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metadata
license: mit
tags:
  - infinite-dataset-hub
  - synthetic

PatientReactionInsights

tags: user experience, sentiment analysis, healthcare

Note: This is an AI-generated dataset so its content may be inaccurate or false

Dataset Description:

The 'PatientReactionInsights' dataset is a compilation of patient comments extracted from healthcare forums, social media, and patient feedback forms. The dataset includes the patients' written reactions and sentiments towards their healthcare experiences. Each comment is associated with labels that reflect the patient's sentiment and the aspects of healthcare they are discussing, such as treatment effectiveness, hospital staff behavior, or facility amenities. The dataset aims to facilitate sentiment analysis and patient experience improvement by providing healthcare professionals with actionable insights.

CSV Content Preview:

comment_id,comment,label
1,"I had a great experience with the nursing staff, they were very attentive and caring.","Positive, Staff Behavior"
2,"The waiting times at the clinic were unbearable, it took over two hours to get seen by a doctor.","Negative, Waiting Time"
3,"The new treatment plan has significantly improved my condition, thank you for the personalized care.","Positive, Treatment Effectiveness"
4,"I found the facility clean and well-maintained, which made my stay more comfortable.","Positive, Facility Amenities"
5,"I am not satisfied with the hospital food quality, it was very bland and unhealthy.","Negative, Food Quality"

Source of the data:

The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'patients comments and reaction':