Sydney Grant, Tom Andrew, Sarah Mullin, Sebastian Podlipnik, Susana Puig, Grant McArthur, Rikki Cannioto, Kristopher Attwood, Joseph Skitzki, Penny Lovat, Gyorgy Paragh
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The development of a risk stratification tool for localized melanomas through the integrated application of supervised and unsupervised machine learning techniques.
期刊介绍:
The Journal of the American Academy of Dermatology (JAAD) is the official scientific publication of the American Academy of Dermatology (AAD). Its primary goal is to cater to the educational requirements of the dermatology community. Being the top journal in the field, JAAD publishes original articles that have undergone peer review. These articles primarily focus on clinical, investigative, and population-based studies related to dermatology. Another key area of emphasis is research on healthcare delivery and quality of care. JAAD also highlights high-quality, cost-effective, and innovative treatments within the field. In addition to this, the journal covers new diagnostic techniques and various other topics relevant to the prevention, diagnosis, and treatment of skin, hair, and nail disorders.