Unfortunately, this tool has not been validated or evaluated for its effectiveness. Another study on the effect of SIRS on outcomes was conducted by Fachet et al., where machine learning was used to determine the immunological patterns of the development of SIRS, pneumonia, and sepsis [31]. ...
Clinical findings (symptoms, signs, and supplementary investigations) are part of arguments used in clinical decision-making (CDM) to select and create diagnosis. For example,dysphagiaanddyspepsiarefer to unclear collections of clinical findings. The present work separates arguments from diagnostic conclusi...
A pilot study for development of a novel tool for clinical decision making to identify fallers among ophthalmic patients This study proposes a method to discriminate fallers and non-fallers among ophthalmic patients, based on data-mining algorithms applied to health and socio... P Melillo,A Orri...
sensors Review A Review of Indirect Tool Condition Monitoring Systems and Decision-Making Methods in Turning: Critical Analysis and Trends Mustafa Kuntog˘ lu 1 , Abdullah Aslan 2, Danil Yurievich Pimenov 3,* , Üsame Ali Usca 4 , Emin Salur 5, Munish Kumar Gupta 3,6...
et al. Evaluating the Performance of Multi-criteria Decision-making Techniques in Flood Susceptibility Mapping. Journal of the Geological Society of India, 2023, 99(11): 1549-1562. DOI:10.1007/s12594-023-2507-6 35. Razavi-Termeh, S.V., Sadeghi-Niaraki, A., Choi, S.-M. A new ...
A knowledge-based CDSS, such as the one presented in this study, might be a tool to reliably label large retrospective data sets to make them available for machine learning training purposes. This is of particular interest, because SIRS-labeled training data for pediatric patients are currently ...
In this study, three machine learning methods, namely, LASSO, RF and GBM, together with the frequently used LR method were used to develop in-hospital mortality prediction models. In addition, the established scoring tool, SAPS II, was employed for the prediction. A brief introduction of the ...
Therefore, we established a simple website-based risk prediction tool using demographic and clinical variables to evaluate the probability of PEP in non-eldly patients with CBDs, aid in clinical decision making, and ultimately improve more patients to benefit from the model. Our purpose is to ...
It is the most widely used tool for predicting PU risk in the United States, and contains 6 predominantly skin-related criteria, namely, sensory perception, moisture, activity, mobility, nutrition, and friction & shear. Despite its widespread use, our studies found that while Braden scale is ...
Risk assessment is an important part of risk management, which is a tool designed to support all aspects of decision-making from the beginning to the end of a process. Various risk assessment tools have been widely used in tunnel and underground engineering, including event tree analysis [6],...