AIMC Topic: Natural Language Processing

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Natural language processing in narrative breast radiology reporting in University Malaya Medical Centre.

Health informatics journal
Radiology reporting is narrative, and its content depends on the clinician's ability to interpret the images accurately. A tertiary hospital, such as anonymous institute, focuses on writing reports narratively as part of training for medical personne...

Machine learning-based natural language processing to extract PD-L1 expression levels from clinical notes.

Health informatics journal
PD-L1 expression is used to determine oncology patients' response to and eligibility for immunologic treatments; however, PD-L1 expression status often only exists in unstructured clinical notes, limiting ability to use it in population-level studie...

Malnutrition and its contributing factors for older people living in residential aged care facilities: Insights from natural language processing of aged care records.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Malnutrition is a serious health risk facing older people living in residential aged care facilities. Aged care staff record observations and concerns about older people in electronic health records (EHR), including free-text progress not...

Programming techniques for improving rule readability for rule-based information extraction natural language processing pipelines of unstructured and semi-structured medical texts.

Health informatics journal
BACKGROUND: Extraction of medical terms and their corresponding values from semi-structured and unstructured texts of medical reports can be a time-consuming and error-prone process. Methods of natural language processing (NLP) can help define an ext...

Prescreening in oncology trials using medical records. Natural language processing applied on lung cancer multidisciplinary team meeting reports.

Health informatics journal
Defining profiles of patients that could benefit from relevant anti-cancer treatments is essential. An increasing number of specific criteria are necessary to be eligible to specific anti-cancer therapies. This study aimed to develop an automated alg...

CafeteriaSA corpus: scientific abstracts annotated across different food semantic resources.

Database : the journal of biological databases and curation
In the last decades, a great amount of work has been done in predictive modeling of issues related to human and environmental health. Resolution of issues related to healthcare is made possible by the existence of several biomedical vocabularies and ...

Identifying Nonpatient Authors of Patient Portal Secure Messages in Oncology: A Proof-of-Concept Demonstration of Natural Language Processing Methods.

JCO clinical cancer informatics
PURPOSE: Patient portal secure messages are not always authored by the patient account holder. Understanding who authored the message is particularly important in an oncology setting where symptom reporting is crucial to patient treatment. Natural la...

BioGPT: generative pre-trained transformer for biomedical text generation and mining.

Briefings in bioinformatics
Pre-trained language models have attracted increasing attention in the biomedical domain, inspired by their great success in the general natural language domain. Among the two main branches of pre-trained language models in the general language domai...

Structuring Research Directions in Medical Domain with Topic Modeling: Application for PhD Theses Synopses in Dentistry.

Studies in health technology and informatics
The study analyzed scientific texts based on a manually created database of synopses of theses in dentistry. The main goal was to structure medical texts into various topics by means of natural language processing techniques (topic modeling). Further...

BERN2: an advanced neural biomedical named entity recognition and normalization tool.

Bioinformatics (Oxford, England)
UNLABELLED: In biomedical natural language processing, named entity recognition (NER) and named entity normalization (NEN) are key tasks that enable the automatic extraction of biomedical entities (e.g. diseases and drugs) from the ever-growing biome...