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Table 2 Averages and standard deviations of the rmse on the validation set of 100 separate runs of the non-gated and gated model for the health measure tested and the mean values for these measures. In bold are the health measures for which the models were able to make successful predictions (rmse < mean/3)

From: Novel approach to analysis of the immune system using an ungated model of immune surface marker abundance to predict health outcomes

 

Continuous

Gated

Mean

 

rmse

std rmse

rmse

std rmse

 

Age

8.705

0.336

13.732

0.961

67.105

  Mortality

0.255

0.022

0.264

0.022

0.058

  Religion

2.208

0.104

2.335

0.109

2.260

Self-assessed Health

0.840

0.030

0.961

0.046

3.072

  Frailty

1.154

0.048

1.302

0.057

0.830

MMSE

3.344

0.332

4.497

0.308

27.835

  Comorbidity

1.982

0.101

2.291

0.127

2.322

  High blood Pressure

0.616

0.029

0.679

0.034

0.432

  High cholesterol

0.626

0.024

0.714

0.037

0.464

  Diabetes

0.413

0.026

0.481

0.034

0.136

  Stroke

0.234

0.020

0.243

0.02

0.040

  Heart attack

0.277

0.021

0.305

0.025

0.053

  Atrial fibrillation

0.220

0.022

0.234

0.017

0.034

  Eye problem

0.594

0.022

0.611

0.032

0.301

  Asthma

0.263

0.020

0.298

0.032

0.049

  Arthritis

0.428

0.022

0.481

0.023

0.141

  Osteoporosis

0.277

0.035

0.301

0.027

0.049

  Gastrointestinal problem

0.352

0.026

0.367

0.037

0.088

  Thyroid problem

0.275

0.027

0.287

0.027

0.049

  Cancer

0.219

0.025

0.216

0.017

0.034

  Depression

0.214

0.020

0.241

0.047

0.032