OMOP CDM can facilitate data-driven studies for cancer prediction: a systematic review
The current generation of sequencing technologies has led to significant advances in
identifying novel disease-associated mutations and generated large amounts of data in a …
identifying novel disease-associated mutations and generated large amounts of data in a …
[HTML][HTML] A Systematic Review of Natural Language Processing Methods and Applications in Thyroidology
R Loor-Torres, M Duran, D Toro-Tobon… - Mayo Clinic …, 2024 - Elsevier
This study aimed to review the application of natural language processing (NLP) in thyroid-
related conditions and to summarize current challenges and potential future directions. We …
related conditions and to summarize current challenges and potential future directions. We …
[HTML][HTML] Transforming Primary Care Data Into the Observational Medical Outcomes Partnership Common Data Model: Development and Usability Study
M Fruchart, P Quindroit, C Jacquemont… - JMIR Medical …, 2024 - medinform.jmir.org
Background: Patient-monitoring software generates a large amount of data that can be
reused for clinical audits and scientific research. The Observational Health Data Sciences …
reused for clinical audits and scientific research. The Observational Health Data Sciences …
Use of natural language processing to extract and classify papillary thyroid cancer features from surgical pathology reports
R Loor-Torres, Y Wu, E Cabezas, M Borras-Osorio… - Endocrine Practice, 2024 - Elsevier
Background We aim to use Natural Language Processing to automate the extraction and
classification of thyroid cancer risk factors from pathology reports. Methods We analyzed …
classification of thyroid cancer risk factors from pathology reports. Methods We analyzed …
How to Improve Cancer Patients ENrollment in Clinical Trials From rEal-Life Databases Using the Observational Medical Outcomes Partnership Oncology Extension …
E Kempf, M Vaterkowski, D Leprovost… - JCO Clinical Cancer …, 2023 - ascopubs.org
PURPOSE To compare the computability of Observational Medical Outcomes Partnership
(OMOP)–based queries related to prescreening of patients using two versions of the OMOP …
(OMOP)–based queries related to prescreening of patients using two versions of the OMOP …
Coverage of Physical Therapy Assessments in the Observational Medical Outcomes Partnership Common Data Model
MA French, P Hartman, HA Hayes… - Applied Clinical …, 2024 - thieme-connect.com
Background High-value care aims to enhance meaningful patient outcomes while reducing
costs and is accelerated by curating data across health care systems through common data …
costs and is accelerated by curating data across health care systems through common data …
Natural Language Processing for Analyzing Electronic Health Records and Clinical Notes in Cancer Research: A Review
Objective: This review aims to analyze the application of natural language processing (NLP)
techniques in cancer research using electronic health records (EHRs) and clinical notes …
techniques in cancer research using electronic health records (EHRs) and clinical notes …
A neural network-enhanced methodology for the rapid establishment of local DRLs in interventional radiology: EVAR as a case example
E Tzanis, J Damilakis - Physica Medica, 2023 - Elsevier
Purpose To develop a neural network-enhanced workflow for the automatic and rapid
establishment/update of local diagnostic reference levels (DRLs) in interventional radiology …
establishment/update of local diagnostic reference levels (DRLs) in interventional radiology …
Adoption of the OMOP CDM for Cancer Research using Real-world Data: Current Status and Opportunities
Background: The Observational Medical Outcomes Partnership (OMOP) common data
model (CDM) that is developed and maintained by the Observational Health Data Sciences …
model (CDM) that is developed and maintained by the Observational Health Data Sciences …
[HTML][HTML] Large Language Models for Efficient Medical Information Extraction
N Bhagat, O Mackey, A Wilcox - AMIA Summits on Translational …, 2024 - ncbi.nlm.nih.gov
Extracting valuable insights from unstructured clinical narrative reports is a challenging yet
crucial task in the healthcare domain as it allows healthcare workers to treat patients more …
crucial task in the healthcare domain as it allows healthcare workers to treat patients more …