Skip to main content

Table 6 Selection of variables in machine learning and conventional methods for osteoporosis risk of hip, neck and lumbar

From: Artificial intelligence on the identification of risk groups for osteoporosis, a general review

Variables

Machine learning method

Conventional method

SVM

RF

ANN

LR

OST

ORAI

SCORE

OSIRIS

Age

o

o

o

o

o

o

o

o

Height

o

o

o

     

Weight

o

o

o

o

o

o

o

o

Body mass index

o

o

o

     

Waist circumference

 

o

      

Pregnancy

 

o

o

     

Duration of menopause

 

o

o

     

Duration of breastfeeding

o

o

o

o

    

Estrogen therapy

o

    

o

o

o

Hyperlipidemia

o

o

 

o

    

Hypertension

o

o

      

Fracture history

  

o

   

o

o

Osteoarthritis

o

o

o

o

    

Rheumatoid arthritis

      

o

 

Diabetes mellitus

o

o

o

o

    
  1. SVM support vector machines, RF random forests, ANN artificial neural networks, LR logistic regression, OST osteoporosis self-assessment tool, ORAI osteoporosis risk assessment instrument; SCORE simple calculated osteoporosis risk estimation, OSIRIS osteoporosis index of risk