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Damien Lekkas, Ph.D.
Damien Lekkas, Ph.D.
Incoming Research Assistant Professor, Northwestern University
Нема верификоване имејл адресе - Почетна страница
Наслов
Навело
Навело
Година
Flattening the mental health curve: COVID-19 stay-at-home orders are associated with alterations in mental health search behavior in the United States
NC Jacobson, D Lekkas, G Price, MV Heinz, M Song, AJ O’Malley, ...
JMIR mental health 7 (6), e19347, 2020
2402020
Association of COVID19-induced anosmia and ageusia with depression and suicidal ideation
E Yom-Tov, D Lekkas, NC Jacobson
Journal of affective disorders reports 5, 100156, 2021
582021
Deep learning paired with wearable passive sensing data predicts deterioration in anxiety disorder symptoms across 17–18 years
NC Jacobson, D Lekkas, R Huang, N Thomas
Journal of affective disorders 282, 104-111, 2021
582021
Cold-induced browning of inguinal white adipose tissue is independent of adipose tissue cyclooxygenase-2
GK Paschos, SY Tang, KN Theken, X Li, I Verginadis, D Lekkas, ...
Cell reports 24 (4), 809-814, 2018
432018
Predicting acute suicidal ideation on Instagram using ensemble machine learning models
D Lekkas, RJ Klein, NC Jacobson
Internet interventions 25, 100424, 2021
422021
Comparative evaluation of RNA-Seq library preparation methods for strand-specificity and low input
D Sarantopoulou, SY Tang, E Ricciotti, NF Lahens, D Lekkas, J Schug, ...
Scientific reports 9 (1), 13477, 2019
362019
The circadian clock control of adipose tissue physiology and metabolism
D Lekkas, GK Paschos
Autonomic Neuroscience 219, 66-70, 2019
302019
Using artificial intelligence and longitudinal location data to differentiate persons who develop posttraumatic stress disorder following childhood trauma
D Lekkas, NC Jacobson
Scientific reports 11 (1), 10303, 2021
282021
Investigating generalizability of speech-based suicidal ideation detection using mobile phones
A Pillai, SK Nepal, W Wang, M Nemesure, M Heinz, G Price, D Lekkas, ...
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2024
262024
Impact of online mental health screening tools on help-seeking, care receipt, and suicidal ideation and suicidal intent: Evidence from internet search behavior in a large US cohort
NC Jacobson, E Yom-Tov, D Lekkas, M Heinz, L Liu, PJ Barr
Journal of psychiatric research 145, 276-283, 2022
262022
Graphene transistor arrays functionalized with genetically engineered antibody fragments for Lyme disease diagnosis
Z Gao, P Ducos, H Ye, J Zauberman, A Sriram, X Yang, Z Wang, ...
2D Materials 7 (2), 024001, 2020
262020
Using smartphone app use and lagged-ensemble machine learning for the prediction of work fatigue and boredom
D Lekkas, GD Price, NC Jacobson
Computers in human behavior 127, 107029, 2022
242022
Depressive symptoms as a heterogeneous and constantly evolving dynamical system: Idiographic depressive symptom networks of rapid symptom changes among persons with major …
MD Nemesure, AC Collins, GD Price, TZ Griffin, A Pillai, S Nepal, ...
Journal of psychopathology and clinical science 133 (2), 155, 2024
212024
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 …
D Lekkas, JA Gyorda, GD Price, Z Wortzman, NC Jacobson
Journal of Medical Internet Research 24 (1), e32731, 2022
172022
Moodcapture: Depression detection using in-the-wild smartphone images
S Nepal, A Pillai, W Wang, T Griffin, AC Collins, M Heinz, D Lekkas, ...
Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems …, 2024
132024
The application of machine learning to online mindfulness intervention data: A primer and empirical example in compliance assessment
D Lekkas, G Price, J McFadden, NC Jacobson
Mindfulness 12, 2519-2534, 2021
122021
Depression deconstructed: wearables and passive digital phenotyping for analyzing individual symptoms
D Lekkas, JA Gyorda, GD Price, NC Jacobson
Behaviour research and therapy 168, 104382, 2023
102023
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 …
JA Gyorda, D Lekkas, G Price, NC Jacobson
Journal of Medical Internet Research 25, e40308, 2023
72023
Digitally filling the access gap in mental health care: An investigation of the association between rurality and online engagement with validated self-report screens across the …
E Yom-Tov, D Lekkas, MV Heinz, T Nguyen, PJ Barr, NC Jacobson
Journal of Psychiatric Research 157, 112-118, 2023
72023
Using passive sensor data to probe associations of social structure with changes in personality: A synthesis of network analysis and machine learning
D Lekkas, JA Gyorda, EL Moen, NC Jacobson
Plos one 17 (11), e0277516, 2022
72022
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Чланци 1–20