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Table 3 Comparison of the reviewed articles regarding the population size and data acquisition methods

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

References

Population size

Data Acquisition method

 [29]

7001 records, 350 patients

Telemonitoring data

 [30]

3470 records, 174 patients

Telemonitoring data

 [35]

Random generated dataset with size 130,000 text

Randomly generated text

 [24]

Asthma Learning Healthcare System (ALHS) dataset includes 500,000 individuals

Historical data

 [33]

50 ED visits, 3768 tweets

Twitter data, Google search interests, and ED data from hospital

 [26]

25,401

ED visits Historical data+ Health records

 [27]

100,000

ED visits

 [28]

18,409

ED visits

 [34]

168,825

EMR

 [31]

33 participants

Historical data+ MS

 [23]

1 participant

Physiological and environmental wireless sensors

 [36]

32 participants

Historical data+ MS

 [25]

3 participants in 80 different situations

Historical data+ MS

 [37]

IoT Sensors

 [32]

Personal sensor