Emergency psychiatric state prediction for ambient assisted living
作者： Md Golam Rabiul Alam , Rim Haw , Choong Seon Hong
DOI: 10.1109/ICCE.2015.7066388
关键词: Web application 、 Service (systems architecture) 、 State prediction 、 Service-oriented architecture 、 Home automation 、 Assisted living 、 Computer science 、 Psychiatry 、 Mental healthcare 、 Medical services
摘要: Mental healthcare can be the smart home service for ambient assisted living. In this paper, a web of objects embedded architecture is presented mental healthcare. Patients' psychiatric symptoms are collected through lightweight bio-sensors and based screening scales then analyzed using machine learning algorithms.
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