☆ 4.6 Article

A Novel Approach to Clustering Accelerometer Data for Application in Passive Predictions of Changes in Depression Severity

SENSORS (2023)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Psychology, Clinical

Real-time monitoring of increases in restlessness to assess idiographic risk of recurrence of depressive symptoms

Arnout C. Smit et al.

Summary: This study used personalized modeling to predict recurrence of depressive symptoms based on the increase in restlessness. The results showed that an increase in restlessness was a common prodromal symptom of depression, and it could be detected at least a month before the onset of core symptoms. The sensitivity and specificity of this method were at least as good as traditional prognostic models based on patient characteristics. This personalized approach provides real-time insight into early signs of depression, allowing for timely intervention.

PSYCHOLOGICAL MEDICINE (2023)

添加到收藏夹

Article Health Care Sciences & Services

Smartphone accelerometer data as a proxy for clinical data in modeling of bipolar disorder symptom trajectory

Casey C. C. Bennett et al.

Summary: By analyzing smartphone accelerometer data, this study found that it can improve the predictive performance of models for bipolar disorder, complementing traditional clinical data and typing dynamics. This suggests that the same information about bipolar disorder can be obtained through different data sources in various settings.

NPJ DIGITAL MEDICINE (2022)

添加到收藏夹

Article Computer Science, Information Systems

Predicting clinically relevant changes in bipolar disorder outside the clinic walls based on pervasive technology interactions via smartphone typing dynamics

Casey C. Bennett et al.

Summary: This study investigates the feasibility of using smartphone keyboard dynamics as the foundation of an early warning system for mood instability. The analysis of a real-world open-science dataset reveals that the system has a predictive accuracy of around 90% and identifies interesting features for future research.

PERVASIVE AND MOBILE COMPUTING (2022)

添加到收藏夹

Article Psychiatry

The Effects of Bipolar Disorder Risk on a Mobile Phone Keystroke Dynamics Based Biomarker of Brain Age

John Zulueta et al.

Summary: The study demonstrates the potential of using smartphone data to predict age, with lower age prediction errors for participants screening positive for bipolar disorder. This suggests a possible association between bipolar disorder, brain changes, and pathological aging.

FRONTIERS IN PSYCHIATRY (2021)

添加到收藏夹

Review Health Care Sciences & Services

Wearable, Environmental, and Smartphone-Based Passive Sensing for Mental Health Monitoring

Mahsa Sheikh et al.

Summary: Collecting and analyzing data from sensors embedded in daily life can help monitor mental health conditions. Utilizing a variety of sensors to capture physiological and behavioral data, and translating them into features related to mental health through machine learning, can help identify underlying psychiatric disorders.

FRONTIERS IN DIGITAL HEALTH (2021)

添加到收藏夹

Review Pharmacology & Pharmacy

mHealth in affective disorders: hype or hope? A focused narrative review

Diego Hidalgo-Mazzei et al.

INTERNATIONAL CLINICAL PSYCHOPHARMACOLOGY (2020)

添加到收藏夹

Article Biochemical Research Methods

SciPy 1.0: fundamental algorithms for scientific computing in Python

Pauli Virtanen et al.

NATURE METHODS (2020)

添加到收藏夹

Article Computer Science, Information Systems

Effects of mood and aging on keystroke dynamics metadata and their diurnal patterns in a large open-science sample: A BiAffect iOS study

Claudia Vesel et al.

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2020)

添加到收藏夹

Review Multidisciplinary Sciences

Array programming with NumPy

Charles R. Harris et al.

NATURE (2020)

添加到收藏夹

Article Medicine, General & Internal

Bipolar disorders

Roger S McIntyre et al.

LANCET (2020)

添加到收藏夹

Article Biochemistry & Molecular Biology

Digital solutions for shaping mood and behavior among individuals with mood disorders

Amanda Victory et al.

CURRENT OPINION IN SYSTEMS BIOLOGY (2020)

添加到收藏夹

Article Health Care Sciences & Services

Mood Prediction of Patients With Mood Disorders by Machine Learning Using Passive Digital Phenotypes Based on the Circadian Rhythm: Prospective Observational Cohort Study

Chul-Hyun Cho et al.

JOURNAL OF MEDICAL INTERNET RESEARCH (2019)

添加到收藏夹

Review Computer Science, Information Systems

Passive data collection and use in healthcare: A systematic review of ethical issues

Nicole A. Maher et al.

INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS (2019)

添加到收藏夹

Article Multidisciplinary Sciences

Touchscreen typing pattern analysis for remote detection of the depressive tendency

Rafail-Evangelos Mastoras et al.

SCIENTIFIC REPORTS (2019)

添加到收藏夹

Editorial Material Psychiatry

Psychiatry foretold

Diego Hidalgo-Mazzei et al.

AUSTRALIAN AND NEW ZEALAND JOURNAL OF PSYCHIATRY (2019)

添加到收藏夹

Article Psychology, Clinical

The cross-national structure of mental disorders: results from the World Mental Health Surveys

Peter de Jonge et al.

PSYCHOLOGICAL MEDICINE (2018)

添加到收藏夹

Editorial Material Clinical Neurology

Let your fingers do the talking: Passive typing instability predicts future mood outcomes

Jonathan P. Stange et al.

BIPOLAR DISORDERS (2018)

添加到收藏夹

Editorial Material Psychiatry

Digital phenotyping: a global tool for psychiatry

Thomas R. Insel

WORLD PSYCHIATRY (2018)

添加到收藏夹

Review Biophysics

A review of physiological and behavioral monitoring with digital sensors for neuropsychiatric illnesses

Erik Reinertsen et al.

PHYSIOLOGICAL MEASUREMENT (2018)

添加到收藏夹

Article Psychiatry

Behavioural biomarkers and mobile mental health: a new paradigm

Diego Hidalgo-Mazzei et al.

INTERNATIONAL JOURNAL OF BIPOLAR DISORDERS (2018)

添加到收藏夹

Review Clinical Neurology

Physical activity and sedentary behavior in people with major depressive disorder: A systematic review and meta-analysis

Felipe Schuch et al.

JOURNAL OF AFFECTIVE DISORDERS (2017)

添加到收藏夹

Review Psychiatry

Sedentary behavior and physical activity levels in people with schizophrenia, bipolar disorder and major depressive disorder: a global systematic review and meta-analysis

Davy Vancampfort et al.

WORLD PSYCHIATRY (2017)

添加到收藏夹

Proceedings Paper Computer Science, Artificial Intelligence

DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection

Bokai Cao et al.

KDD'17: PROCEEDINGS OF THE 23RD ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (2017)

添加到收藏夹

Article Multidisciplinary Sciences

The relationship between mobile phone location sensor data and depressive symptom severity

Sohrab Saeb et al.

PEERJ (2016)

添加到收藏夹

Article Psychiatry

Using Smartphones to Monitor Bipolar Disorder Symptoms: A Pilot Study

Till Beiwinkel et al.

JMIR MENTAL HEALTH (2016)

添加到收藏夹

Article Psychiatry

Circadian rhythms and mood disorders: are the phenomena and mechanisms causally related?

William Bechtel

FRONTIERS IN PSYCHIATRY (2015)

添加到收藏夹

Proceedings Paper Computer Science, Theory & Methods

Trajectories of Depression: Unobtrusive Monitoring of Depressive States by means of Smartphone Mobility Traces Analysis

Luca Canzian et al.

PROCEEDINGS OF THE 2015 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING (UBICOMP 2015) (2015)

添加到收藏夹

Review Computer Science, Information Systems

A review of microarray datasets and applied feature selection methods

V. Bolon-Canedo et al.

INFORMATION SCIENCES (2014)

添加到收藏夹

Article Clinical Neurology

Clinical parameters of circadian rhythms in affective disorders

Jan Scott

EUROPEAN NEUROPSYCHOPHARMACOLOGY (2011)

添加到收藏夹

Article Psychology, Clinical

Predictors and moderators of time to remission of major depression with interpersonal psychotherapy and SSRI pharmacotherapy

E. Frank et al.

PSYCHOLOGICAL MEDICINE (2011)

添加到收藏夹

Article Psychology, Experimental

Retrospective recall of affect in clinically depressed individuals and controls

Dror Ben-Zeev et al.

COGNITION & EMOTION (2009)

添加到收藏夹

Review Clinical Neurology

Sleep in Mood Disorders

Michael J. Peterson et al.

SLEEP MEDICINE CLINICS (2008)

添加到收藏夹

Article Psychology, Experimental

Diurnal mood variation in major depressive disorder

Frenk Peeters et al.

EMOTION (2006)

添加到收藏夹

Article Health Care Sciences & Services

Monitoring depression treatment outcomes with the patient health questionnaire-9

B Löwe et al.

MEDICAL CARE (2004)

添加到收藏夹

Article Psychiatry

The PHQ-9: A new depression diagnostic and severity measure

K Kroenke et al.

PSYCHIATRIC ANNALS (2002)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.