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Article
A reinforcement learning-based optimal control approach for managing an elective surgery backlog after pandemic disruption
Contagious disease pandemics, such as COVID-19, can cause hospitals around the world to delay nonemergent elective surgeries, which results in a large surgery backlog. To develop an operational solution for pr...
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Article
Open AccessMachine learning approaches for the prediction of postoperative complication risk in liver resection patients
For liver cancer patients, the occurrence of postoperative complications increases the difficulty of perioperative nursing, prolongs the hospitalization time of patients, and leads to large increases in hospit...
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Article
Open AccessRisk factors associated with postoperative complications after liver cancer resection surgery in western China
Postoperative complications increase the workload of nursing staff as well as the financial and mental distress suffered by patients. The objective of this study is to identify clinical factors associated with...
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Article
A unique solution for principal component analysis-based multi-response optimization problems
A procedure to find a unique solution for multi-response optimization problems based on indexing is presented. The procedure utilizes principal component analysis to map the original data to a new vector of co...
