2020
DOI: 10.21203/rs.3.rs-37105/v1
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Artificial Intelligence-Assisted Reduction in Patients’ Waiting Time for Outpatient Procedures: A Matched Case–Control Study

Abstract: Background: Many studies indicate that patient satisfaction is significantly negatively correlated with waiting time. A well-designed healthcare system should not keep patients waiting too long for appointment and consultation. However, in China, patients spend considerable time waiting, and the actual time spent on diagnosis and treatment in the consulting room is comparatively less.Methods: We developed an artificial intelligence (AI)-assisted module that is embedded in hospital information systems. Through … Show more

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Cited by 1 publication
(2 citation statements)
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“…The use of simple machine learning approaches is one of the strengths of this research, which despite the simplicity of the models, has reached acceptable results, but the selection of features manually is one of the weaknesses of this research. Research (39) has been a little more detailed in classification and has used three strategies (1) (sell), 0 (hold), and -1 (buy) for classification. This study considered the use of deep learning models to extract features automatically.…”
Section: Technical-based Stock Predictionmentioning
confidence: 99%
See 1 more Smart Citation
“…The use of simple machine learning approaches is one of the strengths of this research, which despite the simplicity of the models, has reached acceptable results, but the selection of features manually is one of the weaknesses of this research. Research (39) has been a little more detailed in classification and has used three strategies (1) (sell), 0 (hold), and -1 (buy) for classification. This study considered the use of deep learning models to extract features automatically.…”
Section: Technical-based Stock Predictionmentioning
confidence: 99%
“…This study considered the use of deep learning models to extract features automatically. Not mentioning the number of samples in both studies (38) and (39) makes it somewhat more difficult to review the results, and only the use of the Accuracy criterion increases the possibility of overfitting the model. In (40), featurebased solutions, fuzzy clustering, and fuzzy NN were used for price prediction.…”
Section: Technical-based Stock Predictionmentioning
confidence: 99%