Improving how biomedical articles are indexed for easier access
Automated Indexing for Publication Types and Study Designs
['FUNDING_R01'] · UNIVERSITY OF ILLINOIS AT CHICAGO · NIH-10898031
This study is working on a new tool called Multi-Tagger 2.0 that will help researchers and healthcare professionals find important medical articles more easily by automatically sorting them into categories, making it quicker for everyone to access the information they need.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF ILLINOIS AT CHICAGO (nih funded) |
| Locations | 1 site (Chicago, UNITED STATES) |
| Trial ID | NIH-10898031 on ClinicalTrials.gov |
What this research studies
This research focuses on enhancing the indexing of biomedical articles to improve their retrieval from bibliographic databases. It aims to develop an advanced tool called Multi-Tagger 2.0, which will use machine learning to automatically categorize articles by their publication types and study designs. By optimizing the indexing process, the project seeks to make it easier for researchers and healthcare professionals to find relevant literature quickly and efficiently. The study will also evaluate the performance of the indexing methods and ensure that the information is accessible to various users through improved interfaces.
Who could benefit from this research
Good fit: Ideal candidates for benefiting from this research include healthcare professionals, researchers, and patients involved in clinical studies who rely on accessing biomedical literature.
Not a fit: Patients who are not engaged in research or do not require access to biomedical literature may not receive direct benefits from this research.
Why it matters
Potential benefit: If successful, this research could significantly streamline the process of finding relevant biomedical literature, ultimately aiding in better-informed healthcare decisions.
How similar studies have performed: Other research has shown success with automated indexing approaches, indicating that this method has potential for effective implementation.
Where this research is happening
Chicago, UNITED STATES
- UNIVERSITY OF ILLINOIS AT CHICAGO — Chicago, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: SMALHEISER, NEIL R — UNIVERSITY OF ILLINOIS AT CHICAGO
- Study coordinator: SMALHEISER, NEIL R
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.