Atopic dermatitis

Data-driven personalised recommendations for eczema treatment using a Bayesian model of severity dynamics
Guillem Hurault, J-F. Stalder, M. Saint Aroman, R.J. Tanaka
Code DOI
Evaluation of measurement errors in the Patient-Oriented Eczema Measure (POEM) outcome
The Patient-Oriented Eczema Measure (POEM) is a recommended score to assess eczema symptoms from a patient’s perspective with a weekly recall. Patients tended to slightly underestimate their symptoms when reporting POEM with significant recall noise. Recall errors should be considered when interpreting POEM scores. More research is needed to evaluate methods to reduce poor recall (such as aide-memoirs).
A. Duverdier, Guillem Hurault, K. Thomas, A. Custovic, R.J. Tanaka
Cite Code DOI
Evaluation of measurement errors in the Patient-Oriented Eczema Measure (POEM) outcome
Reliable detection of eczema areas for fully automated assessment of eczema severity from digital camera images
Assessing the severity of eczema in clinical research requires face-to-face skin examination by trained staff. Such approaches are …
R. Attar, Guillem Hurault, Z. Wang, R. Mokhtari, K. Pan, B. Olabi, E. Earp, L. Steele, H. C. Williams, R. J. Tanaka
Cite Code DOI MedRxiv
EczemaPred: A computational framework for personalised prediction of eczema severity dynamics
Prediction of the patient-specific dynamic evolution of AD severity by EczemaPred will help manage and anticipate fluctuating disease symptoms, contributing to personalised medicine.
Guillem Hurault, J-F. Stalder, S. Mery, A. Delarue, M. Saint Aroman, G. Josse, R. J. Tanaka
Cite Code DOI R Package