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A Holistic Ecosystem for Clinical Protocols and Trials Management

Christopoulou, S.

2024-03-20 health informatics
10.1101/2024.03.10.24304032 medRxiv
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The proposed Holistic Ecosystem for clinical Protocols and Trials Management (clinicalNET) project aims to establish a human and technical network of healthcare researchers, business partners, and stakeholders. The consortium will include specialists from various fields, including healthcare management, medicine, computer engineering, marketing, publishing, and public relations. The project will design and implement a semantically enabled information system for representing data and knowledge gathered during clinical trials. The clinicalNET project will define specifications for healthcare management services and knowledge engineering techniques, creating an intelligent collaborative web tool for information production and provision in healthcare. It will follow EU health policies and promote participation from leading researchers, stakeholders, and organizations. The clinicalNET will provide a health holistic ecosystem approach with open standards, trusted networks, and co-creator networks.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
BMC Medical Informatics and Decision Making
○ 43 papers in training set
Top 0.1%
14.8%
Similar papers in this journal
2
PLOS ONE
● 5266 papers in training set
Top 15%
12.4%
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3
Journal of Biomedical Informatics
○ 47 papers in training set
Top 0.2%
7.1%
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4
Informatics in Medicine Unlocked
○ 22 papers in training set
Top 0.2%
5.1%
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5
JMIR Medical Informatics
◐ 18 papers in training set
Top 0.1%
4.2%
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6
Computers in Biology and Medicine
○ 128 papers in training set
Top 1%
3.2%
7
Database
◐ 61 papers in training set
Top 0.2%
3.2%
8
BMJ Health & Care Informatics
● 15 papers in training set
Top 0.3%
3.2%
50% of probability mass above
9
Journal of Medical Internet Research
◐ 87 papers in training set
Top 0.9%
3.2%
10
Frontiers in Digital Health
○ 24 papers in training set
Top 0.3%
3.1%
11
Frontiers in Public Health
○ 148 papers in training set
Top 2%
2.6%
12
JAMIA Open
◐ 42 papers in training set
Top 0.8%
2.3%
13
DIGITAL HEALTH
○ 17 papers in training set
Top 0.3%
2.3%
14
PLOS Digital Health
● 106 papers in training set
Top 2%
2.3%
15
International Journal of Medical Informatics
○ 26 papers in training set
Top 0.6%
1.9%
16
JMIR Formative Research
◐ 33 papers in training set
Top 0.8%
1.9%
17
BMJ Open
● 601 papers in training set
Top 9%
1.7%
18
JMIRx Med
◐ 32 papers in training set
Top 1%
1.7%
19
GigaScience
◐ 212 papers in training set
Top 3%
1.5%
20
Computer Methods and Programs in Biomedicine
○ 28 papers in training set
Top 0.6%
1.4%
21
International Journal of Environmental Research and Public Health
○ 128 papers in training set
Top 4%
1.3%
22
Frontiers in Artificial Intelligence
○ 20 papers in training set
Top 0.5%
1.1%
23
Scientific Reports
○ 3612 papers in training set
Top 65%
1.1%
24
Artificial Intelligence in Medicine
○ 17 papers in training set
Top 0.6%
1.1%
25
Orphanet Journal of Rare Diseases
○ 21 papers in training set
Top 0.5%
1.0%
26
iScience
○ 1154 papers in training set
Top 32%
1.0%
27
Journal of the American Medical Informatics Association
◐ 71 papers in training set
Top 2%
0.8%
28
Journal of Personalized Medicine
○ 28 papers in training set
Top 2%
0.6%
29
Life
○ 29 papers in training set
Top 1%
0.6%
30
BioMed Research International
○ 28 papers in training set
Top 2%
0.6%

"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.