Back
Top 0.2%
18.1%
Top 0.3%
11.2%
Top 20%
9.2%
Top 1%
6.6%
Top 3%
6.6%
Top 3%
6.6%
Top 2%
6.6%
Top 2%
6.1%
Top 0.7%
3.9%
Top 2%
2.8%
#1
2.8%
Top 0.9%
2.8%
Top 36%
2.0%
Top 92%
2.0%
Top 2%
1.6%
Top 10%
1.2%
Top 4%
0.7%
Top 3%
0.7%
Top 7%
0.7%
Top 5%
0.5%
From Rule-Based to DeepSeek R1: A Robust Comparative Evaluation of Fifty Years of Natural Language Processing (NLP) Models To Identify Inflammatory Bowel Disease Cohorts
2025-07-07
health informatics
Title + abstract only
View on medRxiv
Show abstract
1.11.1.1 BackgroundNatural language processing (NLP) can identify cohorts of patients with inflammatory bowel disease (IBD) from free text. However, limited sharing of code, models, and datasets continues to hinder progress, and bias in foundation large language models (LLMs) remains a significant obstacle. 1.1.2 ObjectiveTo evaluate 15 open-source NLP models for identifying IBD cohorts, reporting on document-to-patient-level classification, while exploring explainability, generalisability, bia...
Predicted journal destinations
1
Journal of the American Medical Informatics Association
53 training papers
2
Journal of Biomedical Informatics
37 training papers
3
Scientific Reports
701 training papers
4
JAMIA Open
35 training papers
5
PLOS Digital Health
88 training papers
6
npj Digital Medicine
85 training papers
7
Journal of Medical Internet Research
81 training papers
8
BMC Medical Informatics and Decision Making
36 training papers
9
International Journal of Medical Informatics
25 training papers
10
Computers in Biology and Medicine
39 training papers
11
Patterns
15 training papers
12
JMIR Medical Informatics
16 training papers
13
Nature Communications
483 training papers
14
PLOS ONE
1737 training papers
15
BMC Medical Research Methodology
41 training papers
16
PLOS Computational Biology
141 training papers
17
Scientific Data
30 training papers
18
Bioinformatics
24 training papers
19
Communications Medicine
63 training papers
20
Frontiers in Digital Health
18 training papers