Remote monitoring of positive airway pressure data: challenges, pitfalls, and strategies to consider for optimal data science applications

G Bottaz-Bosson, A Midelet, M Mendelson, JC Borel… - Chest, 2023 - Elsevier
Over recent years, positive airway pressure (PAP) remote monitoring has transformed the
management of OSA and produced a large amount of data. Accumulated PAP data provide …

Personality traits and pre-treatment beliefs and cognitions predicting patient adherence to continuous positive airway pressure: A systematic review

P Kasetti, NF Husain, TC Skinner… - Sleep Medicine …, 2024 - Elsevier
Abstract Adherence to Continuous Positive Airway Pressure for obstructive sleep apnoea
(OSA) can be improved by behavioural interventions which modify patients' beliefs and …

latrend: A Framework for Clustering Longitudinal Data

ND Teuling, S Pauws, E Heuvel - arXiv preprint arXiv:2402.14621, 2024 - arxiv.org
Clustering of longitudinal data is used to explore common trends among subjects over time
for a numeric measurement of interest. Various R packages have been introduced …

[PDF][PDF] On approaches for clustering longitudinal data: With extensions for modeling therapy adherence of sleep apnea patients

NGP Den Teuling - 2023 - research.tue.nl
The analysis of longitudinal data is prominent in correlational studies that look for
correspondence between observations of the same variables over extended period of time …

Classification de trajectoires d'observance de patients atteints d'un syndrome d'apnées obstructives du sommeil

G Bottaz-Bosson - 2022 - theses.hal.science
Le syndrome d'apnées obstructives du sommeil (SAOS) est une pathologie à forte
prévalence en France. Le SAOS est associé à des comorbidités cardiovasculaires comme …

[PDF][PDF] CLUSTER ANALYSIS OF CPAP PATIENT DATA USING SELF-SUPERVISED LEARNING

SWEN CHIU - arno.uvt.nl
I appreciate my university supervisor, Dr. Marijn van Wingerden, for all the support and
guidance through this thesis. I greatly thank him for his patience and knowledgeable …