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Respiratory Disease Patient Dataset
Patient Health Records & Digital Health
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Free
About
This dataset contains detailed health information, organised into seven key columns. It includes clinical data, records of symptom monitoring, details on medication adherence, environmental factors, metrics related to healthcare utilisation, patient-reported outcomes, and longitudinal follow-up data. The dataset supports research and development in asthma management by offering insights into disease progression, triggers for exacerbations, the effectiveness of treatments, and patient outcomes. Researchers can use this dataset to develop predictive models, refine treatment approaches, assess environmental impacts, and inform healthcare policies aimed at enhancing asthma care and lessening the disease burden.
Columns
- Patient_ID: A unique identifier for each patient, ranging from 1 to 300.
- Age: The age of the patient, with values between 18 and 65 years. The mean age is 39.7.
- Gender: Indicates the patient's gender, with 53% female and 47% male.
- Smoking_Status: Describes the patient's smoking habits, categorised as Non-Smoker (36%), Current Smoker (33%), or Other (30%).
- Asthma_Diagnosis: A boolean value indicating whether the patient has an asthma diagnosis, with 52% having a true diagnosis and 48% false.
- Medication: Details the patient's medication use, including None (48%), Controller Medication (28%), or Other (24%).
- Peak_Flow: Records the patient's peak expiratory flow, with values ranging from 150 to 400. The mean peak flow is 279.
Distribution
This dataset is provided in CSV format and is approximately 13.2 kB in size. It consists of 7 columns and 300 records.
Usage
This dataset is ideal for facilitating research and development in asthma management. It can be used to gain insights into disease progression, identify triggers for exacerbations, evaluate treatment efficacy, and understand patient outcomes. Potential applications include developing predictive models for asthma, optimising treatment strategies, assessing the influence of environmental factors on the disease, and informing healthcare policies aimed at improving asthma care and reducing its burden.
Coverage
The dataset focuses on patients within India. It includes demographic information such as age, with patients ranging from 18 to 65 years, and gender distribution (53% female, 47% male). Data on smoking status, asthma diagnosis, medication, and peak flow measurements are also included. A specific time range for data collection is not specified in the provided information.
License
CC0: Public Domain
Who Can Use It
This dataset is valuable for medical researchers, data scientists, public health officials, and policymakers. Researchers can use it for scientific studies on asthma, while data scientists can develop predictive models for patient outcomes. Public health officials and policymakers can leverage the insights to inform and develop more effective healthcare strategies and policies related to asthma care.
Dataset Name Suggestions
- Asthma Patient Health Records
- COPD and Asthma Patient Data
- Indian Asthma Patient Insights
- Respiratory Disease Patient Dataset
- Asthma Management Data
Attributes
Original Data Source: Respiratory Disease Patient Dataset
QUALITY