Why educating for clinical machine learning still requires attention to history: A rejoinder to Gauld et al

Georg Starke; Eva De Clercq; Stefan Borgwardt; Bernice Simone Elger

doi:10.1017/S0033291720004766

Why educating for clinical machine learning still requires attention to history: A rejoinder to Gauld et al

Georg Starke^*, Eva De Clercq, Stefan Borgwardt, Bernice Simone Elger

^*Corresponding author for this work

Clinic of Psychiatry and Psychotherapy

2 Citations (Scopus)

Original language	English
Journal	Psychological Medicine
Volume	51
Issue number	14
Pages (from-to)	2512-2513
Number of pages	2
ISSN	0033-2917
DOIs	https://doi.org/10.1017/S0033291720004766
Publication status	Published - 14.10.2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 10 Reduced Inequalities

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10.1017/S0033291720004766

Cite this

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title = "Why educating for clinical machine learning still requires attention to history: A rejoinder to Gauld et al",

author = "Georg Starke and \{De Clercq\}, Eva and Stefan Borgwardt and Elger, \{Bernice Simone\}",

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T2 - A rejoinder to Gauld et al

AU - Starke, Georg

AU - De Clercq, Eva

AU - Borgwardt, Stefan

AU - Elger, Bernice Simone

PY - 2021/10/14

Y1 - 2021/10/14

UR - https://www.scopus.com/pages/publications/85097838803

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DO - 10.1017/S0033291720004766

M3 - Letters

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AN - SCOPUS:85097838803

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SP - 2512

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JO - Psychological Medicine

JF - Psychological Medicine

IS - 14

ER -

Why educating for clinical machine learning still requires attention to history: A rejoinder to Gauld et al

UN SDGs

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