MIDS Capstone Project Spring 2019

Multiple Myeloma Clinical Calculator

Multiple Myeloma is an incurable blood cancer that affects the plasma cells in bone marrow. Our team has built a nomogram (clinical calculator) which allows patients to get various predictive insights at baseline and a dashboard which enables patients to view similar patients journey with Myeloma. Nomogram predicts the chances of a patient responding to the best line of treatment given at baseline and probability of disease relapsing over 5 years. 

Our team has used a open dataset from Multiple Myeloma Research Foundation (MMRF), a charitable organization dedicated to multiple myeloma, which has information about 1143 patients characteristics measured over time. This dataset had information about patients' clinical visits, demographics, disease characteristics, chromosome abnormalities, treatment regimen, treatment response and survival details. We have leveraged patients' data at baseline for building this calculator

Our mission was to build a tool which allows patients to have more control over their lives - by reducing uncertainity about the future, help them plan their lives better and increase awareness about the disease. Our unique value is that there is no tool that exists today which provides such predicitve insights for Myeloma patients. We plan to continue working on this application in the future and improve the predictive power of our model by testing with larger datasets and advanced machine learning algorithms. 

Tools Used:

  • Python (Pandas, Scikit-learn, Stats Models API)
  • Microsoft Power BI, Angular JS, Firebase, Google Cloud Platform

Last updated:

October 1, 2019