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Communication Dans Un Congrès Année : 2019

Data-oriented approach to improve adherence to CPAP therapy during the initiation phase

Résumé

Obstructive Sleep Apnea (OSA) is a sleep pathology that leads to different illness. The goal therapy for OSA is a Continuous Positive Airway Pressure (CPAP). However, CPAP therapy is one of the therapies which has the lowest adherence level. This paper presents a data-driven framework to improve the experience of the patients during the initiation phase of CPAP therapy. Since this phase is a key factor for adherence level over time. Our approach uses data analytics techniques to provide personalised services for each patient through a different process of knowledge discovery. We have integrated a validation process for each outcome of the framework, Therefore, there is also continuous improvement of the data models.
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Dates et versions

hal-02453236 , version 1 (23-01-2020)

Identifiants

  • HAL Id : hal-02453236 , version 1

Citer

Jensen Selwyn Joymangul, Aicha Sekhari, Néjib Moalla, Olivier Grasset. Data-oriented approach to improve adherence to CPAP therapy during the initiation phase. 13th IEEE international Conference on Software, Knowledge, Information Management & Applications - SKIMA 2019, Aug 2019, Island of Ulkulhas, Maldives. 6 p. ⟨hal-02453236⟩
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