This advanced Artificial Intelligence will be able to predict death day of patients

A Stanford University research team applied machine learning technology to health records, in order to help hospitals and hospices give better end-of-life care to the terminally ill. Researchers examined Electronic Health Record (EHR) data from Stanford Hospital and Lucile Packard Children's hospital. The data, which covered health history for around two million child and adult patients, was used to train a "neural network" that is now able to predict the mortality of people with serious or terminal illnesses. The idea is that by telling hospitals and hospices when patients are likely to die, end-of-life care can be prioritised in a more intelligent way. "We demonstrate that routinely collected EHR [electronic health record] data can be used to create a system that prioritises patients for follow up for palliative care," the Stanford researchers explain.