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Prediction of pharmaceuticals occurrence based on sales data and Machine learning algorithms.

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DataCite Commons2025-09-05 更新2026-04-25 收录
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https://figshare.com/articles/dataset/anvisa2014_2020_This_is_a_pre_processed_data_from_the_sales_data_of_industrial_pharmaceuticals_from_SNGPC_Brazil_s_data_Antibioticos_Carbamazepina_contains_the_code_of_the_prediction_models_to_classify_the_occurrence_concentrations_of_some_/30017338/5
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<b>anvisa2014_2020</b>: This is a pre processed data from the sales data of industrial pharmaceuticals from SNGPC, Brazil's data.<b>preprocessing_anvisa_ana_datasets</b>: the data manipulation of ANVISA and ANA data to the final dataset anvisa2014_2020. <b>Antibioticos/Carbamazepina</b>: contains the main codes of the prediction models to classify the occurrence concentrations of some antibiotics and Carbamazepine, by tree boosting algorithms.<b>Sensitivity Analysis</b><b>cargas25_50_75_AS:</b> contains the pre processed updated dataset of pharmaceuticals sales data for the 3 scenarium conditions.<b>carb_AS/ antibioticos_AS</b>: the final integrated dataset used for modeling Carbamazepine and Antibiotics sensitivity models. These datasets can be executed on the same code of the base models.
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figshare
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2025-09-05
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