J. Kirchebner

发表

Exploring Characteristics of Homicide Offenders With Schizophrenia Spectrum Disorders Via Machine Learning.

S. Lau, Martina Sonnweber, J. Kirchebner, 2022, International journal of offender therapy and comparative criminology.

Higher level of neuroticism in patients with problems with the sense of smell

J. Lehrner, E. Auff, G. Pusswald, 2015, Wiener klinische Wochenschrift.

Schizophrenia and substance use disorder: Characteristics of coexisting issues in a forensic setting.

E. Seifritz, S. Lau, M. Günther, 2021, Drug and alcohol dependence.

High Risk, High Dose?—Pharmacotherapeutic Prescription Patterns of Offender and Non-Offender Patients with Schizophrenia Spectrum Disorder

S. Lau, M. Günther, J. Kirchebner, 2022, Biomedicines.

Identifying Direct Coercion in a High Risk Subgroup of Offender Patients With Schizophrenia via Machine Learning Algorithms

S. Lau, M. Günther, J. Kirchebner, 2020, Frontiers in Psychiatry.

CARIPRAZINE IN OFFENDER PATIENT WITH ACUTE PSYCHOSIS and aggressive behavior: Case REPORT

S. Lau, J. Kirchebner, Lena Machetanz, 2022, Psychiatry Research Case Reports.

Arsonists Suffering From Schizophrenia—A Description in Comparison with Other Offenders with a Similar Diagnosis

S. Lau, M. Günther, J. Kirchebner, 2020, Journal of forensic sciences.

Stress, Schizophrenia, and Violence: A Machine Learning Approach

U. Nater, S. Lau, M. Günther, 2020, Journal of interpersonal violence.

Violent and non-violent offending in patients with schizophrenia: Exploring influences and differences via machine learning.

S. Lau, Martina Sonnweber, J. Kirchebner, 2021, Comprehensive psychiatry.

Factors and predictors of length of stay in offenders diagnosed with schizophrenia - a machine-learning-based approach

S. Lau, M. Günther, Martina Sonnweber, 2020, BMC Psychiatry.

Maintaining social capital in offenders with schizophrenia spectrum disorder—An explorative analysis of influential factors

S. Lau, J. Kirchebner, L. Hofmann, 2022, Frontiers in Psychiatry.

Different needs in patients with schizophrenia spectrum disorders who behave aggressively towards others depend on gender: a latent class analysis approach

E. Habermeyer, S. Lau, M. Günther, 2021, Annals of General Psychiatry.

Correlates of Social Isolation in Forensic Psychiatric Patients with Schizophrenia Spectrum Disorders: An Explorative Analysis Using Machine Learning

S. Lau, J. Kirchebner, Lena Machetanz, 2023, International journal of environmental research and public health.

Identifying influential factors distinguishing recidivists among offender patients with a diagnosis of schizophrenia via machine learning algorithms.

S. Lau, M. Günther, J. Kirchebner, 2020, Forensic science international.

Latent class analysis identified phenotypes in individuals with schizophrenia spectrum disorder who engage in aggressive behaviour towards others

S. Lau, M. Günther, J. Kirchebner, 2019, European Psychiatry.

Exploring substance use as rule‐violating behaviour during inpatient treatment of offender patients with schizophrenia

S. Lau, M. Günther, Martina Sonnweber, 2022, Criminal behaviour and mental health : CBMH.

Model Building in Forensic Psychiatry: A Machine Learning Approach to Screening Offender Patients with SSD

S. Lau, J. Kirchebner, Lena Machetanz, 2022, Diagnostics.

Inpatient forensic psychiatry in the time of COVID-19: a survey study of perceived mental health implications on people with schizophrenia spectrum disorder

S. Schreiber, S. Lau, Marc Dörner, 2022, The Journal of Forensic Psychiatry & Psychology.

Towards identifying cancer patients at risk to miss out on psycho‐oncological treatment via machine learning

R. von Känel, S. Euler, M. Günther, 2022, European journal of cancer care.

Self-Harm Among Forensic Psychiatric Inpatients With Schizophrenia Spectrum Disorders: An Explorative Analysis

S. Lau, M. Günther, Martina Sonnweber, 2021, International journal of offender therapy and comparative criminology.

Escape and absconding among offenders with schizophrenia spectrum disorder – an explorative analysis of characteristics

S. Lau, Martina Sonnweber, J. Kirchebner, 2021, BMC Psychiatry.

Uncovering barriers to screening for distress in patients with cancer via machine learning.

R. von Känel, S. Euler, M. Günther, 2021, Journal of the Academy of Consultation-Liaison Psychiatry.

Suicidal Offenders and Non-Offenders with Schizophrenia Spectrum Disorders: A Retrospective Evaluation of Distinguishing Factors Using Machine Learning

E. Habermeyer, S. Lau, J. Kirchebner, 2023, Brain sciences.

Advantages of Machine Learning in Forensic Psychiatric Research—Uncovering the Complexities of Aggressive Behavior in Schizophrenia

S. Lau, J. Kirchebner, L. Hofmann, 2022, Applied Sciences.

Childhood Maltreatment, Psychopathology, and Offending Behavior in Patients With Schizophrenia: A Latent Class Analysis Evidencing Disparities in Inpatient Treatment Outcome

S. Euler, S. Lau, M. Günther, 2021, Frontiers in Psychiatry.

Individuals with schizophrenia who act violently towards others profit unequally from inpatient treatment—Identifying subgroups by latent class analysis

S. Lau, M. Günther, Martina Sonnweber, 2020, International journal of methods in psychiatric research.

S. Lau, M. Günther, Martina Sonnweber, 2020, International journal of environmental research and public health.

Antipsychotic Overdosing and Polypharmacy in Schizophrenic Delinquents Explored

S. Lau, M. Günther, J. Kirchebner, 2019, International journal of offender therapy and comparative criminology.

Offenders and non-offenders with schizophrenia spectrum disorders: Do they really differ in known risk factors for aggression?

S. Lau, J. Kirchebner, Lena Machetanz, 2023, Frontiers in Psychiatry.

Differentiating Between Sexual Offending and Violent Non-sexual Offending in Men With Schizophrenia Spectrum Disorders Using Machine Learning.

E. Habermeyer, S. Lau, M. Günther, 2023, Sexual abuse : a journal of research and treatment.

Offenders and non-offenders with schizophrenia spectrum disorders: the crime-preventive potential of sufficient embedment in the mental healthcare and support system

J. Kirchebner, Lena Machetanz, Jan Möhrke, 2023, Frontiers in psychiatry.

Predictive Factors Associated with Declining Psycho-Oncological Support in Patients with Cancer

S. Euler, M. Günther, J. Kirchebner, 2023, Current oncology.

Neuropsychiatric symptoms and lifelong mental activities in cerebral amyloid angiopathy – a cross-sectional study

E. Düzel, N. Hainc, F. Schreiber, 2024, Alzheimer's research & therapy.

Inferior Frontal Sulcal Hyperintensities on Brain MRI Are Associated with Amyloid Positivity beyond Age—Results from the Multicentre Observational DELCODE Study

A. Spottke, E. Düzel, I. Kilimann, 2024, Diagnostics.