TERMINET eHealth post-operation complications synthetic dataset
Older adults with cancer often need to undergo operations. Post-surgery complications may arise, and Real-World Data (RWD) collected from such patients during a pre-operation monitoring period of two weeks can help identify risk for post-surgery complications. The involved RWD span behavioral data (measured or reported) as well as clinical data (collected during clinical tests). This dataset is synthesized by Innovation Sprint, using actual data collected from eligible Fondazione Policlinico Gemelli patients participating to the SUPERO study. The clinical data is collected by the hospital, while the behavioral is collected using Healthentia, a medical decision support software developed by Innovation Sprint, facilitating the collection, analysis and presentation of behavioral data.
The provided TERMINET eHealth post-operation complications synthetic dataset contains 10,000 synthetic patients, provided in an equal number of rows in the CSV file containing the dataset. The different attributes of the dataset are organized in columns.
The attributes are summarized as follows:
- 6 columns of step data statistics
- 20 columns of clinical attributes
- 2 columns of demographics attributes
- 12 columns of questionnaire attributes
- 1 column of outcome attribute