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Adam Chekroud
Adam Chekroud
Assistant Professor of Psychiatry, Yale University
在 yale.edu 的电子邮件经过验证 - 首页
标题
引用次数
年份
Illusory generalizability of clinical prediction models
AM Chekroud, M Hawrilenko, H Loho, J Bondar, R Gueorguieva, A Hasan, ...
Science 383 (6679), 164-167, 2024
342024
Assessing the impact of a comprehensive mental health program on frontline health service workers
EJ Ward, MS Fragala, CE Birse, M Hawrilenko, C Smolka, G Ambwani, ...
Plos one 18 (11), e0294414, 2023
2023
Broadening the Use of Machine Learning in Psychiatry
BD Adkinson, AM Chekroud
Biological Psychiatry 93 (1), 4-5, 2023
2023
Personalized symptom clusters that predict depression treatment outcomes: A replication of machine learning methods
Y Chen, JW Stewart, J Ge, B Cheng, A Chekroud, DJ Hellerstein
Journal of Affective Disorders Reports 11, 100470, 2023
52023
Clinical and Financial Outcomes Associated With a Workplace Mental Health Program Before and During the COVID-19 Pandemic
J Bondar, CB Morrow, R Gueorguieva, M Brown, M Hawrilenko, ...
JAMA Network Open 5 (6), e2216349-e2216349, 2022
182022
Trends in inpatient care for psychiatric disorders in NHS hospitals across England, 1998/99–2019/20: an observational time series analysis
M Degli Esposti, H Ziauddeen, L Bowes, A Reeves, AM Chekroud, ...
Social psychiatry and psychiatric epidemiology 57 (5), 993-1006, 2022
112022
Evaluating medical providers
A Chekroud, K Medeiros, K Quick
US Patent App. 17/389,702, 2022
2022
Parsing the antidepressant effects of non-invasive brain stimulation and pharmacotherapy: A symptom clustering approach on ELECT-TDCS
SA Goerigk, F Padberg, A Chekroud, J Kambeitz, M Bühner, AR Brunoni
Brain Stimulation 14 (4), 906-912, 2021
92021
The promise of machine learning in predicting treatment outcomes in psychiatry
AM Chekroud, J Bondar, J Delgadillo, G Doherty, A Wasil, M Fokkema, ...
World Psychiatry 20 (2), 154-170, 2021
2702021
Convergent molecular, cellular, and cortical neuroimaging signatures of major depressive disorder
KM Anderson, MA Collins, R Kong, K Fang, J Li, T He, AM Chekroud, ...
Proceedings of the National Academy of Sciences 117 (40), 25138-25149, 2020
1162020
Realizing the clinical potential of computational psychiatry: report from the Banbury Center Meeting, February 2019
M Browning, CS Carter, C Chatham, H Den Ouden, CM Gillan, JT Baker, ...
Biological Psychiatry 88 (2), e5-e10, 2020
502020
Methods and apparatus for predicting depression treatment outcomes
A Chekroud, JH Krystal, R Gueorguieva, A Chandra
US Patent App. 16/305,468, 2020
702020
Symptom clusters in adolescent depression and differential response to treatment: a secondary analysis of the Treatment for Adolescents with Depression Study randomised trial
J Bondar, A Caye, AM Chekroud, C Kieling
The Lancet Psychiatry 7 (4), 337-343, 2020
472020
Precision non-implantable neuromodulation therapies: a perspective for the depressed brain
L Borrione, H Bellini, LB Razza, AG Avila, C Baeken, AK Brem, G Busatto, ...
Brazilian Journal of Psychiatry 42, 403-419, 2020
312020
Convergent molecular, cellular, and neural signatures of major depressive disorder
KM Anderson, MA Collins, R Kong, K Fang, J Li, T He, AM Chekroud, ...
bioRxiv, 2020.02. 10.942227, 2020
72020
How founding a company compares to graduate school
A Chekroud
Nature, 2020
2020
The Opportunity for Exercise to Improve Population Mental Health
AM Chekroud, A Trugerman
JAMA psychiatry 76 (11), 1206-1207, 2019
152019
Altered functional connectivity and low-frequency signal fluctuations in early psychosis and genetic high risk
Y Tang, Q Zhou, M Chang, A Chekroud, R Gueorguieva, X Jiang, Y Zhou, ...
Schizophrenia research 210, 172-179, 2019
162019
Machine learning and big data in psychiatry: toward clinical applications
RB Rutledge, AM Chekroud, QJM Huys
Current opinion in neurobiology 55, 152-159, 2019
1642019
A Mendelian Randomization Approach for Assessing the Relationship Between Physical Activity and Depression
AM Chekroud
JAMA psychiatry 76 (4), 361-362, 2019
72019
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