Cardiovascular Disease Data

Citation Author(s):
Bing
Li
Yaoting
Zhang
Yang
Zheng
He
Cai
Submitted by:
He Cai
Last updated:
Fri, 09/29/2023 - 07:41
DOI:
10.21227/hb6r-5y39
License:
0
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Abstract 

Cardiovascular diseases (CVD) are a leading global health concern. Comprehensive data on CVD and key biomarkers play a pivotal role in deciphering individual symptomatology. These biomarkers encompass a range of physiological indicators, such as cholesterol levels, blood pressure, and inflammatory markers like C-reactive protein. The dataset, meticulously compiled from diverse sources and clinical studies, serves as a rich repository of information on cardiovascular diseases and associated biomarkers, offering researchers and healthcare practitioners a valuable resource to delve deeper into the complexities of CVD and refine diagnostic and therapeutic approaches. Understanding the data patterns and variations aids in early detection, risk assessment, and personalized treatment strategies for CVD. Additionally, genetic markers and advanced diagnostic imaging contribute to a holistic understanding of CVD risk factors. This data-driven approach empowers healthcare professionals to tailor interventions, promoting timely prevention and management of cardiovascular diseases, ultimately enhancing patient outcomes and quality of life. 

Instructions: 

The data is conveniently presented in CSV (Comma-Separated Values) format, offering simplicity and ease of use for researchers and analysts. This format's straightforward structure allows users to effortlessly import and manipulate the data in popular data analysis tools like Python and R. With CSV, data can be quickly loaded into data frames, making it accessible for a wide range of statistical analyses, machine learning models, and visualization tasks. This user-friendly format fosters efficient exploration and interpretation of the cardiovascular disease dataset, empowering researchers to extract valuable insights and make informed decisions in their investigations. 

Comments

The researchers can utilize the dataset for further study.

Submitted by He Cai on Fri, 09/29/2023 - 07:42

aa

Submitted by Camila Melian on Mon, 10/02/2023 - 21:00

help

Submitted by Bill Van Antwerp on Wed, 10/04/2023 - 16:44

Please can i have a word description of what each column header means... Thanks

Submitted by Ezinne Anyaegbudike on Sun, 02/18/2024 - 13:59