humans Female Software
View on PubMed DOI
Popular Topics
Recent Journals