| 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 | 232 | 2020 |
| 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 | 47 | 2021 |
| 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 | 41 | 2018 |
| 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 | 39 | 2021 |
| 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 | 29 | 2019 |
| The circadian clock control of adipose tissue physiology and metabolism D Lekkas, GK Paschos Autonomic Neuroscience 219, 66-70, 2019 | 28 | 2019 |
| Predicting acute suicidal ideation on Instagram using ensemble machine learning models D Lekkas, RJ Klein, NC Jacobson Internet interventions 25, 100424, 2021 | 27 | 2021 |
| 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 | 21 | 2020 |
| 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 | 18 | 2022 |
| 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 | 17 | 2021 |
| 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 | 16 | 2022 |
| 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 | 12 | 2022 |
| 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 | 10 | 2021 |
| 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 | 7 | 2024 |
| 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 | 3 | 2024 |
| Profiling the digital mosaic of uncensored suicidal thought and behavior: A theory-driven network analysis of online written expression D Lekkas, JY Oh, RE Matsumura, AD Perrier, NC Jacobson PsyArXiv, 2023 | 3 | 2023 |
| 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 | 3 | 2023 |
| 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 | 3 | 2022 |
| A machine learning investigation into the temporal dynamics of physical activity‐mediated emotional regulation in adolescents with anorexia nervosa and healthy controls D Lekkas, JA Gyorda, NC Jacobson European Eating Disorders Review, 1-19, 2022 | 3 | 2022 |
| 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 | 2 | 2023 |
Nicholas C. JacobsonDartmouth CollegeVerified email at dartmouth.edu
