Synthetic Breast Cancer Patient Records Dataset

Dataset Features:

• Age: Age of the patient at diagnosis (in years).
• Gender: Gender of the patient.
• Protein1, Protein2, Protein3, Protein4: Expression levels of specific proteins related to breast cancer.
• Tumour_Stage: Stage of the tumour (I, II, III).
• Histology: Type of breast carcinoma (Infiltrating Ductal Carcinoma, Infiltrating Lobular Carcinoma, Mucinous Carcinoma).
• ER status: Estrogen Receptor status (Positive/Negative).
• PR status: Progesterone Receptor status (Positive/Negative).
• HER2 status: Human Epidermal Growth Factor Receptor 2 (HER2) status (Positive/Negative).
• Surgery_type: Type of surgery performed (Lumpectomy, Simple Mastectomy, Modified Radical Mastectomy, Other).
• Date_of_Surgery: Date on which surgery was performed (in DD-MON-YY format).
• Date_of_Last_Visit: Date of the last visit (in DD-MON-YY format, can be null if the patient did not visit again after surgery).
• Patient_Status: Patient's status post-surgery (Alive/Dead).

Usage:

• Breast Cancer Research: To explore trends and patterns in treatment outcomes, recurrence rates, and other health-related metrics specific to breast cancer.
• Educational Training: To teach data cleaning, transformation, and visualization techniques specific to healthcare data, particularly in oncology.
• Predictive Modeling: To develop models that predict patient outcomes based on various factors such as age, tumor stage, and receptor status.

Coverage:

License:

Who can use it:

• Researchers and Educators: For studies or teaching purposes in breast cancer analytics and data science.
• Data Science Enthusiasts: For learning, practising, and applying healthcare data manipulation and analysis techniques in the field of oncology.