E F Haghish
Position
Postdoctoral Fellow, Artificial Intelligence & Mental Health
Affiliation
- haghish@uib.no
- Visitor address
-
Christies gate 12
5015 Bergen - Room: 514
- Postal address
-
P.O. Box 7807NO-5020 BergenNorway
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E F Haghish
Position
Postdoctoral Fellow, Artificial Intelligence & Mental Health
Affiliation
Research groups
Short info
Research
I'm a postdoctoral researcher in Artificial Intelligence and Health Psychology. My work focuses on improving the transparency and robustness of AI models and adapting them for mental health research, particularly in the context of adolescent suicidality and self-destructive behavior. I'm currently validating the generalizability of the Theory of Adolescent Suicidality and Self-Destruction and exploring AI applications in data-driven theory development and assessment.
My statistical and AI research is hosted on GitHub: https://github.com/haghish
My recent psychological publications are on Researchgate: https://www.researchgate.net/profile/E-F-Haghish
Publications
2024
- Fardzadeh, Haghish Ebad; Sahuquillo, Juan; Radoi, Andreea et al. (2024). Validating the Spanish translation of the posttraumatic stress disorder checklist (PCL-5) in a sample of individuals with traumatic brain injury. (external link)
- Chegeni, Razieh; Sagoe, Dominic; Syvertsen, Andre et al. (2024). Some for a Good Time, Some for a Long Time: Women’s Ratings of the Mate Value of Men with Different Addictions–An Experimental Study. (external link)
- Fardzadeh, Haghish Ebad; Czajkowski, Nikolai Olavi; Walby, Fredrik Andreas et al. (2024). Suicide attempt risk predicts inconsistent self-reported suicide attempts: A machine learning approach using longitudinal data. (external link)
2023
- Fardzadeh, Haghish Ebad; Nes, Ragnhild Bang; Obaidi, Milan et al. (2023). Unveiling Adolescent Suicidality: Holistic Analysis of Protective and Risk Factors Using Multiple Machine Learning Algorithms. (external link)
- Fardzadeh, Haghish Ebad; Czajkowski, Nikolai Olavi; Soest, Tilmann Martin von (2023). Predicting suicide attempts among Norwegian adolescents without using suicide-related items: a machine learning approach. (external link)
- Spiech, Connor; Endestad, Tor; Laeng, Bruno et al. (2023). Beat alignment ability is associated with formal musical training not current music playing. (external link)
- Fardzadeh, Haghish Ebad; Czajkowski, Nikolai Olavi (2023). Reconsidering False Positives in Machine Learning Binary Classification Models of Suicidal Behavior. (external link)
- Fardzadeh, Haghish Ebad; Laeng, Bruno; Czajkowski, Nikolai Olavi (2023). Are false positives in suicide classification models a risk group? Evidence for “true alarms” in a population-representative longitudinal study of Norwegian adolescents. (external link)
- Fardzadeh, Haghish Ebad; Obaidi, Milan; Strømme, Thea Bertnes et al. (2023). Mental Health, Well-Being, and Adolescent Extremism: A Machine Learning Study on Risk and Protective Factors. (external link)
2021
- Fardzadeh, Haghish Ebad; Vach, Werner; Højen, Anders et al. (2021). Estimating measurement error in child language assessments administered by daycare educators in large scale intervention studies. (external link)
- Soest, Tilmann von; Kozák, Michal; Cano, Ruben Rodriguez et al. (2021). Adolescents’ psychosocial well-being one year after the outbreak of the COVID-19 pandemic in Norway. (external link)
2020
- Fardzadeh, Haghish Ebad (2020). Developing, maintaining, and hosting Stata statistical software on GitHub. (external link)
- Teymoori, Ali; Gorbunova, A; Fardzadeh, Haghish Ebad et al. (2020). Factorial Structure and Validity of Depression (PHQ-9) and Anxiety (GAD-7) Scales after Traumatic Brain Injury. (external link)
- Praag, Dominique Van; Fardzadeh, Haghish Ebad; Covic, Amra et al. (2020). Preliminary validation of the Dutch version of the Posttraumatic stress disorder checklist for DSM-5 (PCL-5) after traumatic brain injury in a civilian population. (external link)
Projects
Child and Adolescent Self-Destructive Thoughts and Behavior: Conceptualizing and Holistic Risk Assessment