Daniel J. Müller, MD, PhD

  • 4Articles
  • 28.1KReads1
  • 2019–2023Active
  • 45Collaborators
  • 125Citations2

About

Daniel J. Müller, MD, PhD, is affiliated with the Department of Psychiatry at the University of Toronto and the Centre for Addiction and Mental Health in Toronto, Canada. His publications from 2019 to 2023 focus on major depressive disorder and suicide, investigating topics such as antidepressant treatment response, symptom dimensions indicating medication augmentation, prediction of suicidal ideation worsening, and early prediction of treatment outcomes. His work frequently involves machine learning approaches and clinical and molecular predictors in depression treatment.

Publications

JCP
Machine Learning Prediction of Quality of Life Improvement During Antidepressant Treatment of Patients With Major Depressive Disorder: A STAR*D and CAN-BIND-1 Report
Original Research

Machine Learning Prediction of Quality of Life Improvement During Antidepressant Treatment of Patients With Major Depressive Disorder: A STAR*D and CAN-BIND-1 Report

November 15, 2023

Quality of life is an important patient-centric outcome. Using machine learning methods, this study found that quality of life improvement with antidepressant treatment can be predicted using early depression...
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JCP
Original Research

Interest-Activity Levels and Need for AD Augmentation in MDD

June 16, 2020

Depressed people who have lost interest and are inactive may not respond well to antidepressants. This study examined whether depressed subjects with low interest and activity who responded poorly...
, , , et al
JCP
Original Research

Worsening of Suicidal Ideation During AD Treatment

May 7, 2019

Antidepressants are effective in preventing suicide, but some antidepressant-treated patients experience increased suicidal ideation. Read this article to learn if clinical features and biomarkers can predict worsened suicidal ideation...
, , , et al
JCP
Original Research

CAN-BIND-1 Outcomes and Early Response Prediction in MDD

February 5, 2019

Antidepressant medications are often prescribed with little certainty about their potential effectiveness in individual patients. Can early symptom reduction help predict later symptomatic and functional outcomes of antidepressant treatment?...
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1 Read counts for articles published before 2020 may include some non-human traffic.

2 Citation counts provided by Crossref.

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