@inbook{cd7db98411314d3499f9bf162ef32534,
title = "Aifred Health, a Deep Learning Powered Clinical Decision Support System for Mental Health",
abstract = "Aifred Health, one of the top two teams in the first round of the IBM Watson AI XPRIZE competition, is using deep learning to solve the problem of treatment selection and prognosis prediction in mental health, starting with depression. Globally, depression affects over 300 million people and is the leading cause of disability. While a range of effective treatments do exist, patients{\textquoteright} responses to treatments vary to a large degree. Some patients spend years going through a frustrating {\textquoteleft}trial-and-error{\textquoteright} process in order to find an effective treatment. The Aifred Health solution is a deep learning-powered Clinical Decision Support System (CDSS) aimed at helping clinicians select the most effective treatment plans for depression in collaboration with their patients. In this chapter, we discuss problem of treatment selection in depression and explore the technical, clinical, and ethical dimensions of building a CDSS for mental health based on deep learning technology.",
author = "{David Benrimoh}, David and Robert Fratila and Sonia Israel and Kelly Perlman and Nykan Mirchi and Sneha Desai and Ariel Rosenfeld and Sabrina Knappe and Jason Behrmann and Colleen Rollins and You, {Raymond Penh}",
note = "NA",
year = "2018",
month = sep,
day = "28",
doi = "https://doi.org/10.1007/978-3-319-94042-7",
language = "الإنجليزيّة",
isbn = "978-3-319-94041-0",
series = "The Springer Series on Challenges in Machine Learning",
publisher = "Springer Verlag",
pages = "251--287",
editor = "Sergio Escalera and Markus Weimer",
booktitle = "The NIPS '17 Competition",
address = "ألمانيا",
}