
OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Predictive analytics in mental health: applications, guidelines, challenges and perspectives
Tim Hahn, Andrew A. Nierenberg, Susan Whitfield‐Gabrieli
Molecular Psychiatry (2016) Vol. 22, Iss. 1, pp. 37-43
Closed Access | Times Cited: 115
Tim Hahn, Andrew A. Nierenberg, Susan Whitfield‐Gabrieli
Molecular Psychiatry (2016) Vol. 22, Iss. 1, pp. 37-43
Closed Access | Times Cited: 115
Showing 51-75 of 115 citing articles:
Intelligent Sensing to Inform and Learn (InSTIL): A Scalable and Governance-Aware Platform for Universal, Smartphone-Based Digital Phenotyping for Research and Clinical Applications
Scott Barnett, Kit Huckvale, Helen Christensen, et al.
Journal of Medical Internet Research (2019) Vol. 21, Iss. 11, pp. e16399-e16399
Open Access | Times Cited: 24
Scott Barnett, Kit Huckvale, Helen Christensen, et al.
Journal of Medical Internet Research (2019) Vol. 21, Iss. 11, pp. e16399-e16399
Open Access | Times Cited: 24
Current challenges and possible future developments in personalized psychiatry with an emphasis on psychotic disorders
Аnastasia Levchenko, Timur Nurgaliev, Alexander Kanapin, et al.
Heliyon (2020) Vol. 6, Iss. 5, pp. e03990-e03990
Open Access | Times Cited: 22
Аnastasia Levchenko, Timur Nurgaliev, Alexander Kanapin, et al.
Heliyon (2020) Vol. 6, Iss. 5, pp. e03990-e03990
Open Access | Times Cited: 22
Predictive Utility of Irritability “In Context”: Proof-of-Principle for an Early Childhood Mental Health Risk Calculator
Lauren S. Wakschlag, Leigha A. MacNeill, Lindsay R. Pool, et al.
Journal of Clinical Child & Adolescent Psychology (2023) Vol. 53, Iss. 2, pp. 231-245
Closed Access | Times Cited: 8
Lauren S. Wakschlag, Leigha A. MacNeill, Lindsay R. Pool, et al.
Journal of Clinical Child & Adolescent Psychology (2023) Vol. 53, Iss. 2, pp. 231-245
Closed Access | Times Cited: 8
Global Health and Visa Policy Reform to Address Dangers of Hajj during Summer Seasons
Mohanad Aleeban, Tim K. Mackey
Frontiers in Public Health (2016) Vol. 4
Open Access | Times Cited: 21
Mohanad Aleeban, Tim K. Mackey
Frontiers in Public Health (2016) Vol. 4
Open Access | Times Cited: 21
Prediction of psychosis: model development and internal validation of a personalized risk calculator
Tae Young Lee, Wu Jeong Hwang, Nahrie S. Kim, et al.
Psychological Medicine (2020) Vol. 52, Iss. 13, pp. 2632-2640
Open Access | Times Cited: 20
Tae Young Lee, Wu Jeong Hwang, Nahrie S. Kim, et al.
Psychological Medicine (2020) Vol. 52, Iss. 13, pp. 2632-2640
Open Access | Times Cited: 20
Data sharing in the age of predictive psychiatry: an adolescent perspective
Gabriela Pavarini, Aleksandra Yosifova, Keying Wang, et al.
Evidence-Based Mental Health (2022) Vol. 25, Iss. 2, pp. 69-76
Open Access | Times Cited: 12
Gabriela Pavarini, Aleksandra Yosifova, Keying Wang, et al.
Evidence-Based Mental Health (2022) Vol. 25, Iss. 2, pp. 69-76
Open Access | Times Cited: 12
Exploring the Societal Implications of Digital Mental Health Technologies: A Critical Review
Olivia A. Stein, Audrey Prost
SSM - Mental Health (2024) Vol. 6, pp. 100373-100373
Open Access | Times Cited: 2
Olivia A. Stein, Audrey Prost
SSM - Mental Health (2024) Vol. 6, pp. 100373-100373
Open Access | Times Cited: 2
Enhancing Mental Health Condition Detection on Social Media through Multi-Task Learning
Jiawen Liu, Menglu Su
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Jiawen Liu, Menglu Su
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Combining heterogeneous data sources for neuroimaging based diagnosis: re-weighting and selecting what is important
Michele Donini, João M. Monteiro, Massimiliano Pontil, et al.
NeuroImage (2019) Vol. 195, pp. 215-231
Open Access | Times Cited: 17
Michele Donini, João M. Monteiro, Massimiliano Pontil, et al.
NeuroImage (2019) Vol. 195, pp. 215-231
Open Access | Times Cited: 17
From multivariate methods to an AI ecosystem
Nils R. Winter, Micah Cearns, Scott Clark, et al.
Molecular Psychiatry (2021) Vol. 26, Iss. 11, pp. 6116-6120
Open Access | Times Cited: 14
Nils R. Winter, Micah Cearns, Scott Clark, et al.
Molecular Psychiatry (2021) Vol. 26, Iss. 11, pp. 6116-6120
Open Access | Times Cited: 14
CBT for Childhood Anxiety: Reviewing the State of Personalised Intervention Research
Lizél‐Antoinette Bertie, Jennifer L. Hudson
Frontiers in Psychology (2021) Vol. 12
Open Access | Times Cited: 14
Lizél‐Antoinette Bertie, Jennifer L. Hudson
Frontiers in Psychology (2021) Vol. 12
Open Access | Times Cited: 14
Recommendations for machine learning benchmarks in neuroimaging
Ramona Leenings, Nils R. Winter, Udo Dannlowski, et al.
NeuroImage (2022) Vol. 257, pp. 119298-119298
Open Access | Times Cited: 10
Ramona Leenings, Nils R. Winter, Udo Dannlowski, et al.
NeuroImage (2022) Vol. 257, pp. 119298-119298
Open Access | Times Cited: 10
The impact of visual dysfunctions in recent-onset psychosis and clinical high-risk state for psychosis
Johanna Schwarzer, Inga Meyhoefer, Linda A. Antonucci, et al.
Neuropsychopharmacology (2022) Vol. 47, Iss. 12, pp. 2051-2060
Open Access | Times Cited: 10
Johanna Schwarzer, Inga Meyhoefer, Linda A. Antonucci, et al.
Neuropsychopharmacology (2022) Vol. 47, Iss. 12, pp. 2051-2060
Open Access | Times Cited: 10
A Systematic Evaluation of Machine Learning-based Biomarkers for Major Depressive Disorder across Modalities
Nils R. Winter, Julian Blanke, Ramona Leenings, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 5
Nils R. Winter, Julian Blanke, Ramona Leenings, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 5
Out of their minds? Externalist challenges for using AI in forensic psychiatry
Georg Starke, Ambra D’Imperio, Marcello Ienca
Frontiers in Psychiatry (2023) Vol. 14
Open Access | Times Cited: 5
Georg Starke, Ambra D’Imperio, Marcello Ienca
Frontiers in Psychiatry (2023) Vol. 14
Open Access | Times Cited: 5
The functional variant rs334558 of <em>GSK3B</em> is associated with remission in patients with depressive disorders
Аnastasia Levchenko, Innokentiy S. Losenkov, N. Vyalova, et al.
Pharmacogenomics and Personalized Medicine (2018) Vol. Volume 11, pp. 121-126
Open Access | Times Cited: 15
Аnastasia Levchenko, Innokentiy S. Losenkov, N. Vyalova, et al.
Pharmacogenomics and Personalized Medicine (2018) Vol. Volume 11, pp. 121-126
Open Access | Times Cited: 15
Harnessing Technology to Address the Global Mental Health Crisis
Amirali Batada, Rene Leon Solano
World Bank, Washington, DC eBooks (2019)
Open Access | Times Cited: 15
Amirali Batada, Rene Leon Solano
World Bank, Washington, DC eBooks (2019)
Open Access | Times Cited: 15
Mind the Gaps: Ethical and Epistemic Issues in the Digital Mental Health Response to Covid‐19
Joshua August Skorburg, Phoebe Friesen
The Hastings Center Report (2021) Vol. 51, Iss. 6, pp. 23-26
Open Access | Times Cited: 12
Joshua August Skorburg, Phoebe Friesen
The Hastings Center Report (2021) Vol. 51, Iss. 6, pp. 23-26
Open Access | Times Cited: 12
Who will respond to intensive PTSD treatment? A machine learning approach to predicting response prior to starting treatment
Philip Held, Ryan A. Schubert, Sarah Pridgen, et al.
Journal of Psychiatric Research (2022) Vol. 151, pp. 78-85
Open Access | Times Cited: 9
Philip Held, Ryan A. Schubert, Sarah Pridgen, et al.
Journal of Psychiatric Research (2022) Vol. 151, pp. 78-85
Open Access | Times Cited: 9
“Apples and pears are similar, but still different things.” Bipolar disorder and schizophrenia- discrete disorders or just dimensions ?
Heinz Grunze, Marcelo Cetkovich
Journal of Affective Disorders (2021) Vol. 290, pp. 178-187
Closed Access | Times Cited: 11
Heinz Grunze, Marcelo Cetkovich
Journal of Affective Disorders (2021) Vol. 290, pp. 178-187
Closed Access | Times Cited: 11
Performance Analysis of Machine Learning and Soft Computing Techniques in Diagnosis of Behavioral Disorders
Preeti Monga, Manik Sharma, Sanjeev Sharma
Lecture notes in electrical engineering (2022), pp. 85-99
Closed Access | Times Cited: 8
Preeti Monga, Manik Sharma, Sanjeev Sharma
Lecture notes in electrical engineering (2022), pp. 85-99
Closed Access | Times Cited: 8
Association between childhood trauma, parental bonding and antisocial personality disorder in adulthood: A machine learning approach
Manuela Teixeira Schorr, Barbara Tietbohl Martins Quadors dos Santos, Jacson Gabriel Feiten, et al.
Psychiatry Research (2021) Vol. 304, pp. 114082-114082
Closed Access | Times Cited: 10
Manuela Teixeira Schorr, Barbara Tietbohl Martins Quadors dos Santos, Jacson Gabriel Feiten, et al.
Psychiatry Research (2021) Vol. 304, pp. 114082-114082
Closed Access | Times Cited: 10
Predictive monitoring using machine learning algorithms and a real‐life example on schizophrenia
Leo C.E. Huberts, Ronald J. M. M. Does, Bastian Ravesteijn, et al.
Quality and Reliability Engineering International (2021) Vol. 38, Iss. 3, pp. 1302-1317
Open Access | Times Cited: 9
Leo C.E. Huberts, Ronald J. M. M. Does, Bastian Ravesteijn, et al.
Quality and Reliability Engineering International (2021) Vol. 38, Iss. 3, pp. 1302-1317
Open Access | Times Cited: 9
Prediction Along a Developmental Perspective in Psychiatry: How Far Might We Go?
Frauke Nees, Lorenz Deserno, Nathalie Holz, et al.
Frontiers in Systems Neuroscience (2021) Vol. 15
Open Access | Times Cited: 8
Frauke Nees, Lorenz Deserno, Nathalie Holz, et al.
Frontiers in Systems Neuroscience (2021) Vol. 15
Open Access | Times Cited: 8
Applicability of an Automated Model and Parameter Selection in the Prediction of Screening-Level PTSD in Danish Soldiers Following Deployment: Development Study of Transferable Predictive Models Using Automated Machine Learning
Karen‐Inge Karstoft, Ioannis Tsamardinos, Kasper Eskelund, et al.
JMIR Medical Informatics (2020) Vol. 8, Iss. 7, pp. e17119-e17119
Open Access | Times Cited: 8
Karen‐Inge Karstoft, Ioannis Tsamardinos, Kasper Eskelund, et al.
JMIR Medical Informatics (2020) Vol. 8, Iss. 7, pp. e17119-e17119
Open Access | Times Cited: 8