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Breast Cancer Survival Prediction Using Machine Learning

The dataset contains information on over 400 breast cancer patients who underwent surgery for the treatment of breast cancer. Below is the information for all columns in the dataset:

  • Patient_ID: ID of the patient
  • Age: Age of the patient
  • Gender: Gender of the patient
  • Protein 1, Protein 2, Protein 3, and Protein 4: expression levels
  • Tumor_Stage: breast cancer stage of the patient
  • Histology: Infiltrating Ductal Carcinoma, Infiltration Lobular Carcinoma, Mucinous Carcinoma
  • ER status: positive or negative
  • PR status: Positive/Negative
  • HER2 status: positive or negative
  • Surgery_type: Lumpectomy, Simple Mastectomy, Modified Radical Mastectomy, Other
  • DateofSurgery: The date of surgery
  • DateofLast_Visit: The date of the last visit of the patient.
  • Patient_Status: Alive/Dead

Task

To predict whether a breast cancer patient will survive or not after the surgery.

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