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Neuroethics at the interface of machine learning and schizophrenia
9 references·0 citing·42 second hop
Neuroethics at the interface of machine learning and schizophrenia (2020)Neuroethics at the interface of machine l…The global landscape of AI ethics guidelines (2019)The global landscape of AI et…Detecting relapse in youth with psychotic disorders utilizing patient-generated and patient-contributed digital data from Facebook (2019)Detecting relapse in youth wi…A technology-assisted life of recovery from psychosis (2019)A technology-assisted life of…A machine learning approach to predicting psychosis using semantic density and latent content analysis (2019)A machine learning approach t…Ensuring Fairness in Machine Learning to Advance Health Equity (2018)Ensuring Fairness in Machine …Data mining for health: staking out the ethical territory of digital phenotyping (2018)Data mining for health: staki…Digital Phenotyping (2017)Digital PhenotypingRacist in the Machine (2016)Racist in the MachineRacial disparities in psychotic disorder diagnosis: A review of empirical literature (2014)Racial disparities in psychot…The American Psychological Association (1919)Mental Health: Culture, Race, and Ethnicity—A Supplement to Mental Health: A Report of the Surgeon General (2001)Diagnostic and Statistical Manual of Mental Disorders (2013)Forensic risk assessment and cultural diversity: Contemporary challenges and future directions. (2016)Prevalence, Comorbidity, and Sociodemographic Correlates of Psychiatric Diagnoses Reported in the All of Us Research Program (2022)Trauma and US Minority Children and Youth (2022)The NIMH Research Domain Criteria (RDoC) Project: Precision Medicine for Psychiatry (2014)Diez pasos para la construcción de un test (2019)Toward clinical digital phenotyping: a timely opportunity to consider purpose, quality, and safety (2019)Health Care Disparities (2003)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Mitigating Unwanted Biases with Adversarial Learning (2018)Artificial intelligence and algorithmic bias: implications for health systems (2019)Measures of Racism, Sexism, Heterosexism, and Gender Binarism for Health Equity Research: From Structural Injustice to Embodied Harm—An Ecosocial Analysis (2019)Ethical Machine Learning in Healthcare (2021)Of mental health. (1947)Privacy and human behavior in the age of information (2015)A new agenda for personality psychology in the digital age? (2019)The Therapeutic Alliance in Digital Mental Health Interventions for Serious Mental Illnesses: Narrative Review (2020)Digital Phenotyping: Data-Driven Psychiatry to Redefine Mental Health (2023)Choosing Prediction Over Explanation in Psychology: Lessons From Machine Learning (2017)Using Language Processing and Speech Analysis for the Identification of Psychosis and Other Disorders (2020)More than a biomarker: could language be a biosocial marker of psychosis? (2021)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. (2009)Principles alone cannot guarantee ethical AI (2019)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)Ethics of AI in Education: Towards a Community-Wide Framework (2021)Digital Natives, Digital Immigrants Part 1 (2001)Research Domain Criteria (RDoC): Toward a New Classification Framework for Research on Mental Disorders (2010)The RDoC framework: facilitating transition from ICD/DSM to dimensional approaches that integrate neuroscience and psychopathology (2014)Community Mental Health Care Delivery During the COVID-19 Pandemic: Practical Strategies for Improving Care for People with Serious Mental Illness (2020)COVID-19, mobile health and serious mental illness (2020)Global mental health and COVID-19 (2020)The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods (2009)Anomaly detection to predict relapse risk in schizophrenia (2021)Machine learning for passive mental health symptom prediction: Generalization across different longitudinal mobile sensing studies (2022)The promise of a model-based psychiatry: building computational models of mental ill health (2022)Governing Artificial Intelligence to benefit the UN Sustainable Development Goals (2020)Into the void: A conceptual model and research agenda for the design and use of asynchronous video interviews (2020)AI Fairness in Data Management and Analytics: A Review on Challenges, Methodologies and Applications (2023)
this work references cited by second hop

References

  • 2019The global landscape of AI ethics guidelines6,172 cited
  • 2018Ensuring Fairness in Machine Learning to Advance Health Equity1,334 cited
  • 2017Digital Phenotyping832 cited
  • 2014Racial disparities in psychotic disorder diagnosis: A review of empirical literature462 cited
  • 2016Racist in the Machine257 cited
  • 2018Data mining for health: staking out the ethical territory of digital phenotyping218 cited
  • 2019A machine learning approach to predicting psychosis using semantic density and latent content analysis203 cited
  • 2019Detecting relapse in youth with psychotic disorders utilizing patient-generated and patient-contributed digital data from Facebook109 cited
  • 2019A technology-assisted life of recovery from psychosis38 cited

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