DeepSEAS: Smartphone-based Early Ailment Sensing Using Coupled LSTM AutoEncoders

Infectious diseases epidemics such as the current COVID-19 pandemic have an immense impact on all facets of life. Consequently, the current dearth of effective and timely public health surveillance methods, especially at the individual level, have been accentuated, prompting research into supplement...

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Veröffentlicht in:	2020 IEEE International Conference on Big Data (Big Data) S. 4911 - 4918
Hauptverfasser:	Murthy, Shreesha Narasimha, Asani, Florina, Srikanthan, Srinarayan, Agu, Emmanuel
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 10.12.2020
Schlagworte:	Big Data Biology Influenza LSTM Autoencoder Mean-Shift Clustering Proximity Sensors Smart phones Social networking (online) Surveillance Transforms WLAN
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