Quantifying expert knowledge to leverage new data: example of multi-ethnic skin aging prediction with elicitation

Int J Dermatol. 2024 Dec 11. doi: 10.1111/ijd.17599. Online ahead of print.

Edouard Raynaud^{1

2}, Neelam Vashi³, Valérie Harvey^{4

5}, Fatimata Ly⁶, Emmanuelle Tancrède-Bohin^{2

7}, Lionel Jouffe⁸, Arnaud Monseur⁹, Charles Gomes^{2

10}, Hussein Jouni^{2

10}

¹ Bioclinical Research Center (CRB) of L'Oréal Advanced Research, Saint-Louis Hospital, Paris, France.
² L'Oreal Research and Innovation, Clichy, France.
³ Department of Dermatology, Boston University School of Medicine, Boston, MA, USA.
⁴ Hampton Roads Center for Dermatology, Newport News, VA, USA.
⁵ Skin of Color Society, Newport News, VA, USA.
⁶ Department of Dermatology, EPS Institute of Social Hygiene, Cheikh Anta Diop Dakar University, Dakar, Senegal.
⁷ Dermatology Department, St Louis Hospital, APHP, Paris, France.
⁸ Bayesia S.A.S., Changé, France.
⁹ PharmaLex, Belgium.
¹⁰ Department of Data Science, L'Oreal Research and Innovation, Clichy, France.

No abstract available

Keywords: elicitation; facial aging; multi‐ethnic; photoprotection; predictive model; skin aging; skin of color; skin tone; sun exposure.

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