Sold by: RRecktek
Deployed on AWS
A synthetic dataset with 25,000 oncology patient records for machine learning, includes attributes like PatientID, Age, Gender, CancerType, TreatmentRegimen, and outcomes. Designed for predictive modeling and analysis of treatment efficacy and socioeconomic impacts on care. Supports advanced algorithms for personalized medicine and optimizing cancer treatment strategies.
Overview
A synthetic dataset encompassing 25,000 oncology patient records, crafted specifically for advanced machine learning research in the field of oncology. It includes key attributes such as PatientID, Age, Gender, CancerType, TreatmentRegimen, StartOfTreatment, EndOfTreatment, ProgressionFreeSurvival, OverallSurvival, QualityOfLifeScore, AdverseEvents, ResponseToTreatment, FollowUpPeriod, and SocioeconomicFactors. This dataset is designed to support the development of machine learning models capable of predicting treatment outcomes, understanding the efficacy of different treatment regimens, and analyzing the impact of socioeconomic factors on patient care. Its structured and comprehensive nature allows for the application of sophisticated algorithms to address complex oncological questions, facilitating advancements in personalized medicine, treatment optimization, and the broader understanding of cancer patient care dynamics within a machine learning context.
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Dimension | Description | Cost/12 months |
|---|---|---|
Product Access | Dimension that grants access to the product for subscribers. | $150.00 |
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Delivery details
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Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
25k_oncology_patients | All historical revisions | All future revisions | Not included | Not included |