Table 1 Demographic and clinical information of the participants

From: A machine learning approach to predicting psychosis using semantic density and latent content analysis

 

Non-converter

Converter

p-value

Thirty participants of the training set

   

Age

21.496 ± 4.513

20.571 ± 5.623

0.294

Gender (% male)

47.82%

57.14%

0.666

Race

  

0.554

Caucasian

34.78%

14.29%

 

Black

47.82%

57.14%

 

Other

17.39%

28.57%

 

Estimated IQ

103.363 ± 15.966

97.714 ± 13.124

0.520

Medications

  

0.109

Antipsychotics

0%

14.29%

 

Antidepressants

14.35%

14.29%

 

Ten participants of the validation set

   

Age

22.810 ± 2.347

22.862 ± 3.398

0.978

Gender (% male)

100%

100%

NA

Race

  

0.533

Caucasian

40%

20%

 

Black

20%

20%

 

Other

40%

60%

 

Estimated IQ

98.60 ± 24.327

98.80 ± 10.426

0.922

Medications

  

0.549

Antipsychotics

20%

0%

 

Antidepressants

40%

40%

 
  1. Mean ± standard deviation of age in years and IQ. Also shown are the percentages of male participants, participants under the specified medications, and race. The p-values are based on t-tests and χ2 tests between Converters and Non-converters