Jonas Busk

Kongens Lyngby, Denmark

Last Updated: 09/26/2026

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Found 24 publications

Mood instability in patients with unipolar depression measured using smartphones and the association with measures of wellbeing, recovery and functioning.

Mood instability in patients with unipolar depression measured using smartphones and the association with measures of wellbeing, recovery and functioning.

Journal: Nordic journal of psychiatry

Published: June 21, 2024

Using digital phenotyping to classify bipolar disorder and unipolar disorder - exploratory findings using machine learning models.

Using digital phenotyping to classify bipolar disorder and unipolar disorder - exploratory findings using machine learning models.

Journal: European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology

Published: January 08, 2024

Mood, Activity, and Instability in Bipolar Disorder and Unipolar Disorder-An Exploratory Post Hoc Study Using Digital Data.

Mood, Activity, and Instability in Bipolar Disorder and Unipolar Disorder-An Exploratory Post Hoc Study Using Digital Data.

Journal: Acta psychiatrica Scandinavica

Published: October 30, 2023

Graph neural network interatomic potential ensembles with calibrated aleatoric and epistemic uncertainty on energy and forces.

Graph neural network interatomic potential ensembles with calibrated aleatoric and epistemic uncertainty on energy and forces.

Journal: Physical chemistry chemical physics : PCCP

Published: September 19, 2023

The effect of smartphone-based monitoring and treatment including clinical feedback versus smartphone-based monitoring without clinical feedback in bipolar disorder: the SmartBipolar trial-a study protocol for a randomized controlled parallel-group trial.

The effect of smartphone-based monitoring and treatment including clinical feedback versus smartphone-based monitoring without clinical feedback in bipolar disorder: the SmartBipolar trial-a study protocol for a randomized controlled parallel-group trial.

Journal: Trials

Published: July 03, 2023

Irritability in bipolar disorder and unipolar disorder measured daily using smartphone-based data: An exploratory post hoc study.

Irritability in bipolar disorder and unipolar disorder measured daily using smartphone-based data: An exploratory post hoc study.

Journal: Acta psychiatrica Scandinavica

Published: February 13, 2023

Mood instability and activity/energy instability in patients with bipolar disorder according to day-to-day smartphone-based data - An exploratory post hoc study.

Mood instability and activity/energy instability in patients with bipolar disorder according to day-to-day smartphone-based data - An exploratory post hoc study.

Journal: Journal of affective disorders

Published: December 05, 2022

Transition1x - a dataset for building generalizable reactive machine learning potentials.

Transition1x - a dataset for building generalizable reactive machine learning potentials.

Journal: Scientific data

Published: September 23, 2022

Cheap Turns Superior: A Linear Regression-Based Correction Method to Reaction Energy from the DFT.

Cheap Turns Superior: A Linear Regression-Based Correction Method to Reaction Energy from the DFT.

Journal: Journal of chemical information and modeling

Published: September 16, 2022

Differences in mobility patterns according to machine learning models in patients with bipolar disorder and patients with unipolar disorder.

Differences in mobility patterns according to machine learning models in patients with bipolar disorder and patients with unipolar disorder.

Journal: Journal of affective disorders

Published: November 12, 2021

Voice analyses using smartphone-based data in patients with bipolar disorder, unaffected relatives and healthy control individuals, and during different affective states.

Voice analyses using smartphone-based data in patients with bipolar disorder, unaffected relatives and healthy control individuals, and during different affective states.

Journal: International journal of bipolar disorders

Published: September 13, 2021

Discriminating between patients with unipolar disorder, bipolar disorder, and healthy control individuals based on voice features collected from naturalistic smartphone calls.

Discriminating between patients with unipolar disorder, bipolar disorder, and healthy control individuals based on voice features collected from naturalistic smartphone calls.

Journal: Acta psychiatrica Scandinavica

Published: June 29, 2021

Showing 1-12 of 24

Last Updated: 09/26/2026