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Table 2 Predictors of subsequent events

From: Using machine learning to predict subsequent events after EMS non-conveyance decisions

The patient had subsequent event and the model predicted there will be one (n = 17)

The study group agree with model there will be subsequent event (n = 17)

Signs/symptoms

n

%

Musculoskeletal symptoms

6

35.3

Infection

3

17.6

Non-specific complaints

2

11.8

Abdominal pain

2

11.8

High blood pressure

1

5.9

Ear pain

1

5.9

Nasal bleeding

1

5.9

Frequent caller with minor problem

1

5.9

The agreement with the patient/guidance to visit primary health care or ED next or following days 76.5% of the cases (13/17)

The patient had subsequent event, but the model did not predict one (n = 20)

The study group agree with model there won't be subsequent event (n = 7)

Signs/symptoms

n

%

Frequent caller with minor problem

3

15.0

Fall due to alcohol misuse

1

5.0

Urinary catheter blocked

1

5.0

Psychological symptom

1

5.0

Allergic reaction

1

5.0

The agreement with the patient/guidance to visit primary health care or ED next or following days 0% of the cases (0/7)

The study group disagree with model there won't be subsequent event (n = 13)

Signs/symptoms

n

%

Psychological symptom

5

25.0

Musculoskeletal symptoms

3

15.0

Non-specific complaints

2

10.0

Convulsion

1

5.0

Violence/assault

1

5.0

Nausea

1

5.0

The agreement with the patient/guidance to visit primary health care or ED next or following days 76.9% of the cases (10/13)

The patients didn’t have subsequent event, but the model predicted that there will be one (n = 20)

The study group agree with model there will be subsequent event (n = 18)

Signs/symptoms

n

%

Musculoskeletal symptoms

11

55.0

Infection

2

10.0

Breathing trouble

2

10.0

Psychological symptom

1

5.0

High blood pressure

1

5.0

Diarrhoea

1

5.0

The agreement with the patient/guidance to primary health care or ED next or following days 66.7% of the cases (12/18)

The study group disagree with model that there will be subsequent event (n = 2)

Signs/symptoms

n

%

Musculoskeletal symptoms

1

5.0

Breathing trouble

1

5.0

The agreement with the patient/guidance to visit primary health care or ED next or following days 0% of the cases (0/2)

The patients didn’t have subsequent event and the model did not predict one (n = 20)

The study group agree with model there won’t be subsequent event (n = 15)

Signs/symptoms

n

%

Psychological symptom

4

20.0

Chest pain

3

15.0

Abdominal pain

2

10.0

Fall (elderly with minor conditions)

2

10.0

Musculoskeletal symptoms

1

5.0

Fall due to alcohol misuse

1

5.0

Toxic effect of carbon monoxide

1

5.0

Bicycle accident

1

5.0

The agreement with the patient/guidance to visit primary health care or ED next or following days 0% of the cases (0/15)

The study group disagree with model there won’t be subsequent event (n = 5)

Signs/symptoms

n

%

Non-specific complaints

2

10.0

Psychological symptom

1

5.0

Musculoskeletal symptoms

1

5.0

Symptoms of apoplexia

1

5.0

The agreement with the patient/guidance to visit primary health care or ED next or following days 60.0% of the cases (3/5)