Structured Clinical and Hematological Dataset for Early Dengue Diagnosis in Bangladesh
Description
Dataset overview: The dataset consists of 1,018 clinical and routine hematological records of patients with suspected dengue fever, collected from Life Aid General Hospital and Diagnostic LTD, Munshiganj, Dhaka, Bangladesh. The data was gathered during confirmed dengue outbreak periods and includes both dengue-positive (697 cases) and non-dengue (321 cases) patients. All personally identifiable information (PII) was removed to ensure privacy and ethical compliance. The dataset is structured into 13 clinical and laboratory features: Demographic : Gender, Age Hematological : Platelet Count, White Blood Cell (WBC) Count Clinical Symptoms : Fever, Duration of Fever, Headache, Muscle Pain, Vomiting, Rash Metadata : Location, Patient ID (anonymized) Outcome : Dengue Positive / Negative diagnosis Purpose: This dataset is intended to support the development of machine learning and statistical models for the early diagnosis of dengue fever using only basic clinical symptoms and routine blood parameters. By providing a reliable source of structured clinical data, it enables researchers to build automated decision-support systems that can offer low-cost and rapid screening in resource-limited healthcare settings, while also serving as a foundation for further studies in public health, epidemiology, and clinical data analysis.
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Institutions
- Daffodil International University