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What Risk Factors to Cause Long COVID and Its Impact on Patient Survival Outcomes when Combined with the Effect from Organ Transplantation in the Acute COVID
Dong, J.; Nyandemoh, A. N.; Anzalone, J.; Dai, H.; Mannon, R.
2023-08-08
infectious diseases
10.1101/2023.08.03.23293622
medRxiv
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Withdrawal statementmedRxiv has withdrawn this preprint owing to lack of consent from all listed authors. Therefore, this work should not be cited as a reference for this project.
Matching journals
●Non-profit
◐University press
○Commercial
The top 15 journals account for 50% of the predicted probability mass.
1
Nature Communications
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5641 papers in training set
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12.3%
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- Deep phenotyping of 34,128 patients hospitalised with COVID-19 and a comparison with 81,596 influenza patients in America, Europe and Asia: an international network study 88%
2
Signal Transduction and Targeted Therapy
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30 papers in training set
Top 0.1%
5.3%
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- Endothelial dysfunction determines severe COVID-19 in combination with dysregulated lymphocyte responses and cytokine networks 87%
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- Coagulation factors and COVID-19 severity: Mendelian randomization analyses and supporting evidence 86%
3
Scientific Reports
○
3612 papers in training set
Top 21%
4.5%
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- Personalized survival probabilities for SARS-CoV-2 positive patients by explainable machine learning 88%
- Identifying organ dysfunction trajectory-based subphenotypes in critically ill patients with COVID-19 88%
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4
PLOS ONE
●
5266 papers in training set
Top 32%
4.2%
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- The Advanced Organ Support (ADVOS) hemodialysis system fulfills its intended purpose: Analysis of data from 282 patients from the Registry on Extracorporeal Multiple Organ Support (EMOS) 90%
- Integrated Cross-Organ Transcriptomic Analysis Uncovers Conserved Gene Signatures Predictive of Allograft Rejection 90%
- Detailed disease progression of 213 patients hospitalized with Covid-19 in the Czech Republic: An exploratory analysis 89%
5
American Journal of Transplantation
○
18 papers in training set
Top 0.1%
3.3%
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- Direct and indirect impact of the COVID-19 pandemic on the survival of kidney transplant recipients: a national observational study in France 90%
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50% of probability mass above
"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.