[Retracted] A PDCA Model for Disinfection Supply Rooms in the Context of Artificial Intelligence to Reduce the Incidence of Adverse Events and Improve the Disinfection Compliance Rate

Table 1

Comparison of literature in respect of results.

Author and reference	Technique	Results	Future directions
Bianchi et.al. [19]	RNN with time series prediction and problem of short-term load forecasting	Satisfactory results obtained with minimal fine-tuning of hyper parameters, but LSTM and GRU are not better than ERNN due to simple training and simple structure	Problem with gradient-based networks training is slower as the future direction for researchers
Liu et.al. [22]	RNNs with multiple equilibria	Factors affecting multiple equilibria, activation functions, and multistability and complete stability analysis for RNN	Seven directions are formulated for future investigations
Zhang et.al. [24]	RNN with time-varying delays	Estimating the L-K functional on GAS criteria of RNN delays	Less conservative criteria of GAS on RNN delays challenging till now
Our method	RNN with PDCA cycle	Good results by improving the rate of sterilization compliance, improved satisfaction rate, work quality, and work standardization	Hospital management facing greater challenges till now