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Insights into Imaging

Table 6 Characteristics of ML-based predictive model of HCC patients after treatment of sorafenib

From: Current updates in machine learning in the prediction of therapeutic outcome of hepatocellular carcinoma: what should we know?

Author

Study type

No. of patients

Model

Outcomes

C-index

Conclusion

Choi [22], 2017

Retrospective Single center

480

LR

TTP and OS

D: 0.669 (TTP)

0.809 (OS)

V: 0.746 (TTP)

0.875 (OS)

The prognostic factors selected by RF algorithm were used to develop an excellent predictive model by LR approach for the prediction of therapeutic outcome after sorafenib

  1. ML machine learning, HCC hepatocellular carcinoma, LR logistic regression, TTP time to progression, OS overall survival, D development cohort, V validation cohort, RF random forest
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