UB Paderborn / Katalog / Suche / in CDI

1 – 17 von 17

Sortiert nach

Predictive modeling of depression and anxiety using electronic health records and a novel machine learning approach with artificial intelligence

Scientific reports, 2021-01, Vol.11 (1), p.1980-1980, Article 1980

2021

Link zum Volltext

Verfügbarkeit prüfen

Using digital phenotyping to capture depression symptom variability: detecting naturalistic variability in depression symptoms across one year using passively collected wearable movement and sleep data

Translational psychiatry, 2023-12, Vol.13 (1), p.381-381, Article 381

2023

Link zum Volltext

Verfügbarkeit prüfen

Predicting symptom response and engagement in a digital intervention among individuals with schizophrenia and related psychoses

Frontiers in psychiatry, 2022-08, Vol.13, p.807116-807116

2022

Link zum Volltext

Verfügbarkeit prüfen

Using Artificial Intelligence to Predict Change in Depression and Anxiety Symptoms in a Digital Intervention: Evidence from a Transdiagnostic Randomized Controlled Trial

Psychiatry research, 2021-01, Vol.295, p.113618-113618, Article 113618

2021

Link zum Volltext

Verfügbarkeit prüfen

A measure of local uniqueness to identify linchpins in a social network with node attributes

Applied network science, 2021-07, Vol.6 (1), p.1-14, Article 56

2021

Link zum Volltext

Verfügbarkeit prüfen

Applying ensemble machine learning models to predict individual response to a digitally delivered worry postponement intervention

Journal of affective disorders, 2023-01, Vol.320, p.201-210

2023

Link zum Volltext

Verfügbarkeit prüfen

Leveraging deep learning models to understand the daily experience of anxiety in teenagers over the course of a year

Journal of affective disorders, 2023-05, Vol.329, p.293-299

2023

Link zum Volltext

Verfügbarkeit prüfen

Predictive modeling of suicidal ideation in patients with epilepsy

Epilepsia (Copenhagen), 2022-09, Vol.63 (9), p.2269-2278

2022

Link zum Volltext

Verfügbarkeit prüfen

Evaluating change in body image concerns following a single session digital intervention

Body image, 2023-03, Vol.44, p.64-68

2023

Link zum Volltext

Verfügbarkeit prüfen

Phospho-valproic acid (MDC-1112) suppresses glioblastoma growth in preclinical models through the inhibition of STAT3 phosphorylation

Carcinogenesis (New York), 2019-12, Vol.40 (12), p.1480-1491

2019

Link zum Volltext

Verfügbarkeit prüfen

A novel tricarbonylmethane agent (CMC2.24) reduces human pancreatic tumor growth in mice by targeting Ras

Molecular carcinogenesis, 2018-09, Vol.57 (9), p.1130-1143

2018

Link zum Volltext

Verfügbarkeit prüfen

Depressive Symptoms as a Heterogeneous and Constantly Evolving Dynamical System: Idiographic Depressive Symptom Networks of Rapid Symptom Changes Among Persons With Major Depressive Disorder

Journal of psychopathology and clinical science, 2024-02, Vol.133 (2), p.155-166

2024

Link zum Volltext

Verfügbarkeit prüfen

Assessment of Imputation Methods for Missing Gene Expression Data in Meta-Analysis of Distinct Cohorts of Tuberculosis Patients

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 2020, Vol.25, p.307

2020

Link zum Volltext

Verfügbarkeit prüfen

Towards Scalable Mental Health: Leveraging Digital Tools in Combination with Computational Modeling to Aid in Treatment and Assessment of Major Depressive Disorder

Nemesure, Matthew D

2023

Link zum Volltext
ProQuest

An unsupervised machine learning approach using passive movement data to understand depression and schizophrenia

Journal of affective disorders, 2022-11, Vol.316, p.132-139

2022

Link zum Volltext

Verfügbarkeit prüfen

Discovery and fine-mapping of adiposity loci using high density imputation of genome-wide association studies in individuals of African ancestry: African Ancestry Anthropometry Genetics Consortium

PLoS genetics, 2017-04, Vol.13 (4), p.e1006719

2017

Link zum Volltext

Verfügbarkeit prüfen

Association of Selective Serotonin Reuptake Inhibitor Use With Abnormal Physical Movement Patterns as Detected Using a Piezoelectric Accelerometer and Deep Learning in a Nationally Representative Sample of Noninstitutionalized Persons in the US

JAMA network open, 2022-04, Vol.5 (4), p.e225403

2022

Link zum Volltext

Verfügbarkeit prüfen

1 – 17 von 17

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(16)
Mit Volltextzugriff
(15)

Publikationsform

Artikel
(16)
Dissertationen
(1)

Sprache

Englisch
(17)

Erscheinungsjahr

n.n

Thema

Science & Technology
(16)
Life Sciences & Biomedicine
(14)
Humans
(13)
Psychiatry
(9)
Female
(7)
Machine Learning
(6)
Clinical Neurology
(4)
Depressive Disorder, Major - Diagnosis
(4)
Digital Intervention
(4)
Male
(4)
Mental Depression
(4)
Neurosciences & Neurology
(4)
Anxiety
(3)
Artificial Intelligence
(3)
Deep Learning
(3)
Depression
(3)
Adult
(2)
Animals
(2)
Antineoplastic Agents - Pharmacology
(2)
Anxiety Disorders - Diagnosis
(2)

15 weitere anzeigen...

Weniger anzeigen...

Zeitschrift / Serie

5 weitere anzeigen...

Weniger anzeigen...

Menü

Weitere Dienste

Einstellungen

Predictive modeling of depression and anxiety using electronic health records and a novel machine learning approach with artificial intelligence

Using digital phenotyping to capture depression symptom variability: detecting naturalistic variability in depression symptoms across one year using passively collected wearable movement and sleep data

Predicting symptom response and engagement in a digital intervention among individuals with schizophrenia and related psychoses

Using Artificial Intelligence to Predict Change in Depression and Anxiety Symptoms in a Digital Intervention: Evidence from a Transdiagnostic Randomized Controlled Trial

A measure of local uniqueness to identify linchpins in a social network with node attributes

Applying ensemble machine learning models to predict individual response to a digitally delivered worry postponement intervention

Leveraging deep learning models to understand the daily experience of anxiety in teenagers over the course of a year

Predictive modeling of suicidal ideation in patients with epilepsy

Evaluating change in body image concerns following a single session digital intervention

Phospho-valproic acid (MDC-1112) suppresses glioblastoma growth in preclinical models through the inhibition of STAT3 phosphorylation

A novel tricarbonylmethane agent (CMC2.24) reduces human pancreatic tumor growth in mice by targeting Ras

Depressive Symptoms as a Heterogeneous and Constantly Evolving Dynamical System: Idiographic Depressive Symptom Networks of Rapid Symptom Changes Among Persons With Major Depressive Disorder

Assessment of Imputation Methods for Missing Gene Expression Data in Meta-Analysis of Distinct Cohorts of Tuberculosis Patients

Towards Scalable Mental Health: Leveraging Digital Tools in Combination with Computational Modeling to Aid in Treatment and Assessment of Major Depressive Disorder

An unsupervised machine learning approach using passive movement data to understand depression and schizophrenia

Discovery and fine-mapping of adiposity loci using high density imputation of genome-wide association studies in individuals of African ancestry: African Ancestry Anthropometry Genetics Consortium

Association of Selective Serotonin Reuptake Inhibitor Use With Abnormal Physical Movement Patterns as Detected Using a Piezoelectric Accelerometer and Deep Learning in a Nationally Representative Sample of Noninstitutionalized Persons in the US

Suchergebnisse filtern