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Primary Biliary Cholangitis
The Primary Biliary Cholangitis dataset contains samples from 258 patients with PBC who entered into a randomized clinical trial. -
Lab Measurements and Diagnosis Information
The dataset used in this paper is a large-scale dataset of lab measurements and diagnosis information for 298,000 individuals. -
Human Phenotype Ontology (HPO)
The Human Phenotype Ontology (HPO) provides a standardized vocabulary for phenotypic abnormalities associated with human diseases. -
SymCAT dataset
The SymCAT dataset contains information about the symptoms associated with each disease, as well as the marginal probabilities associated with these symptoms. -
Dxy medical dialogue dataset
The Dxy medical dialogue dataset contains 41 symptoms for 5 diseases: allergic rhinitis, upper respiratory infection, pneumonia, children hand-foot-mouth disease, and pediatric... -
MuZhi medical dialogue dataset
The MuZhi medical dialogue dataset contains 66 symptoms associated with 4 diseases: children’s bronchitis, children’s functional dyspepsia, infantile diarrhea infection, and... -
Chest X-ray8: Hospital-scale chest x-ray dataset with multi-label annotated r...
A hospital-scale chest x-ray dataset with weakly-supervised classification and localization of common thorax diseases -
Padch-arXiv preprint est: A large chest x-ray image dataset with multi-label ...
A large chest x-ray image dataset with multi-label annotated reports -
Monkeypox Skin Lesion Dataset (MSLD)
The Monkeypox Skin Lesion Dataset (MSLD) is a dataset used for the classification of human monkeypox disease from skin lesion images. -
CheXpert dataset
Chest radiography is a relatively cheap, widely available medical procedure that conveys key information for making diagnostic decisions. Chest X-rays are frequently used in the... -
Pima Indians Diabetes Database
The Pima Indians Diabetes Database contains samples from females in the Pima Indian population near Phoenix, Arizona. -
ChestX-ray14
Chest X-rays are widely used to diagnose thoracic diseases, but the lack of detailed information about these abnormalities makes it challenging to develop accurate automated...