Background: CISMeF is a French quality-controlled health gateway that uses the MeSH thesaurus. We introduced two new concepts, metaterms (medical specialty which has semantic links with one or more MeSH terms, subheadings and resource types) and resource types.
Objective: Evaluate precision and recall of metaterms.
Methods: We created 16 pairs of queries. Each pair concerned the same topic, but one used metaterms and one MeSH terms. To assess precision, each document retrieved by the query was classified as irrelevant, partly relevant or fully relevant.
Results: The 16 queries yielded 943 documents for metaterm queries and 139 for MeSH term queries. The recall of MeSH term queries was 0.44 (compared to 1 for metaterm queries) and the precision were identical for MeSH term and metaterm queries.
Conclusion: Metaconcept such as CISMeF metaterms allows a better recall with a similar precision that MeSH terms in a quality controlled health gateway.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2655924 | PMC |
Publication Analysis
Top Keywords
Similar Publications
The pregnant pause: Engaging and involving public contributors in maternal health research.
Midwifery
January 2025
Professor of Journalism and Health Communication, Deputy Dean, Faculty of Media and Communication, Weymouth House W424, Talbot Campus, Fern Barrow, Poole, BH12 5BB. Electronic address:
Sitravatinib in combination with nivolumab plus ipilimumab in patients with advanced clear cell renal cell carcinoma: a phase 1 trial.
Nat Commun
January 2025
Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
We conducted a phase I trial to determine the optimal dose of triplet therapy with the tyrosine kinase inhibitor sitravatinib plus nivolumab plus ipilimumab in 22 previously untreated patients with advanced clear cell renal cell carcinoma. The primary endpoint was safety. Secondary endpoints were objective response rate (ORR), disease control rate (DCR), duration of response (DOR), progression-free survival (PFS), overall survival (OS), 1-year survival probability, and sitravatinib pharmacokinetics.
View Article and Find Full Text PDFImmunogenomic determinants of exceptional response to immune checkpoint inhibition in renal cell carcinoma.
Nat Cancer
January 2025
Department of Hematopoietic Biology and Malignancy, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Immune checkpoint inhibitors can lead to 'exceptional', durable responses in a subset of persons. However, the molecular basis of exceptional response (ER) to immunotherapy in metastatic clear cell renal cell carcinoma (mccRCC) has not been well characterized. Here we analyzed pretherapy genomic and transcriptomic data in treatment-naive persons with mccRCC treated with standard-of-care immunotherapies: (1) combination of programmed cell death protein and ligand 1 (PD1/PDL1) and cytotoxic T lymphocyte-associated protein 4 inhibitors (IO/IO) or (2) combination of PD1/PDL1 and vascular endothelial growth factor (VEGF) receptor inhibitors (IO/VEGF).
View Article and Find Full Text PDFUnraveling the Atomistic Mechanism of Electrostatic Lateral Association of Peptide β-Sheet Structures and Its Role in Nanofiber Growth and Hydrogelation.
Small
January 2025
Leicester Institute for Pharmaceutical Innovation, Leicester School of Pharmacy, De Montfort University, The Gateway, Leicester, LE1 9BH, UK.
Guiding molecular assembly of peptides into rationally engineered nanostructures remains a major hurdle against the development of functional peptide-based nanomaterials. Various non-covalent interactions come into play to drive the formation and stabilization of these assemblies, of which electrostatic interactions are key. Here, the atomistic mechanisms by which electrostatic interactions contribute toward controlling self-assembly and lateral association of ultrashort β-sheet forming peptides are deciphered.
View Article and Find Full Text PDFA generalist medical language model for disease diagnosis assistance.
Nat Med
January 2025
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China.
The delivery of accurate diagnoses is crucial in healthcare and represents the gateway to appropriate and timely treatment. Although recent large language models (LLMs) have demonstrated impressive capabilities in few-shot or zero-shot learning, their effectiveness in clinical diagnosis remains unproven. Here we present MedFound, a generalist medical language model with 176 billion parameters, pre-trained on a large-scale corpus derived from diverse medical text and real-world clinical records.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!