The algorithms that power Project Big Life are statistical and machine learning algorithms developed by medical experts and researchers. Using our APIs and/or supporting references, your applications can use the same tools that our scientists use in their research. These algorithms provide your users with meaningful information about their health or the health of people in their care.
There are two ways to use our algorithms:
Mortality risk can be estimated considering the effect of:
Additional features include:
All Project Big Life algorithms are available in Predictive Modelling Mark-up Language that provides a standard way to represent data mining models, enabling implementation in different statistical application and computing environments.
Our questionnaire is developed using Lime survey, an open-source survey system. Our Lime files are available, providing further information on how we implement Project Big Life algorithms.
Validation data is available, enabling you to check whether your implementation is generating correct calculations.
Project Big Life algorithms are published in peer-reviewed medical literature. The research studies have additional information to help you to gauge whether the algorithms are helpful in different settings and for different applications.
Web appendices for these studies include additional resources such as:
See our science
(link) section and our GitHub
repository for more information.