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PharmAverse: An Interactive Dashboard Using MedDRA Hierarchy

Omran, A.; Fuezi, B.; Amberg, A.; Ecker, G. F.

2025-06-18 pharmacology and toxicology
10.1101/2025.06.17.660110 bioRxiv
Show abstract

The Medical Dictionary for Regulatory Activities (MedDRA) is a standardized international medical terminology widely used in databases that collect adverse event data for drugs. MedDRA employs a hierarchical structure, allowing for analysis at different levels of granularity. However, as the volume of adverse event data continues to grow, and given MedDRAs complexity, it becomes increasingly challenging to analyze, and visualize the information effectively. To address this, PharmAverse was developed--an interactive dashboard designed to facilitate the analysis and visualization of adverse event data using MedDRA terms. It offers three main views: Adverse Events, Drug, and Target.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Frontiers in Pharmacology
○ 111 papers in training set
Top 0.1%
18.7%
Similar papers in this journal
2
PLOS ONE
● 5266 papers in training set
Top 16%
11.2%
Similar papers in this journal
3
Bioinformatics
◐ 1204 papers in training set
Top 4%
5.5%
Similar papers in this journal
4
Nucleic Acids Research
◐ 1281 papers in training set
Top 4%
4.9%
Similar papers in this journal
5
Computational and Structural Biotechnology Journal
● 242 papers in training set
Top 0.8%
4.4%
6
Computers in Biology and Medicine
○ 128 papers in training set
Top 0.8%
4.4%
Similar papers in this journal
7
Patterns
○ 78 papers in training set
Top 0.5%
3.3%
50% of probability mass above
8
Pharmacoepidemiology and Drug Safety
○ 18 papers in training set
Top 0.1%
3.3%
9
BMC Research Notes
○ 33 papers in training set
Top 0.1%
2.5%
10
Journal of Medical Internet Research
◐ 87 papers in training set
Top 1%
1.9%
11
Journal of Translational Medicine
○ 57 papers in training set
Top 0.6%
1.9%
12
Nature Protocols
○ 33 papers in training set
Top 0.3%
1.7%
13
BMC Bioinformatics
○ 457 papers in training set
Top 4%
1.5%
14
Database
◐ 61 papers in training set
Top 0.5%
1.3%
15
Drug Safety
○ 10 papers in training set
Top 0.2%
1.1%
16
eLife
● 5828 papers in training set
Top 58%
1.1%
17
Pharmaceutics
○ 24 papers in training set
Top 0.5%
1.1%
18
PLOS Computational Biology
● 1863 papers in training set
Top 17%
1.1%
19
Scientific Reports
○ 3612 papers in training set
Top 66%
1.1%
20
Frontiers in Artificial Intelligence
○ 20 papers in training set
Top 0.5%
1.0%
21
Molecules
○ 39 papers in training set
Top 1%
1.0%
22
Scientific Data
○ 209 papers in training set
Top 2%
1.0%
23
Journal of Chemical Information and Modeling
● 238 papers in training set
Top 2%
1.0%
24
Nature Communications
○ 5641 papers in training set
Top 55%
0.9%
25
Journal of Cheminformatics
○ 29 papers in training set
Top 0.7%
0.9%
26
NAR Genomics and Bioinformatics
◐ 242 papers in training set
Top 4%
0.9%
27
MethodsX
○ 16 papers in training set
Top 0.2%
0.9%
28
Biomolecules
○ 100 papers in training set
Top 3%
0.9%
29
Frontiers in Bioinformatics
○ 49 papers in training set
Top 1%
0.9%
30
PeerJ
◐ 308 papers in training set
Top 10%
0.9%

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.