Mining FDA drug labels using an unsupervised learning technique-topic modeling. BMC bioinformatics. 2011; 12(10):S11. 30. Kuhn M, Campillos M, Letunic I, Jensen LJ, Bork P. A side effect resource to capture phenotypic effects of drugs. Mol Syst Biol. 2010;6(1):343. 31. Campillos M,...
Section 3.3.3 (Dataset Column Length) – Provided clarification Section 3.3.7 (Variable and Dataset Labels) – Provided clarification Section (SDTM General Considerations) – Provided clarification Section (SDTM Domain Specifications) – Provided clarification Section (General Considerations) – Provided ...
3.3.4 Variable and Dataset Descriptor Length 变量和数据集描述符长度The length of variable names, descriptive labels, and dataset labels should not exceed the maximum permissible number of characters described in Table 1变量名称、描述性标签和数据集标签的长度不应超过表 1 中描述的最大允许字符数 3.3....
DIQTA categorizes drugs based on a specific form of cardiotoxicity, drug-induced QT interval prolongation, using FDA labels as its basis. This dataset encompasses 528 drugs distributed across categories such as Most-DIQT-Concern (110 drugs), Moderate-DIQT-Concern (56 drugs), Ambiguous-DICT-Conce...
Finally, we manually curated all drug-cardiovascular (CV) pairs that appeared in both data sources and investigated whether our approach can detect many true signals that have not been included in FDA drug labels. We extracted a total of 2,787,797 drug-SE pairs from FAERS with a low ...
A Standardized dataset of a spontaneous adverse event reporting system Healthcare (Basel, Switzerland), 10 (3) (2022) Google Scholar [14] C. Michel, E. Scosyrev, M. Petrin, R. Schmouder Can disproportionality analysis of post-marketing case reports be used for comparison of drug safety pro...
In addition to the FDA determining there to be sufficient basis to reopen the de novo file, they have also requested that IceCure submit the full 5-year dataset from the ICE3 trial. With the final patient in the ICE3 study expected to complete a 5-year follow up examination by the e...
BERTopic offers one way of getting a better understanding of the topics in this dataset. In this case, we train a model on the English assistant responses part of the datasets. Resulting in a topic model with 75 topics. BERTopic gives us various ways of visualizing a dataset. We can see...
BERTopic offers one way of getting a better understanding of the topics in this dataset. In this case, we train a model on the English assistant responses part of the datasets. Resulting in a topic model with 75 topics. BERTopic gives us various ways of visualizing a dataset. We can see...
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