LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "clinical text" as a keyword



Clinical Text Data Categorization and Feature Extraction Using Medical-Fissure Algorithm and Neg-Seq Algorithm

Sign Up to like & get
recommendations! Published in 2022 at "Computational Intelligence and Neuroscience"

DOI: 10.1155/2022/5759521

Abstract: A large amount of patient information has been gathered in Electronic Health Records (EHRs) concerning their conditions. An EHR, as an unstructured text document, serves to maintain health by identifying, treating, and curing illnesses. In… read more here.

Keywords: medical fissure; fissure algorithm; clinical text; text data ... See more keywords

CUILESS2016: a clinical corpus applying compositional normalization of text mentions

Sign Up to like & get
recommendations! Published in 2018 at "Journal of Biomedical Semantics"

DOI: 10.1186/s13326-017-0173-6

Abstract: BackgroundTraditionally text mention normalization corpora have normalized concepts to single ontology identifiers (“pre-coordinated concepts”). Less frequently, normalization corpora have used concepts with multiple identifiers (“post-coordinated concepts”) but the additional identifiers have been restricted to a… read more here.

Keywords: concept; clinical text; coordinated concepts; corpus ... See more keywords

Development and Validation of a Machine Learning Approach Leveraging Real-World Clinical Narratives as a Predictor of Survival in Advanced Cancer.

Sign Up to like & get
recommendations! Published in 2022 at "JCO clinical cancer informatics"

DOI: 10.1200/cci.22.00064

Abstract: PURPOSE Predicting short-term mortality in patients with advanced cancer remains challenging. Whether digitalized clinical text can be used to build models to enhance survival prediction in this population is unclear. MATERIALS AND METHODS We conducted… read more here.

Keywords: clinical text; validation; machine learning; advanced cancer ... See more keywords

Scientific Evidence for Clinical Text Summarization Using Large Language Models: Scoping Review

Sign Up to like & get
recommendations! Published in 2024 at "Journal of Medical Internet Research"

DOI: 10.2196/68998

Abstract: Background Information overload in electronic health records requires effective solutions to alleviate clinicians’ administrative tasks. Automatically summarizing clinical text has gained significant attention with the rise of large language models. While individual studies show optimism,… read more here.

Keywords: large language; summarization; clinical text; language ... See more keywords

Clinical Text Mining on FHIR

Sign Up to like & get
recommendations! Published in 2019 at "Studies in health technology and informatics"

DOI: 10.3233/shti190188

Abstract: Semantic standards and human language technologies are key enablers for semantic interoperability across heterogeneous document and data collections in clinical information systems. Data provenance is awarded increasing attention, and it is especially critical where clinical… read more here.

Keywords: text; text mining; mining fhir; clinical text ... See more keywords

Impact of De-Identification on Clinical Text Classification Using Traditional and Deep Learning Classifiers

Sign Up to like & get
recommendations! Published in 2019 at "Studies in health technology and informatics"

DOI: 10.3233/shti190228

Abstract: Clinical text de-identification enables collaborative research while protecting patient privacy and confidentiality; however, concerns persist about the reduction in the utility of the de-identified text for information extraction and machine learning tasks. In the context… read more here.

Keywords: clinical text; learning models; learning; impact identification ... See more keywords

Negation Detection for Clinical Text Mining in Russian

Sign Up to like & get
recommendations! Published in 2020 at "Studies in health technology and informatics"

DOI: 10.3233/shti200179

Abstract: Developing predictive modeling in medicine requires additional features from unstructured clinical texts. In Russia, there are no instruments for natural language processing to cope with problems of medical records. This paper is devoted to a… read more here.

Keywords: detection clinical; clinical text; text mining; negation detection ... See more keywords

Developing Robust Clinical Text Deep Learning Models - A "Painless" Approach

Sign Up to like & get
recommendations! Published in 2024 at "Studies in health technology and informatics"

DOI: 10.3233/shti231056

Abstract: The success of deep learning in natural language processing relies on ample labelled training data. However, models in the health domain often face data inadequacy due to the high cost and difficulty of acquiring training… read more here.

Keywords: deep learning; text deep; developing robust; clinical text ... See more keywords

Annotation of Opioid Use Disorder Entity Modifiers in Clinical Text

Sign Up to like & get
recommendations! Published in 2024 at "Studies in health technology and informatics"

DOI: 10.3233/shti231243

Abstract: Natural Language Processing can be used to identify opioid use disorder in patients from clinical text1. We annotate a corpus of clinical text for mentions of concepts associated with unhealthy use of opiates including concept… read more here.

Keywords: use disorder; annotation opioid; use; clinical text ... See more keywords

A Reproducible Model Based on Clinical Text for Predicting Suicidal Behavior

Sign Up to like & get
recommendations! Published in 2024 at "Studies in health technology and informatics"

DOI: 10.3233/shti231257

Abstract: Suicide risk models are critical for prioritizing patients for intervention. We demonstrate a reproducible approach for training text classifiers to identify patients at risk. The models were effective in phenotyping suicidal behavior (F1=.94) and moderately… read more here.

Keywords: model based; suicidal behavior; based clinical; clinical text ... See more keywords

Balanced Knowledge Transfer in MTTL-ClinicalBERT: A Symmetrical Multi-Task Learning Framework for Clinical Text Classification

Sign Up to like & get
recommendations! Published in 2025 at "Symmetry"

DOI: 10.3390/sym17060823

Abstract: Clinical text classification presents significant challenges in healthcare informatics due to inherent asymmetries in domain-specific terminology, knowledge distribution across specialties, and imbalanced data availability. We introduce MTTL-ClinicalBERT, a symmetrical multi-task transfer learning framework that harmonizes… read more here.

Keywords: text classification; knowledge; clinical text; knowledge transfer ... See more keywords