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Adverse Drug And Product Reaction

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Databricks2024-05-09 收录
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https://marketplace.databricks.com/details/d5c4e7d2-59e5-4b05-87bc-fee2038a0f66/John-Snow-Labs_Adverse-Drug-And-Product-Reaction
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**Overview** This data package contains information about the drugs and chemicals that contribute to certain symptoms or diseases. It also includes adverse drug reactions that are associated with the product and substance with MedDRA Preferred Term (PT), PT codes and System Organ Class (SOC) codes. **Description** This data package includes list of adverse drug reactions that are associated with the products and substances with MedDRA Preferred Term (PT), PT codes, System Organ Class (SOC) codes etc. It lists adverse drug reactions in 4.8 of the Summary of Product Characteristics (SPPC) of the EU authorized medicinal products based on centralized procedure. The database follows MedDRA terminology. MedDRA Preferred Terms (PT) are used to facilitate the accuracy of ADR descriptions. The data package also consists of information that helps to determine if certain chemicals contribute to a disease, and if they do then what is the relationship of a drug to certain symptoms or diseases. There are two types of relationships; A drug either "Caused side effects" or "was effective against symptom. **Benefits** - helps to determine whether or not adverse reactions are recorded in the european summary of product characteristics (spc). - meddra preferred terms (pt) that are present in the dataset are used to facilitate the accuracy of adr (adverse drug reactions) descriptions. - meddra preferred terms (pt) are used to map terms of the spc. - helps to understand which drugs or chemicals cause which type of disease **License Information** The use of John Snow Labs datasets is free for personal and research purposes. For commercial use please subscribe to the [Data Library](https://www.johnsnowlabs.com/marketplace/) on John Snow Labs website. The subscription will allow you to use all John Snow Labs datasets and data packages for commercial purposes. **Included Datasets** - [Adverse Reaction with Preferred Term and System Organ Class Codes](https://www.johnsnowlabs.com/marketplace/adverse-reaction-with-preferred-term-and-system-organ-class-codes) - The database includes adverse drug reaction that is associated with the product and substance with MedDRA Preferred Term (PT), PT codes, System Organ Class (SOC) codes etc. This structured database can be used to know whether or not adverse reactions are recorded in the European Summary of Product Characteristics (SPC). - [Chemicals Contributing to Disease](https://www.johnsnowlabs.com/marketplace/chemicals-contributing-to-disease) - This dataset consists of information that helps to determine if certain chemicals contribute to a disease. - [Drug Relationship Database](https://www.johnsnowlabs.com/marketplace/drug-relationship-database) - This dataset is about the relationship of a drug to certain symptoms or diseases. There are two types of relationships; A drug either "Caused side effects" or "was effective against symptom". **Data Engineering Overview** **We deliver high-quality data** - Each dataset goes through 3 levels of quality review - 2 Manual reviews are done by domain experts - Then, an automated set of 60+ validations enforces every datum matches metadata & defined constraints - Data is normalized into one unified type system - All dates, unites, codes, currencies look the same - All null values are normalized to the same value - All dataset and field names are SQL and Hive compliant - Data and Metadata - Data is available in both CSV and Apache Parquet format, optimized for high read performance on distributed Hadoop, Spark & MPP clusters - Metadata is provided in the open Frictionless Data standard, and its every field is normalized & validated - Data Updates - Data updates support replace-on-update: outdated foreign keys are deprecated, not deleted **Our data is curated and enriched by domain experts** Each dataset is manually curated by our team of doctors, pharmacists, public health & medical billing experts: - Field names, descriptions, and normalized values are chosen by people who actually understand their meaning - Healthcare & life science experts add categories, search keywords, descriptions and more to each dataset - Both manual and automated data enrichment supported for clinical codes, providers, drugs, and geo-locations - The data is always kept up to date – even when the source requires manual effort to get updates - Support for data subscribers is provided directly by the domain experts who curated the data sets - Every data source’s license is manually verified to allow for royalty-free commercial use and redistribution. **Need Help?** If you have questions about our products, contact us at [info@johnsnowlabs.com](mailto:info@johnsnowlabs.com).
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