Back
Top 3%
8.7%
Top 62%
8.7%
Top 13%
7.6%
Top 3%
6.2%
Top 41%
6.2%
Top 2%
5.8%
Top 0.4%
4.9%
Top 11%
4.0%
Top 1%
4.0%
Top 6%
4.0%
Top 5%
3.7%
Top 40%
3.7%
Top 1%
2.7%
Top 7%
1.9%
Top 7%
1.1%
Top 3%
1.1%
Top 16%
1.0%
Top 16%
0.9%
Top 17%
0.9%
Top 6%
0.9%
Top 7%
0.7%
Top 14%
0.7%
Top 7%
0.7%
Top 5%
0.7%
Top 9%
0.7%
Top 2%
0.7%
OncoRAG: Graph-Based Retrieval Enabling Clinical Phenotyping from Oncology Notes Using Local Mid-Size Language Models
2026-03-06
oncology
Title + abstract only
View on medRxiv
Show abstract
Introduction: Manual data extraction from unstructured clinical notes is labor-intensive and impractical for large-scale clinical and research operations. Existing automated approaches typically require large language models, dedicated computational infrastructure, and/or task-specific fine-tuning that depends on curated data. The objective of this study is to enable accurate extraction with smaller locally deployed models using a disease-site specific pipeline and prompt configuration that are ...
Predicted journal destinations
1
Cancers
57 training papers
2
PLOS ONE
1737 training papers
3
Nature Communications
483 training papers
4
Frontiers in Oncology
34 training papers
5
Scientific Reports
701 training papers
6
Clinical Cancer Research
22 training papers
7
Cancer Medicine
17 training papers
8
eLife
262 training papers
9
British Journal of Cancer
22 training papers
10
npj Digital Medicine
85 training papers
11
JAMA Network Open
125 training papers
12
BMJ Open
553 training papers
13
BMC Cancer
21 training papers
14
PLOS Computational Biology
141 training papers
15
Computers in Biology and Medicine
39 training papers
16
Communications Medicine
63 training papers
17
Journal of Medical Internet Research
81 training papers
18
PLOS Digital Health
88 training papers
19
Proceedings of the National Academy of Sciences
100 training papers
20
Journal of the American Medical Informatics Association
53 training papers
21
Diagnostics
36 training papers
22
iScience
74 training papers
23
International Journal of Molecular Sciences
39 training papers
24
Scientific Data
30 training papers
25
PeerJ
46 training papers
26
International Journal of Cancer
18 training papers