Design of Intelligent Nursing Decision Support System Based on Multiattribute Decision Model

Abstract

Nursing medical histories are copied randomly, leading to the occurrence of incorrectly altered histories, and medical errors are on the rise year by year. Moreover, erroneous falsification of nursing medical history is a challenging issue that needs to be urgently addressed in domestic nursing medical history. In this manuscript, a caregiver association method, which is based on a multiattribute decision model, is proposed which is specifically designed for the caregiver association selection problem in intelligent caregiving decision making. In this mode, through the selection and modeling of key performance indicators and the design of combined weights, the purpose of regulating the priority of attributes is achieved. At the same time, a comprehensive evaluation index is designed to realize the joint optimization of multiple attributes. Simulation results show that the proposed nursing workstation can not only tradeoff the quality of nursing staff experience and system performance but also balance the distribution of nursing work and effectively reduce the association delay and system energy consumption．

Decision Support System for Optimizing Tactics and Strategies of Sports Competition Using Reinforcement Learning Algorithm

“…In [24], they developed an edge computing-based DSS for basketball movement recognition. The system utilized an RNN to analyze player movements and classify them into actions such as dribbling, passing, and shooting.…”

Design and Implementation of a Standardised Clinical Decision Support Algorithm for Fever

“…Spreckelsen et al [1] described a CDSS implemented in PDAs as a system in which a knowledge base is embedded to deliver the required knowledge and monitor given therapy plans for physicians at the point of care. Recent work on mobile clinical support systems addresses different decision support such as knowledge delivery on demand, medication consultant, therapy reminder [1][2], preliminary clinical assessment for classifying treatment categories [2][3], and providing alerts of potential drugs interactions and active linking to relevant medical conditions [4]. Studies have demonstrated that CDSS can be an efficient means for decreasing errors or omissions and improving adherence to practice guidelines.…”

Retracted: Design of Intelligent Nursing Decision Support System Based on Multiattribute Decision Model

“…This article has been retracted by Hindawi, as publisher, following an investigation undertaken by the publisher [ 1 ]. This investigation has uncovered evidence of systematic manipulation of the publication and peer-review process.…”