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Medical Diagnosis Assistant Dataset
Patient Health Records & Digital Health
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Free
About
The prediction of diseases based on observed symptoms. It serves as a valuable resource for students and developers aiming to create healthcare-related systems. The collection includes details on various diseases, their associated symptoms, recommended precautions, and symptom weights, all presented with clear, pre-cleaned headers. It also incorporates information related to Covid disease.
Columns
The dataset features columns that define diseases, their corresponding symptoms, necessary precautions, and the weight attributed to each symptom. Specific symptom columns observed include:
abdominal_painabnormal_menstruationacidityacute_liver_failurealtered_sensoriumanxietyback_painbelly_painblackheadsbladder_discomfortEach symptom column typically indicates presence (1) or absence (0).
Distribution
The data is typically structured in a CSV format. A sample file,
Testing.csv, is approximately 13.95 kB in size and contains 10 out of a total of 135 columns. For the columns observed in the sample, there are 42 valid records, with no mismatched or missing entries.Usage
This dataset is ideally suited for applications focused on disease symptom prediction. It can be utilised in projects for developing healthcare systems, such as diagnostic tools or patient information platforms. A related project is available on PredictIt.
Coverage
The provided information does not specify the geographic, time range, or demographic scope of the data.
License
CC BY-SA 4.0
Who Can Use It
The dataset is primarily intended for students. They can use it to build and train machine learning models for healthcare-related systems, particularly for predicting diseases from symptoms.
Dataset Name Suggestions
- Disease Symptom Predictor
- Healthcare Symptom Data
- Medical Diagnosis Assistant Dataset
- Symptom-Based Disease Identification
- Clinical Symptom Predictor
Attributes
Original Data Source:Medical Diagnosis Assistant Dataset
QUALITY