KUMC - sporedata/researchdesigneR GitHub Wiki
General description
The KUMC (Kansas University Medical Center) dataset is part of a broad health data resource that contains a wide range of patient health information collected from the university's medical facilities. It is often utilized in various clinical research studies, particularly those involving patient health outcomes, disease progression, and treatment efficacy.
The KUMC dataset is a powerful resource for medical research, providing a rich source of patient data for studies ranging from clinical outcomes to AI-driven healthcare innovations. Its longitudinal nature and inclusion of various health data types make it particularly useful for advanced research methodologies like target trial emulation and personalized medicine research.
Data Categories
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Biobank Data: KUMC also has a biobank component, which might include genetic data and biological samples linked to the patients in the dataset.
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Clinical Trials Data: Information related to patients participating in clinical trials, including recruitment, trial outcomes, and longitudinal follow-ups.
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Medical Imaging Data: For some conditions, the dataset may include imaging data like X-rays, MRIs, and CT scans, allowing for more advanced studies in diagnostic tools and disease progression.
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Electronic Health Records (EHRs): KUMC’s dataset contains a vast collection of anonymized EHRs from patients, which include demographic details, medical diagnoses, medications, lab results, procedures, and hospital visits.
Related publications
- A comparative study on polyp classification using convolutional neural networks
- Colonoscopy polyp detection and classification: dataset creation and comparative evaluations
- Replication data for: colonoscopy polyp detection and classification: dataset creation and comparative evaluations