Predictive analytics is one of the most promising data science techniques that can be applied in healthcare domain. The underlyig idea is to use the knowledge from EMR/EHR data sets for predictio of what will happen to a patient or a group of patients in future.
It was asked to estimate the treatment outcome for a given patient before the actual presciprtion and thus to select the most efficient treatment path.
We've successfully developed a set of rules base on various criteria, such as age, gender, previous diseases etc. helipng medical professionals provide a personalized treatment flow for each patient.
To fulfil the task, we have split all patient-level data (EMR/EHR) into separate classes based on the treatment outcome for particular diseases (positive, negative, no progress). The next step was to run an advanced machine learning algorithm over the data and to train a model that would be able to predict a treatment outcome. The given model can be used for further predictions.
Probabilistic graphical models
unsupervised sound segmentation
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.