Publications by authors named "S Delon"
Predicting haplogroups using a versatile machine learning program (PredYMaLe) on a new mutationally balanced 32 Y-STR multiplex (CombYplex): Unlocking the full potential of the human STR mutation rate spectrum to estimate forensic parameters.
Forensic Sci Int Genet
September 2020
Article Synopsis
- A new Y-STR multiplex called CombYplex was developed, along with a machine learning program named PredYMaLe, to predict haplogroups while meeting forensic standards.
- The CombYplex consists of two sub-panels (M1 and M2) focused on different mutation rates, and testing showed it effectively distinguishes haplogroup classes from a sample of 996 individuals.
- The machine learning models SVM and Random Forest achieved high prediction accuracy (around 97%), although some haplogroups had lower scores due to small sample sizes, highlighting the importance of a large and diverse training dataset for improving classification accuracy.
Alberta's integrated approach to chronic disease management programming embraces client-centred care, supports self-management and facilitates care across the continuum. This paper presents strategies implemented through collaboration with primary care to improve care of individuals with chronic conditions, evaluation evidence supporting success and lessons learned from the Alberta perspective.
View Article and Find Full Text PDFThe objectives of this study were to document the psychosocial characteristics of treatment-adherent, successfully treated HIV patients and to examine the relationships between psychosocial variables. The sample was composed of 133 persons living with HIV, with optimal adherence to antiretroviral therapy and with no detectable viral load. The psychosocial profile of the cohort showed that participants had moderate levels of stress, used a wide range of strategies to adjust to their situation and perceived their social support to be good.
View Article and Find Full Text PDFThe aim of this study was to identify factors associated with adherence in patients treated by antiretroviral therapy for HIV infection, after 12 months of follow-up, and to identify potential predictive factors of adherence over a one-year period. All patients included in the cohort had an optimal adherence at inclusion, evaluated by the level of viral load and a questionnaire. Among the 133 patients included in the cohort, 115 patients were still followed one year later.
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