Medical decision support system for cancer treatment in precision medicine in developing countries
作者：
Highlights：
• Digging drugs’ potential feature and studying personalized experiment for drug plan.
• Learning suitable medication model via the analysis of NSCLC patients’ history data.
• Proposing a prediction method for assessing the efficacy of all drug combinations.
• The decision extracted feature depth representations by efficacy evaluation matrix.
• By evaluation results assist the doctor to analyze better and evaluate the disease.
摘要
•Digging drugs’ potential feature and studying personalized experiment for drug plan.•Learning suitable medication model via the analysis of NSCLC patients’ history data.•Proposing a prediction method for assessing the efficacy of all drug combinations.•The decision extracted feature depth representations by efficacy evaluation matrix.•By evaluation results assist the doctor to analyze better and evaluate the disease.
论文关键词：Auxiliary treatment methods,Efficacy analysis,Classification prediction,Intelligence expert system
论文评审过程：Received 14 October 2020, Revised 26 June 2021, Accepted 3 August 2021, Available online 12 August 2021, Version of Record 18 August 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.115725
