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. 2022 Jun 14;40(4):1093–1123. doi: 10.1007/s00354-022-00175-1

Table 3.

Description of features obtained using multiple data sources

Feature label Feature name Description Data type Data source
F1 UID Unique id of the user String EMR
F2 Name Name of the user String EMR
F3 Age Age of the user in years Numeric EMR
F4 Gender Male or female Character EMR
F5 Mobile Contact number of the user Numeric EMR
F6 Address Workplace or home address of the user String EMR
F7 Caretaker details Contact number of the nearby relative String EMR
F8 Blood pressure Blood pressure measured in mmHg Numeric Medical sensor
F9 Oxygen level Percentage of body oxygen level Numeric Medical sensor
F10 Glucose level Glucose level in mg/dl Numeric Medical sensor
F11 Body temperature User’s body temperature in degree celsius Numeric Medical sensor
F12 Respiratory rate User’s respiratory rate in breaths per minute Numeric Medical sensor
F13 Gps location Current location of user Numeric GPS sensor
F14 Temperature Temperature of the geographic location Numeric Temperature sensor
F15 Fever Yes/No Character Mobile device
F16 Severe headache Yes /No Character Mobile device
F17 Vomiting Yes/No Character Mobile device
F18 Nausea Yes/No Character Mobile device
F19 Confusion Yes/No Character Mobile device
F20 Disorientation Yes/No Character Mobile device
F21 Hallucinations Yes/No Character Mobile device
F22 Coma Yes/No Character Mobile device
F23 Paralysis Yes/No Character Mobile device
F24 Memory loss Yes/No Character Mobile device
F25 Infectious insects Whether the user lives in infectious insects prone area Character Mobile device