[HTML][HTML] Benchmarking clinical speech recognition and information extraction: new data, methods, and evaluations
Background: Over a tenth of preventable adverse events in health care are caused by
failures in information flow. These failures are tangible in clinical handover; regardless of …
failures in information flow. These failures are tangible in clinical handover; regardless of …
Identifying primary and recurrent cancers using a SAS-based natural language processing algorithm
JA Strauss, CR Chao, ML Kwan… - Journal of the …, 2013 - academic.oup.com
Objective Significant limitations exist in the timely and complete identification of primary and
recurrent cancers for clinical and epidemiologic research. A SAS-based coding, extraction …
recurrent cancers for clinical and epidemiologic research. A SAS-based coding, extraction …
From text to tables: a local privacy preserving large language model for structured information retrieval from medical documents
IC Wiest, D Ferber, J Zhu, M Van Treeck, SK Meyer… - MedRxiv, 2023 - medrxiv.org
Background and Aims Most clinical information is encoded as text, but extracting quantitative
information from text is challenging. Large Language Models (LLMs) have emerged as …
information from text is challenging. Large Language Models (LLMs) have emerged as …
[HTML][HTML] Automated detection of off-label drug use
Off-label drug use, defined as use of a drug in a manner that deviates from its approved use
defined by the drug's FDA label, is problematic because such uses have not been evaluated …
defined by the drug's FDA label, is problematic because such uses have not been evaluated …
[PDF][PDF] Clinical corpus annotation: challenges and strategies
F Xia, M Yetisgen-Yildiz - … of the third workshop on building …, 2012 - faculty.washington.edu
Annotation is an important task for Natural Language Processing (NLP), and the traditional
annotation schema, including writing detailed guidelines and training annotators, has …
annotation schema, including writing detailed guidelines and training annotators, has …
[HTML][HTML] TextHunter–a user friendly tool for extracting generic concepts from free text in clinical research
M Ball, R Patel, RD Hayes, RJB Dobson… - AMIA Annual …, 2014 - ncbi.nlm.nih.gov
Observational research using data from electronic health records (EHR) is a rapidly growing
area, which promises both increased sample size and data richness-therefore …
area, which promises both increased sample size and data richness-therefore …
Machine learning and the pursuit of high-value health care
Machine Learning and the Pursuit of High-Value Health Care | NEJM Catalyst Skip to main
content NEJM Catalyst homepage Advanced Search SEARCH NEJM Catalyst homepage …
content NEJM Catalyst homepage Advanced Search SEARCH NEJM Catalyst homepage …
[HTML][HTML] How essential are unstructured clinical narratives and information fusion to clinical trial recruitment?
Electronic health records capture patient information using structured controlled
vocabularies and unstructured narrative text. While structured data typically encodes lab …
vocabularies and unstructured narrative text. While structured data typically encodes lab …
Content coding of psychotherapy transcripts using labeled topic models
Psychotherapy represents a broad class of medical interventions received by millions of
patients each year. Unlike most medical treatments, its primary mechanisms are linguistic; …
patients each year. Unlike most medical treatments, its primary mechanisms are linguistic; …
[HTML][HTML] Creation of a new longitudinal corpus of clinical narratives
Abstract The 2014 i2b2/UTHealth Natural Language Processing (NLP) shared task featured
a new longitudinal corpus of 1304 records representing 296 diabetic patients. The corpus …
a new longitudinal corpus of 1304 records representing 296 diabetic patients. The corpus …