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Table 4 Comparison of the reviewed articles regarding the used risk factors

From: Predictive models for personalized asthma attacks based on patient’s biosignals and environmental factors: a systematic review

References

 

Risk factors

 

Personal

Weather

Air pollution

 [29, 30]

PEFR, respiratory symptoms, presence of cold, sleep disturbances, medication, and physical activity

 [35]

FEV1, Lung functions, night awaking, used medication, activities, and symptoms

 [24]

Asthma severity, smoking status, PEFR, asthma attack history, medication, obesity, comorbidity, and blood eosinophil count

 [33]

Number of ED visits

PM2.5, O3, CO, and NO2

 [26]

Number of ED visits

Temperature, humidity, and barometric pressure

 [27]

Number of ED visits

Humidity and temperature

PM2.5, CO, O3, NO2, PM10

 [28]

Number of ED visits

Temperature and humidity

NO2 and Vegetation density

 [34]

Demographic data, number of asthmatic children in the selected schools, and the used medications

Temperature

PM2.5, PM10, SO2, NO2, CO, and O3

 [31]

PEFR, Nose symptom, eye symptom, skin symptom, night symptom, day symptom, fever, dermatitis, rhinitis, asthma medicine instructions, conjunctivitis

Temperature, absolute maximum and minimum temperature, and humidity

HydraCarbon,HydraCarbon2, PH, PM10 CO, SO2, O3, NO2

 [23]

PEFR and FEV 1

Temperature, precipitation intensity, wind speed, humidity, pressure, and visibility

SO2, PM2.5, CO, NO2, and PM10

 [36]

PEFR and patients’ location

Humidity, absolute maximum and minimum temperatures, average temperature, pressure, rainfall, and wind.

O3, SO2, NO2, CO, PM10

 [25]

PEFR, location, and medical history.

Temperature, barometric pressure, and humidity

PM10, NO2, CO, O3, SO2

 [37]

Food allergen

Humidity

Pollen

 [32]

Medication plan

CO, NO, dust and smoke