E F Haghish
Stilling
postdoktor, Kunstig Intelligens og Psykisk Helse
Tilhørighet
- E-post
- haghish@uib.no
- Besøksadresse
-
Christies gate 12
5015 Bergen - Rom: 514
- Postadresse
-
Postboks 7807
5020 Bergen
Følg meg
E F Haghish
Stilling
postdoktor, Kunstig Intelligens og Psykisk Helse
Tilhørighet
Forskergrupper
Kort info
Forskning
Jeg er postdoktor i kunstig intelligens og helsepsykologi. Arbeidet mitt fokuserer på å forbedre åpenhet og robusthet i KI-modeller og tilpasse dem til forskning på psykisk helse, særlig med hensyn til selvmordsatferd og selvdestruktivitet blant ungdom. For tiden validerer jeg generaliserbarheten til Theory of Adolescent Suicidality and Self-Destruction, og utforsker bruken av KI i datadrevet teoriutvikling og -vurdering.
Min statistiske og KI-forskning er tilgjengelig på GitHub: https://github.com/haghish
Mine nyere psykologiske publikasjoner er tilgjengelige på ResearchGate: https://www.researchgate.net/profile/E-F-Haghish
Publikasjoner
2020
- Dominique Van Praag; Haghish Ebad Fardzadeh; Amra Covic 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. (ekstern lenke)
- Haghish Ebad Fardzadeh (2020). Developing, maintaining, and hosting Stata statistical software on GitHub. (ekstern lenke)
- Ali Teymoori; A Gorbunova; Haghish Ebad Fardzadeh et al. (2020). Factorial Structure and Validity of Depression (PHQ-9) and Anxiety (GAD-7) Scales after Traumatic Brain Injury. (ekstern lenke)
2023
- Haghish Ebad Fardzadeh; Milan Obaidi; Thea Bertnes Strømme et al. (2023). Mental Health, Well-Being, and Adolescent Extremism: A Machine Learning Study on Risk and Protective Factors. (ekstern lenke)
- Haghish Ebad Fardzadeh; Nikolai Olavi Czajkowski (2023). Reconsidering False Positives in Machine Learning Binary Classification Models of Suicidal Behavior. (ekstern lenke)
- Connor Spiech; Tor Endestad; Bruno Laeng et al. (2023). Beat alignment ability is associated with formal musical training not current music playing. (ekstern lenke)
- Haghish Ebad Fardzadeh; Bruno Laeng; Nikolai Olavi Czajkowski (2023). Are false positives in suicide classification models a risk group? Evidence for “true alarms” in a population-representative longitudinal study of Norwegian adolescents. (ekstern lenke)
- Haghish Ebad Fardzadeh; Nikolai Olavi Czajkowski; Tilmann Martin von Soest (2023). Predicting suicide attempts among Norwegian adolescents without using suicide-related items: a machine learning approach. (ekstern lenke)
- Haghish Ebad Fardzadeh; Ragnhild Bang Nes; Milan Obaidi et al. (2023). Unveiling Adolescent Suicidality: Holistic Analysis of Protective and Risk Factors Using Multiple Machine Learning Algorithms. (ekstern lenke)
2021
- Haghish Ebad Fardzadeh; Werner Vach; Anders Højen et al. (2021). Estimating measurement error in child language assessments administered by daycare educators in large scale intervention studies. (ekstern lenke)
- Tilmann von Soest; Michal Kozák; Ruben Rodriguez Cano et al. (2021). Adolescents’ psychosocial well-being one year after the outbreak of the COVID-19 pandemic in Norway. (ekstern lenke)
2024
- Razieh Chegeni; Dominic Sagoe; Andre Syvertsen 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. (ekstern lenke)
- Haghish Ebad Fardzadeh; Juan Sahuquillo; Andreea Radoi et al. (2024). Validating the Spanish translation of the posttraumatic stress disorder checklist (PCL-5) in a sample of individuals with traumatic brain injury. (ekstern lenke)
- Haghish Ebad Fardzadeh; Nikolai Olavi Czajkowski; Fredrik Andreas Walby et al. (2024). Suicide attempt risk predicts inconsistent self-reported suicide attempts: A machine learning approach using longitudinal data. (ekstern lenke)
Prosjekter
Child and Adolescent Self-Destructive Thoughts and Behavior: Conceptualizing and Holistic Risk Assessment