Cox Model Survival Analysis to Evaluate Treatment of Electro-Capacitive Cancer Therapy (ECCT) for Cancer Patients

S. W. Purnami*, R. S. Putra, A. I. Edina, I. N. Pertiwi, E. Sukur, N. Soraya

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

Cancer is a disease caused by uncontrolled growth of abnormal cells in the body. Lung cancer, brain cancer and breast cancer are a deadly threat to sufferers. Cancer treatment using a therapy called Electro-Capacitive Cancer Therapy (ECCT) has received a lot of medical attention. Since 2012, the C-Tech Labs Edwar Technology Cancer Research Tangerang has applied ECCT to the therapeutic treatment more than 11,000 cancer patients. In this study, the Cox Proportional Hazard model was used to asses factors that affects survival of cancer patients. Some prognostic factors are evaluated included age of patient and type treatments such as herbs therapy, chemotherapy, radiotherapy and monitoring frequency of ECCT. The all three survival models (breast cancer, brain cancer, and lung cancer) identified the same prognostic factors. The study showed that monitoring frequency of ECCT is significant factor that influenced in cancer survival for all three survival models. Based on the Cox survival model, the hazard ratio (HR) value ranges from are 0.8 - 0.9. It means that each additional one time the frequency of monitoring, the risk of experiencing death decreased by 0.8 - 0.9 times.

Original languageEnglish
Article number012036
JournalJournal of Physics: Conference Series
Volume1863
Issue number1
DOIs
Publication statusPublished - 19 Apr 2021
EventInternational Conference on Mathematics, Statistics and Data Science 2020, ICMSDS 2020 - Bogor, Indonesia
Duration: 11 Nov 202012 Nov 2020

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