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Table 2 Eigenvectors corresponding to the first 3 principal components

From: An integrated machine learning-based model for joint diagnosis of ovarian cancer with multiple test indicators

Index

Number

Principal component 1

Principal component 2

Principal component 3

CA125

A1

0.616

0.237

0.043

CA15-3

A2

0.662

0.077

-0.047

CA72-4

A3

0.658

0.099

0.011

CA19-9

A4

-0.017

0.010

0.088

CEA

A5

0.191

0.005

-0.047

AFP

A6

-0.083

0.173

-0.023

SF

A7

0.263

0.260

0.215

SSC

A8

0.111

-0.015

-0.046

NLR

B1

0.037

-0.034

0.037

PLR

B2

0.173

0.646

-0.008

RDW

B3

0.687

0.082

0.094

Fib

C1

0.647

0.100

0.208

DD

C2

0.005

0.041

-0.076

\(\beta\)-HCG

D1

-0.225

-0.030

0.028

E2

D2

0.693

0.117

0.148

P

D3

0.648

0.125

0.220

LH

D4

-0.296

-0.267

-0.237

FSH

D5

0.080

0.704

0.030

AGR

E1

0.510

0.307

0.217

PA

E2

0.143

-0.059

0.014

CRP

E3

-0.162

-0.086

-0.849

FPG

E4

0.267

0.600

0.124

TG

F1

0.277

0.613

0.008

TC

F2

-0.124

-0.299

-0.079

LDL-C/HDL-C

F3

0.145

-0.004

0.854