Predicting life expectancy with a long short-term memory recurrent neural network using electronic medical records

Predicting life expectancy with a long short-term memory recurrent neural network using electronic medical records

Abstract Background Life expectancy is one of the most important factors in end-of-life decision making. Good prognostication for example helps to determine the course of treatment and helps to anticipate the procurement of health care services and facilities, or more broadly: facilitates Advance Ca...

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Bibliographic Details
Main Authors: Merijn Beeksma, Suzan Verberne, Antal van den Bosch, Enny Das, Iris Hendrickx, Stef Groenewoud
Format: Article
Language:English
Published: BMC 2019-02-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Life expectancy prediction
Advance care planning
Long short-term memory
Clinical free-text
Online Access:http://link.springer.com/article/10.1186/s12911-019-0775-2

Internet

http://link.springer.com/article/10.1186/s12911-019-0775-2

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