Found: 10
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Machine Learning Approach Using Routine Immediate Postoperative Laboratory Values for Predicting Postoperative Mortality.
- Published in:
- Journal of Personalized Medicine, 2021, v. 11, n. 12, p. 1271, doi. 10.3390/jpm11121271
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- Article
Detecting drug-drug interactions between therapies for COVID-19 and concomitant medications through the FDA adverse event reporting system.
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- Frontiers in Pharmacology, 2022, v. 13, p. 1, doi. 10.3389/fphar.2022.938552
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- Article
On the core of auctions with externalities: stability and fairness.
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- RAND Journal of Economics (Wiley-Blackwell), 2020, v. 51, n. 4, p. 1093, doi. 10.1111/1756-2171.12351
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- Article
Late-onset eccrine angiomatous hamartoma on the forehead.
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- International Journal of Dermatology, 2006, v. 45, n. 5, p. 598, doi. 10.1111/j.1365-4632.2004.02397.x
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- Article
Quantitative Evaluation of the Relationship between T-Wave-Based Features and Serum Potassium Level in Real-World Clinical Practice.
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- BioMed Research International, 2018, p. 1, doi. 10.1155/2018/3054316
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- Article
Temporal trajectories of accompanying comorbidities in patients with type 2 diabetes: a Korean nationwide observational study.
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- Scientific Reports, 2020, v. 10, n. 1, p. 1, doi. 10.1038/s41598-020-62482-1
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- Article
Drug Repositioning Using Temporal Trajectories of Accompanying Comorbidities in Diabetes Mellitus.
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- Endocrinology & Metabolism, 2022, v. 37, n. 1, p. 65, doi. 10.3803/EnM.2021.1275
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- Article
Revealing the dynamic landscape of drug-drug interactions through network analysis.
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- Frontiers in Pharmacology, 2023, p. 1, doi. 10.3389/fphar.2023.1211491
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- Article
Correction: Machine learning model combining features from algorithms with different analytical methodologies to detect laboratory-event-related adverse drug reaction signals.
- Published in:
- PLoS ONE, 2019, v. 14, n. 4, p. 1, doi. 10.1371/journal.pone.0215344
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- Article
Machine learning model combining features from algorithms with different analytical methodologies to detect laboratory-event-related adverse drug reaction signals.
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- PLoS ONE, 2018, v. 13, n. 11, p. 1, doi. 10.1371/journal.pone.0207749
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- Publication type:
- Article