Journal of Forensic Medicine

Department of Medical Oncology, Clínica Universidad De Navarra, Navarra, Spain

Publications

• Mini Review   
  Forecasting Serious Hematological Toxicity in Patients with Gastrointestinal Cancer Undergoing Chemotherapy based on 5-FU: An Application of Bayesian Network Modeling
  Author(s): Oskitz Ruiz Deza*
  
  Approximately 30% of patients with gastrointestinal cancer undergoing 5-Fluorouracil (5-FU)-based chemotherapy experience severe toxicity. Presently, there is a dearth of effective tools for identifying individuals at risk within this context. This study aims to fill this gap by constructing a predictive model using a Bayesian network, a robust probabilistic graphical model known for its interpretable predictions. Employing a dataset encompassing 267 gastrointestinal cancer patients, the data underwent preprocessing and was partitioned into TRAIN and TEST sets in an 80%:20% ratio. Variable importance was assessed using the RandomForest algorithm, employing the MeanDecreaseGini coefficient. The Bayesian network model was designed using the bnlearn R library, utilizing a 10-fold cross-validation on the TRAIN set, and optimizing the network structure w.. Read More»
  DOI: 10.37421/2472-1026.2023.8.212

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