Hussein Jouni, Lionel Jouffe, Emmanuelle Tancrede-Bohin, Pierre André, Soraya Benamor, Pierre-Patrice Cabotin, Jin Chen, Zekai Chen, Katleen Conceiçao, Ncoza Dlova, Catherine Figoni-Laugel, Xianwei Han, Dongni Li, Isabelle Pansé, Mira Pavlovic-Ganascia, Valerie Harvey, Fatimata Ly, Sylvie Niverd-Rondelé, Nokubonga Khoza, Antoine Petit, Marie-Estelle Roux, Yu Shi, Isabelle Tardy-Bastide, Neelam Vashi, Shanqing Wang, Youli Wang, Jun Wu, Nan Xu, Yuehua Yan, Charles Gomes, Edouard Raynaud
INTRODUCTION: Software to predict the impact of aging on physical appearance is increasingly popular. But it does not consider the complex interplay of factors that contribute to skin aging. OBJECTIVES: To predict the +15-year progression of clinical signs of skin aging by developing Causal Bayesian Belief Networks (CBBNs) using expert knowledge from dermatologists. MATERIAL AND METHODS: Structures and conditional probability distributions were elicited worldwide from dermatologists with experience of at least 15 years in aesthetics...
February 2024: Skin Research and Technology