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Application of Artificial Intelligence Techniques for the Estimation of Basal Insulin in Patients with Type I Diabetes
Published 2020-01-01“…We then evaluated the agreement between predicted and actual values using several statistical error measurements: mean absolute error (MAE), mean square error (MSE), root-mean-square error (RMSE), Pearson’s correlation coefficient (R), and determination coefficient (R2). …”
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1722
Research structure of abstracts on women’s health presented in a brazilian nursing congress
Published 2007-02-01“…The results revealed that among the summaries 62.3% were complete, 29.5% were incomplete type I and 8.2% were incomplete type II. The conclusion is that the research summaries presented error flaws in its elaboration, repeating the presence of summaries badly elaborated already verified in other recent studies. …”
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1723
La reconstrucción del compás del Duque de Béjar (1677)
Published 2025-07-01“…De las 10 operaciones susceptibles de análisis estadístico, se encuentra una dispersión del 1,574% ±1,509%. Como conclusión, se estable que el error de la construcción del instrumento y sus seis líneas de cálculo es del 1,416%.…”
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1724
Wilson’s Disease, Etiology and Treatment
Published 2025-01-01“…After that the patient was diagnosed with Wilson disease and treated with D-penicillamine drug (copper chelation) and zinc acetate tablet. Conclusion: Wilson’s disease is a metabolic error of copper, if undetected and untreated immediately, it causes declining in the function of many organs, such as the liver and brain.…”
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1725
METHODOLOGICAL JUSTIFICATION AND ANALYTICAL SUPPORT FOR CASH FLOW FORECASTING
Published 2021-01-01“…The average value of the relative error exceeded 5%. Checking the randomness of the levels of the residual component based on the turning point criterion made it possible to characterize the constructed model as adequate, make a forecast for the coming year, and identify the main tools for improving the efficiency of cash flow management.…”
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1726
The environment monitoring system of cellar based on fuzzy PID control
Published 2023-04-01“…Results: The maximum deviation between the measured temperature and the set temperature by the fuzzy PID control algorithm is 0.25 ℃, the overshoot is 1.6%, and the error is within 5% by comparing the manual measurement data with the data collected by the monitoring system. …”
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1727
Intramuscular plane for breast augmentation with a silicone implant
Published 2022-03-01“…We had a case of seroma in the postoperative period caused by a technical error in separating the fascicles.Conclusion: The technique is safe and has a low incidence of complications.…”
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1728
DEVELOPMENT AND STUDY OF THE OPERATION OF THE MODULE FOR DETERMINING THE ORIENTATION OF THE MANIPULATOR JOINT
Published 2022-06-01“…The calculated measurement error was less than 1.4 degrees. The results of the experiment also showed that in addition to the radial direction of movement of the gearbox of the manipulator joint there is a significant displacement along the working plane, and in some cases, such displacements are chaotic. …”
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1729
A first-of-its-kind two-body statistical shape model of the arthropathic shoulder: enhancing biomechanics and surgical planning
Published 2025-06-01“…Results The scapula and proximal-humerus models performed comparably to previous studies with median average leave-one-out cross-validation errors of 1.08 mm (IQR: 0.359 mm), and 0.521 mm (IQR: 0.111 mm); the combined model was similar with median error of 1.13 mm (IQR: 0.239 mm). …”
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1730
Red blood cell transfusion strategy in traumatic brain injury patients: a systematic review and meta-analysis
Published 2025-04-01“…Conclusions In critically ill patients with TBI, a liberal RBCT strategy appears to improve functional outcomes but carries the risk of false positive errors. …”
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1731
Solving Steady-state Mono-energy Neutron Diffusion Solution Set with Parameterized Physics-informed Neural Network
Published 2024-06-01“…When compared with the reference solution, the relative error of the single-region three-physical-parameter example can reach 0.07%, the double-region five-physical-parameter example can reach 1%, and the triple-region three-physical-parameter example can reach 2%. …”
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1732
Sourceless efficiency calibration method for γ spectrum based on numerical analysis
Published 2024-09-01“…Finally, detection efficiency obtained by numerical calculation was compared with that of MC simulation to verify the efficiency of proposed sourceless efficiency calibration method for γ spectrum.ResultsCompared with the MC simulation results, the maximum error of numerical calculation does not exceed 3.5%, and the maximum relative errors of the point source efficiency, surface source efficiency and volume source efficiency are 3.26%, 3.33% and 3.36%, repectively, which proves the reliability and accuracy of the numerical analysis method in calculating the detection efficiency.ConclusionsThe passive efficiency calibration method proposed in this study is accurate and fast, avoids complicated MC simulation software, which tends to be difficult to understand and operate. …”
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1733
A model for estimating economic loss attributable to incorrect microbiological diagnosis of antimicrobial resistance and irrational antimicrobial use
Published 2025-03-01“…Based on the developed model, with the specified parameters, a cohort of 1000 patients and a 10% error rate yields direct inpatient costs exceeding 1,7 million rubles, while total loss reaches 18,94 million rubles. …”
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1734
Digital and artificial intelligence-assisted cephalometric training effectively enhanced students’ landmarking accuracy in preclinical orthodontic education
Published 2025-04-01“…Results Digital cephalometric training, through real-time feedback and visual error-correction mechanisms, enabled students to quickly identify and correct errors in landmarking, significantly improving their accuracy. …”
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1735
Removing Cardiac Artifacts From Single-Channel Respiratory Electromyograms
Published 2020-01-01“…No algorithm completely removes the cardiac interference, but the characteristic errors introduced by the considered algorithms differ. …”
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1736
Optimizing Clinical Decision Support System Functionality by Leveraging Specific Human-Computer Interaction Elements: Insights From a Systematic Review
Published 2025-05-01“…Incorporating these elements into system design can improve user satisfaction, reduce data errors, and enhance the accuracy of medical decisions. …”
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1737
Algorithm for designing load-bearing structures of a multi-storey building using the visual programming environment DYNAMO STUDIO
Published 2023-02-01“…This makes it possible to avoid a wide range of design errors, which in the future will not lead to corresponding problems during the construction phase of the facility. …”
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1738
Development of a customised data management system for a COVID-19-adapted colorectal cancer pathway
Published 2021-03-01“…Data validation and conditional formatting minimised data entry errors. Computation by the COUNT function facilitated live data monitoring.Conclusion It is possible to rapidly implement a makeshift database system with clinicians’ regular input. …”
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1739
Effect of Communication Skills on Patient Safety among Surgical Team Members in Operating Room: A Qualitative Study
Published 2022-04-01“…Introduction:Improvement of communication skills and all activities among the surgical team members during the operations can accelerate the patient safety (PS) and reduce the rate of surgical errors (SEs). Besides, the real impact of communicational skills on PS needs more attention. …”
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1740
Prediction of properties of electroless nickel plating with diamond powder based on artificial neural network
Published 2025-04-01“…In predicting the performance of electroless nickel plating on diamond micro powders, the predictive performance of GRNN is superior to that of BP neural network.ConclusionsThe prediction error values of BP neural network and GRNN for the chemical plating performance of diamond micropowder are both less than 10.00%, which proves that they can be used to predict the relevant results and reduce the number of experiments to obtain optimal process parameters. …”
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