Data-oriented approach to improve adherence to CPAP therapy during the initiation phase
- Resource Type
- Conference
- Authors
- Joymangul, Jensen Selwyn; Sekhari, Aicha; Moalla, Nejib; Grasset, Olivier
- Source
- 2019 13th International Conference on Software, Knowledge, Information Management and Applications (SKIMA) Software, Knowledge, Information Management and Applications (SKIMA), 2019 13th International Conference on. :1-6 Aug, 2019
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Engineering Profession
Robotics and Control Systems
Signal Processing and Analysis
Data analytics
CPAP
Patient profiling
Homecare Personalised intervention
- Language
- ISSN
- 2573-3214
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.