Predictive modelling is a process that uses data mining and probability to forecast outcomes. Each model is made up of a number of predictors, which are variables that are likely to influence future results. Once data has been collected for relevant predictors, a statistical model is formulated.
We got order to predict the risk of a disease progression (e.g relapse, protracted clinical course) for patients with lung cancer and lymphoma.
Required cohorts were defined after transforming raw data to CDM model. Based on it, we provided stable statistical models to the customer, which predicted outcomes, using data collected for patient during "time at risk" window.
Our team developed universal step-by-step method, that included:
Big Data Science
Relational Data Bases
Hi, we are Sciforce - a company where the integration of various branches of science builds up a powerful force to create robust software solutions. Working at the intersection of Computer Science with other technical, natural and humanitarian sciences let us go beyond traditional IT services and become both technical and scientific forces to our customers.