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Chapter 16 - An Overview of Machine Learning Applications in Mood Disorders

from Section 4 - Novel Approaches in Brain Imaging

Published online by Cambridge University Press:  12 January 2021

By
Natasha Topolski ,
Su Hyun Jeong  and
Benson Mwangi
Edited by
Sudhakar Selvaraj ,
Paolo Brambilla  and
Jair C. Soares
Sudhakar Selvaraj
Affiliation:
UTHealth School of Medicine, USA
Paolo Brambilla
Affiliation:
Università degli Studi di Milano
Jair C. Soares
Affiliation:
UT Harris County Psychiatric Center, USA
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Summary

Advances in our understanding of the human body and technology have revolutionized modern medicine, allowing us to easily treat many conditions that were once considered a death sentence. The use of an improved understanding of biological processes and the development of disease biomarkers has led to the growth of “precision medicine” – which enables the ability to produce more objective diagnoses through individualized treatments that are more efficient and effective. The core concept of integrating precision medicine into the diagnosis and treatment of disease is now a commonplace and growing in many areas of medicine, notably the use of genomics in oncology.

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Chapter
Information
Mood Disorders
Brain Imaging and Therapeutic Implications
 , pp. 206 - 218
Publisher: Cambridge University Press
Print publication year: 2021

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