Dark Mode
Chronic Fatigue Syndrome Research Articles
Patient Health Records & Digital Health
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
A collection of 3,000 scientific articles offers insights into Chronic Fatigue Syndrome (CFS), also known as myalgic encephalomyelitis (ME/CFS). This complex, long-term medical condition affects millions of people in the United States and the United Kingdom. As the causes and mechanisms of the disease are not fully understood, there are currently no approved therapies or medications to treat its root cause. This compilation of all available scientific knowledge on ME/CFS indexed on Pubmed aims to provide a foundation for further research into this poorly understood illness.
Core symptoms of the condition include lengthy exacerbations after minor physical or mental activity, a greatly diminished capacity to perform routine tasks, sleep disturbances, cognitive dysfunction, and difficulty sitting or standing upright. Chronic pain is also common. Diagnosis is currently based on symptoms as no confirmed diagnostic test is available.
Columns
- ArticleId: The unique Pubmed identifier for the article.
- Title: The title of the scientific article.
- Abstract: A summary of the article's content.
- NumberCitations: The number of times the article has been cited, as measured by Pubmed.
- PublicationType: The type of article (e.g., journal article, review).
- Keywords: Author-selected keywords describing the article's subject matter.
- DOI: The Digital Object Identifier for the article.
- Authors: The names of the article's authors.
- JournalCitation: The full citation, including the journal and issue where the article was published.
Distribution
The dataset is provided as a single CSV file (
mecfs_dataset.csv) with a size of 5.97 MB. It contains information organised into 9 distinct columns.Usage
This dataset is designed for researchers and data scientists to:
- Cluster scientific literature to uncover relationships and organise existing knowledge about the disease.
- Explore trends related to authors, keywords, and publication impact metrics over time.
- Analyse the body of scientific work to identify gaps and opportunities for future research into ME/CFS.
Coverage
The data encompasses all scientific literature on ME/CFS indexed on Pubmed. It covers a global scope of research, though the condition's prevalence is noted for the United States (estimated 836,000 to 2.5 million people) and the United Kingdom (estimated 250,000 to 1,250,000 people). There is no specific time range mentioned for the publications.
License
Attribution 4.0 International (CC BY 4.0) license.
Who Can Use It
- Medical Researchers: To analyse existing literature for insights into disease mechanisms, symptoms, and potential treatments.
- Public Health Analysts: To study the landscape of scientific research surrounding a significant public health issue.
- Data Scientists: To apply natural language processing and network analysis techniques to uncover hidden patterns in scientific publications.
- Patient Advocacy Groups: To better understand the state of research and support evidence-based advocacy efforts.
Dataset Name Suggestions
- ME/CFS Scientific Literature Corpus
- Chronic Fatigue Syndrome Research Articles
- Pubmed ME/CFS Publication Data
- Myalgic Encephalomyelitis Scientific Knowledge Base
Attributes
Original Data Source: Chronic Fatigue Syndrome Research Articles
QUALITY