Lekkas D - Search Results

1

Detecting Longitudinal Trends between Passively Collected Phone Use and Anxiety among College Students.

Gyorda JA, Lekkas D, Jacobson NC. Gyorda JA, et al. Among authors: lekkas d. Digit Biomark. 2024 Sep 5;8(1):181-193. doi: 10.1159/000540546. eCollection 2024 Jan-Dec. Digit Biomark. 2024. PMID: 39473805 Free PMC article.

2

Deep learning paired with wearable passive sensing data predicts deterioration in anxiety disorder symptoms across 17-18 years.

Jacobson NC, Lekkas D, Huang R, Thomas N. Jacobson NC, et al. Among authors: lekkas d. J Affect Disord. 2021 Mar 1;282:104-111. doi: 10.1016/j.jad.2020.12.086. Epub 2020 Dec 27. J Affect Disord. 2021. PMID: 33401123 Free PMC article.

3

Using artificial intelligence and longitudinal location data to differentiate persons who develop posttraumatic stress disorder following childhood trauma.

Lekkas D, Jacobson NC. Lekkas D, et al. Sci Rep. 2021 May 13;11(1):10303. doi: 10.1038/s41598-021-89768-2. Sci Rep. 2021. PMID: 33986445 Free PMC article.

4

Association of COVID19-induced anosmia and ageusia with depression and suicidal ideation.

Yom-Tov E, Lekkas D, Jacobson NC. Yom-Tov E, et al. Among authors: lekkas d. J Affect Disord Rep. 2021 Jul;5:100156. doi: 10.1016/j.jadr.2021.100156. Epub 2021 May 27. J Affect Disord Rep. 2021. PMID: 34075369 Free PMC article.

5

Predicting acute suicidal ideation on Instagram using ensemble machine learning models.

Lekkas D, Klein RJ, Jacobson NC. Lekkas D, et al. Internet Interv. 2021 Jul 6;25:100424. doi: 10.1016/j.invent.2021.100424. eCollection 2021 Sep. Internet Interv. 2021. PMID: 34401383 Free PMC article.

6

Using Smartphone App Use and Lagged-Ensemble Machine Learning for the Prediction of Work Fatigue and Boredom.

Lekkas D, Price GD, Jacobson NC. Lekkas D, et al. Comput Human Behav. 2022 Feb;127:107029. doi: 10.1016/j.chb.2021.107029. Epub 2021 Sep 24. Comput Human Behav. 2022. PMID: 34776600 Free PMC article.

7

Using the COVID-19 Pandemic to Assess the Influence of News Affect on Online Mental Health-Related Search Behavior Across the United States: Integrated Sentiment Analysis and the Circumplex Model of Affect.

Lekkas D, Gyorda JA, Price GD, Wortzman Z, Jacobson NC. Lekkas D, et al. J Med Internet Res. 2022 Jan 27;24(1):e32731. doi: 10.2196/32731. J Med Internet Res. 2022. PMID: 34932494 Free PMC article.

8

A machine learning investigation into the temporal dynamics of physical activity-mediated emotional regulation in adolescents with anorexia nervosa and healthy controls.

Lekkas D, Gyorda JA, Jacobson NC. Lekkas D, et al. Eur Eat Disord Rev. 2023 Jan;31(1):147-165. doi: 10.1002/erv.2949. Epub 2022 Aug 25. Eur Eat Disord Rev. 2023. PMID: 36005065 Free PMC article.

9

Using passive sensor data to probe associations of social structure with changes in personality: A synthesis of network analysis and machine learning.

Lekkas D, Gyorda JA, Moen EL, Jacobson NC. Lekkas D, et al. PLoS One. 2022 Nov 30;17(11):e0277516. doi: 10.1371/journal.pone.0277516. eCollection 2022. PLoS One. 2022. PMID: 36449466 Free PMC article.

10

Evaluating the Impact of Mask Mandates and Political Party Affiliation on Mental Health Internet Search Behavior in the United States During the COVID-19 Pandemic: Generalized Additive Mixed Model Framework.

Gyorda JA, Lekkas D, Price G, Jacobson NC. Gyorda JA, et al. Among authors: lekkas d. J Med Internet Res. 2023 Mar 3;25:e40308. doi: 10.2196/40308. J Med Internet Res. 2023. PMID: 36735836 Free PMC article.

Save citations to file

Email citations

Send citations to clipboard

Add to Collections

Add to My Bibliography

Create a file for external citation management software

Your saved search

Your RSS Feed

My Custom Filters

Publication date

Text availability

Article attribute

Article type

Article Language

Species

Sex

Age

Other

70 results

Search Page

Filters