Analysis Of ADE - 1662 Words

Abstract—Taking care and maintenance of a healthy popula- tion is the strategy of each country. It is difficult to discover all the side effects for any marketed drug so ADEs are reported by Healthcare providers and Consumers. The era of social media generates an enormous amount of data for analysis. ADEs are extracted from these sources and stored into HDFS in order to perform drug related classification using Supervised Learning algorithms. ADEs can then be validated by data analytics. The proposed system consists of combination of knowledge base and data processing engine, a simple interface for system-user interaction Which enables user to learn system quickly and use it efficiently. Experimental analysis suggests that using in-memory†¦show more content†¦So drug related data is extracted from Twitter and medical datasets, which is stored into HDFS. Sentiment Analysis helps in mining the adverse effects caused by particular drugs, which is carried out using Spark. As a result these ADEs are validated using MetaMap and can be used by consumers to optimise his intake and by doctors to prescribe the correct set of medicines. II. LITERATURE SURVEY In Efficient Adverse Drug Event Extraction using Twitter Sentiment Analysis, a simple and efficient pipeline has been proposed for retrieving ADEs. Drugs which have been in the market for more than ten years have been considered for classification and evaluation. Text similarity has proven to be a benefit during data pre-processing and using polarity classification instead of subjective classification has lead to increase in the accuracy of detecting ADEs compared to the benchmark method. Yang Peng, Melody Moh, Teng-Sheng Moh, Efficient Ad- verse Drug Event Extraction using Twitter Sentiment Analysis , in this they proposed a simple, efficient pipeline for retrieving ADEs. Any selected drug should have been in the market for more than ten years. Following this rule, there are sufficient number of tweets exist for any selected drug. Drug related classification is done on preprocessed Data. Sentimental Anal- ysis. 5 timesShow MoreRelatedMedication Errors From A Nursing1127 Words   |  5 PagesShonda Delmage Baker College of Cadillac 04/24/2015 Medication Errors Each year, roughly 1.5 million adverse drug events (ADEs) occur in acute and long-term care settings across America (Institute of Medicine [IOM], 2006). An ADE is succinctly defined as actual or potential patient harm resulting from a medication error. 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