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Table 2 Example of the predicted results of our system

From: Design, implementation, and evaluation of the computer-aided clinical decision support system based on learning-to-rank: collaboration between physicians and machine learning in the differential diagnosis process

 

Inputted symptoms

  

Score

Predicted diseases

a

Fever

 

1

1.61

Acute HIV-1 infection

b

Headache

 

2

1.51

Polyneuropathy

c

Sore throat

 

3

0.91

Acute viral meningitis

d

Consciousness indistinctness

 

4

0.88

West Nile fever

e

Chills

 

5

0.77

Cat-scratch disease

f

Muscles ache

 

6

0.46

Acute Q fever

g

Swallowing pain

 → 

7

0.23

Hepatitis A

h

Pharyngolaryngeal abnormality

 

8

0.21

Chronic fatigue syndrome

i

Aphasia

 

9

0.13

Sepsis

j

Apraxia

 

10

0.12

Toxoplasmosis

k

Fatigue

   

l

Muscle weakness

    

m

Anorexia

    

n

Weight loss

    

o

Dementia

    
  1. For details, see: “Difficult-to-diagnose case with few characteristic symptoms” section