Predictive Analytics

One of the most future-oriented data science technologies applied in healthcare segment

Hours total

1350

Technical Stack

PCA, Linear models, Deep learning, Probabilistic graphical models, Naive bayes

Services Involved

Dedicated Team

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OVERVIEW

One of the most future-oriented data science technologies applied in healthcare segment. The fundamental idea is to use the knowledge from EMR/EHR data for prediction of what will happen to a patient or a group of patients in future.

CHALLENGE

Estimate the treatment outcome for a certain patient before the actual prescription and thus to select the most efficient treatment way.

Solution

To split all patient-level data (EMR/EHR) into separate classes based on the treatment outcome for particular diseases (positive, negative, no progress). The next stage implies running 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.

Results

Creation of a set of rules based on different data, such as age, gender, previous diseases, etc. helping medical professionals provide an individual treatment for each patient.

Recent cases

Our latest challenges where technology meets creativity

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Anomaly Detection

The technique to identify unusual patterns that do not conform to expected behavior

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Document Management Solution

Simple solutions for complex connections

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Enterprise Coaching Solution

Tool for companies looking to coach their staff in a series of business areas

Contact us

If you have a question, request or just want to meet up for coffee, call, email us or fill out the form and we will contact you asap.

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