| scholarly article | Q13442814 |
| P356 | DOI | 10.1017/S0033291720001683 |
| P698 | PubMed publication ID | 32536358 |
| P50 | author | Georg Starke | Q96343190 |
| Stefan J Borgwardt | Q43272535 | ||
| Bernice Elger | Q48075872 | ||
| P2093 | author name string | Eva De Clercq | |
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| P921 | main subject | schizophrenia | Q41112 |
| machine learning | Q2539 | ||
| P304 | page(s) | 1-7 | |
| P577 | publication date | 2020-06-15 | |
| P1433 | published in | Psychological Medicine | Q7256364 |
| P1476 | title | Computing schizophrenia: ethical challenges for machine learning in psychiatry |
| Q100760607 | Comment on Starke et al.: 'Computing schizophrenia: ethical challenges for machine learning in psychiatry': from machine learning to student learning: pedagogical challenges for psychiatry |
| Q108863483 | Commentary: the ethical challenges of machine learning in psychiatry: a focus on data, diagnosis, and treatment |
| Q104288174 | Why educating for clinical machine learning still requires attention to history: a rejoinder to Gauld et al |
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