Graph-based association rule learning for context-based health monitoring to enable user-centered assistance
Tài liệu tham khảo
Becker, 2021, Technologische Souveränität in der Biomedizinischen Technik: Der Mensch im Fokus, VDE Positionspaper, 1
Mardini, 2019, A survey of healthcare monitoring systems for chronically ill patients and elderly, J Med Syst, 43, 50, 10.1007/s10916-019-1165-0
Schwalbe, 2020, Artificial intelligence and the future of global health, Lancet, 395, 1579, 10.1016/S0140-6736(20)30226-9
Elizabeta, 2020, Artificial intelligence in the healthcare of older people, Arch Psychiatr Ment Health, 4, 7, 10.29328/journal.apmh.1001011
Dey, 2018, Medical cyber-physical systems: a survey, J Med Syst, 42, 74, 10.1007/s10916-018-0921-x
Zanella
Rhayem, 2021, A semantic-enabled and context-aware monitoring system for the internet of medical things, Expert Syst, 38, 10.1111/exsy.12629
Sahlab, 2020, AI-based elderly assistance systems, Stud Health Technol Inform, 273, 163
Sahlab, 2020, Dynamic context modeling for cyber-physical systems applied to a pill dispenser, 1435
Chihani, 2013, A graph-based context modeling approach, 1
Forkan, 2015, A context-aware approach for long-term behavioural change detection and abnormality prediction in ambient assisted living, Pattern Recogn, 48, 628, 10.1016/j.patcog.2014.07.007
Mark Needham Amy Hodler, Graph algorithms: practical examples in Apache Spark and Neo4j: O'Reilly Media.
Sahlab, 2021, An approach for context-aware cyber-physical automation systems, IFAC-PapersOnLine, 54, 171, 10.1016/j.ifacol.2021.10.029
Agrawal, 1994, Fast algorithms for mining association rules in large databases, 487
Forkan, 2017, BDCaM: big data for context-aware monitoring—a personalized knowledge discovery framework for assisted healthcare, IEEE Trans Cloud Comput, 5, 628, 10.1109/TCC.2015.2440269
Soares-Miranda, 2014, Physical activity and heart rate variability in older adults: the cardiovascular health study, Circulation, 129, 2100, 10.1161/CIRCULATIONAHA.113.005361
Musameh, 2017, Determinants of day-night difference in blood pressure, a comparison with determinants of daytime and night-time blood pressure, J Hum Hypertens, 31, 43, 10.1038/jhh.2016.14
Yin, 2019, Context-aware systems for chronic disease patients: scoping review, J Med Internet Res, 21, 10.2196/10896
Zhang, 2015, A context-aware mHealth system for online physiological monitoring in remote healthcare, Int J Comput Commun Control, 11, 142, 10.15837/ijccc.2016.1.1333
Chen, 2021, Synthetic data in machine learning for medicine and healthcare, Nat Biomed Eng, 5, 493, 10.1038/s41551-021-00751-8