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Open Access
Peer-reviewed
Research Article
Machine learning-based predictive modeling of resilience to stressors in pregnant women during COVID-19: A prospective cohort study
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Emily S. Nichols ,
Contributed equally to this work with: Emily S. Nichols, Harini S. Pathak
Roles Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Project administration, Supervision, Visualization, Writing – original draft, Writing – review & editing
* E-mail: enicho4@uwo.ca
Affiliations Applied Psychology, Faculty of Education, Western University, London, Ontario, Canada, The Brain and Mind Institute, The University of Western Ontario, London, Ontario, Canada
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Harini S. Pathak ,
Contributed equally to this work with: Emily S. Nichols, Harini S. Pathak
Roles Data curation, Formal analysis, Software, Writing – review & editing
Affiliation Department of Computer Science, The University of Western Ontario, London, Ontario, Canada
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Roberta Bgeginski,
Roles Data curation, Formal analysis, Funding acquisition, Methodology, Writing – review & editing
Affiliation R. Samuel McLaughlin Foundation—Exercise and Pregnancy Laboratory, School of Kinesiology, Faculty of Health Sciences, Children’s Health Research Institute, Western University, London, Ontario, Canada
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Michelle F. Mottola,
Roles Conceptualization, Methodology, Supervision, Writing – review & editing
Affiliations R. Samuel McLaughlin Foundation—Exercise and Pregnancy Laboratory, School of Kinesiology, Faculty of Health Sciences, Children’s Health Research Institute, Western University, London, Ontario, Canada, Department of Anatomy and Cell Biology, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
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Isabelle Giroux,
Roles Conceptualization, Methodology, Writing – review & editing
Affiliation School of Nutrition Sciences, Faculty of Health Sciences, University of Ottawa, Ottawa, Ontario, Canada
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Ryan J. Van Lieshout,
Roles Conceptualization, Methodology, Writing – review & editing
Affiliation Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada
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Yalda Mohsenzadeh,
Roles Conceptualization, Methodology, Supervision, Writing – review & editing
Affiliations The Brain and Mind Institute, The University of Western Ontario, London, Ontario, Canada, Department of Computer Science, The University of Western Ontario, London, Ontario, Canada
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Emma G. Duerden
Roles Conceptualization, Funding acquisition, Methodology, Resources, Supervision, Validation, Writing – review & editing
Affiliations Applied Psychology, Faculty of Education, Western University, London, Ontario, Canada, The Brain and Mind Institute, The University of Western Ontario, London, Ontario, Canada, Psychiatry, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario, Canada
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Machine learning-based predictive modeling of resilience to stressors in pregnant women during COVID-19: A prospective cohort study
- Emily S. Nichols,
- Harini S. Pathak,
- Roberta Bgeginski,
- Michelle F. Mottola,
- Isabelle Giroux,
- Ryan J. Van Lieshout,
- Yalda Mohsenzadeh,
- Emma G. Duerden
- Published: August 11, 2022
- https://doi.org/10.1371/journal.pone.0272862