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10.1111/jcmm.13759 218

Combined research designs build on three independent literatures

By typing the physical length and height of the tissue sample, the scan count and sampling time can be checked automatically by the MassImager (version 1.0) upon completing line sequence creation

Disclosures: Chun-Ting Ho: Nothing to Disclose, Elise Chia-Hui Tan: Nothing to Disclose, Tzu-Han Ma: Nothing to Disclose, Yi-Hsiang Huang: Nothing to Disclose, Ming-Chih Hou: Nothing to Disclose, Jaw-Ching Wu: Nothing to Disclose, Chien-Wei Su: Nothing to Disclose 1843 MACHINE LEARNING-BASED DECISION-TREE MODEL DEMONSTRATING THE PROGNOSTIC VALUE OF PIVKA-II AND AFP IN PATIENTS WITH HEPATOCELLULAR CARCINOMA Chun-Ting Ho 1 Elise Chia-Hui Tan 2 Tzu-Han Ma 3 Yi-Hsiang Huang 1 Ming-Chih Hou 1 Jaw-Ching Wu 3 Chien-Wei Su 1 , 1 Taipei Veterans General Hospital, 2 China Medical University, 3 National Yang Ming Chiao Tung University Background: Protein induced by Vitamin K absence or antagonists-II (PIVKA-II) and alpha-fetoprotein (AFP) are two widely used tumor markers for the surveillance and diagnosis of hepatocellular carcinoma (HCC)

doi: 10.1159/000069943 [DOI] [PubMed] [Google Scholar] 101.Espinal-Perez LE, Moncada B, Castanedo-Cazares JP

This form of allergy testing is highly reliable, reproducible and possibly more accurate than RAST allergy tests