19 datasets found

The dataset consists of samples of healthy bone marrow and leukemia bone marrow samples.

The dataset consists of samples of either peripheral blood (PB) or bone marrow (BM) from patients without any sign of bone marrow disease at two different healthcare centers...

The Dermatology dataset consists of 34 features and 358 instances classifying the type of erythematous-squamous disease into six classes.

The dataset used in this paper is a real-world arrhythmia dataset for evaluating the resilience of linear classification algorithms under training data attacks.

Medical diagnosis assistant (MDA) aims to build an interactive diagnostic agent to sequentially inquire about symptoms for discriminating diseases.

The dataset used in the paper is a simulated medical diagnosis task, where patients can lie about their symptoms, and the goal is to predict pregnancy based on self-reported...

The dataset used in the paper is a medical dataset for blood cell classification.

The dataset used in the paper is a medical dataset for diabetes detection.

Heart disease dataset is used to detect the existence of heart disease in patients. The dataset contains 70+ features.

The Aptos dataset is a collection of 705 retinal images with a severity score assigned by a medical expert. The dataset is used to evaluate the performance of the distorted...

The Stare dataset is a collection of 373 retinal images with a severity score assigned by a medical expert. The dataset is used to evaluate the performance of the distorted...

The Messidor dataset is a collection of 400 eye images with a severity score assigned by a medical expert. The dataset is used to evaluate the performance of the distorted...

The dataset used in this study for exploring white-box attacks and defenses on quantum neural networks under depolarization noise.

The dataset used in this study for exploring white-box attacks and defenses on quantum neural networks under depolarization noise.

The dataset contains 200 babies with congenital heart disease, with quality assessed into terms measuring lack of discrimination and reliability.

The dataset contains 27 main diseases, each with 2 to 5 possible subjective probabilities, exclusive of 0 and 100.

Disc-medllm: Bridging general large language models and real-world medical consultation.

A large-scale Chinese benchmark for evaluating medical large language models. The dataset consists of 280,839 samples, with 74 tasks, and covers 24 departments and 150 diseases.

The dataset of the study consisted of 303 patient cases, all recorded at the Department of Nuclear Medicine of Patras, in Greece.