US Clinical Trials

**Overview**
This data package contains datasets on clinical trials conducted in the United States. Diseases include cervical cancer, diabetes, acute respiratory infection as well as stress. This data package also includes clinical trials registry and results database.

**Description**
This data package contains the clinical trial on different diseases and conditions. The Clinical Trials Registry and Results Database compiles information on publicly and privately supported clinical trial studies on a wide range of diseases and conditions. The dataset on Cervical Cancer Screening provides demographic information, habits, and historic medical records of the 858 patients from Hospital Universitario de Caracas in Caracas, Venezuela. Diabetes prevalence study seeks to understand the prevalence of obesity, diabetes, and other cardiovascular risk factors in central Virginia for African Americans. Dobutamine stress cardiography seeks to determine if a drug called “Dobutamine” can be used effectively in a test to measure a patient’s risk of having a heart attack or cardiac event. WHO ARI Young Infant Multicenter Study was conducted to develop a clinical prediction model to assist health workers in developing countries in the presentation of an acutely ill young infant.

**Benefits**
- This data can be useful for patients, their family members, healthcare professionals, researchers, and the public as it provides an easy access to both privately and publicly funded clinical trials information.

**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**
- [Cervical Cancer Screening](https://johnsnowlabs.com/wp-json/datasets-api/v1/cervical-cancer-screening)
- This dataset is composed of responses from 858 patients and 36 variables focusing on the prediction of indicators or diagnosis of cervical cancer. The dataset provides demographic information, habits, and historic medical records of the 858 patients from Hospital Universitario de Caracas in Caracas, Venezuela. A number of the patients did not answer some of the questions due to privacy concerns.
- [Clinical Trials Registry and Results Database](https://johnsnowlabs.com/wp-json/datasets-api/v1/clinical-trials-registry-and-results-database)
- The Clinical Trials Registry and Results Database compiles information on publicly and privately supported clinical trial studies on a wide range of diseases and conditions. Its main goal is to provide an easy access to both privately and publicly funded clinical trials information for patients, their family members, healthcare professionals, researchers, and the public.
- [Diabetes Prevalence in African Americans](https://johnsnowlabs.com/wp-json/datasets-api/v1/diabetes-prevalence-in-african-americans)
- The dataset consists of 19 variables on 403 subjects from 1046 subjects who were interviewed in a study to understand the prevalence of obesity, diabetes, and other cardiovascular risk factors in central Virginia for African Americans.
- [Dobutamine Stress Echocardiography Data](https://johnsnowlabs.com/wp-json/datasets-api/v1/dobutamine-stress-echocardiography-data)
- The dataset contains the complete data for the final study population for the Dobutamine Stress Echocardiography test which includes 558 subjects and 31 variables.
- [WHO ARI Young Infant Multicenter Study](https://johnsnowlabs.com/wp-json/datasets-api/v1/who-ari-young-infant-multicenter-study)
- This dataset contains 4552 observations and 97 variables. This dataset is from The World Health Organization Multicentre Acute Respiratory Infection (WHO ARI) Study of Clinical Signs and Etiological Agents of Pneumonia, Sepsis, and Meningitis in Young Infants.

**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 [[e-mail]](mailto:[e-mail]).