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

anvisa2014_2020: This is a pre processed data from the sales data of industrial pharmaceuticals from SNGPC, Brazil's data.preprocessing_anvisa_ana_datasets: the data manipulation of ANVISA and ANA data to the final dataset anvisa2014_2020. Antibioticos/Carbamazepina: contains the main codes of the prediction models to classify the occurrence concentrations of some antibiotics and Carbamazepine, by tree boosting algorithms.Sensitivity Analysiscargas25_50_75_AS: contains the pre processed updated dataset of pharmaceuticals sales data for the 3 scenarium conditions.carb_AS/ antibioticos_AS: 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.anvisa2014_2020：该数据集为巴西SNGPC公司工业制药销售数据的预处理版本，源自巴西本地数据集。 preprocessing_anvisa_ana_datasets：该模块完成ANVISA与ANA数据集的数据处理操作，最终生成anvisa2014_2020目标数据集。 Antibioticos/Carbamazepina：该目录包含基于树提升（tree boosting）算法的预测模型核心代码，用于分类部分抗生素与卡马西平（Carbamazepine）的检出浓度。 Sensitivity Analysiscargas25_50_75_AS：该目录包含针对3种场景条件的制药销售数据预处理更新数据集。 carb_AS/ antibioticos_AS：用于卡马西平与抗生素敏感性建模的最终集成数据集。上述数据集可直接运行于基础模型的同一段代码中。