Against Futility Judgments for Patients with Prolonged Disorders of Consciousness by William Choi

“…The unreliability of current bedside methods to determine consciousness and the inconsistent clinical trajectory of prolonged disorders of consciousness create considerable room for error in making predictions about the patient’s course of recovery. …”
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Group discussions improve reliability and validity of rated categories based on qualitative data from systematic review. by Jutta Beher, Eric Treml, Brendan Wintle

“…Scientists conduct systematic literature reviews with the aim of drawing conclusions based on the content of a representative sample of publications. …”
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Analyzing and forecasting under-5 mortality trends in Bangladesh using machine learning techniques. by Shayla Naznin, Md Jamal Uddin, Ishmam Ahmad, Ahmad Kabir

“…Key metrics, including Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), R-squared, and Mean Absolute Percentage Error (MAPE), were employed to evaluate model performance. …”
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A CROSS-SECTIONAL STUDY ON MARBLE WORKERS: OCCUPATIONAL EYE HEALTH PROBLEMS AND RISK FACTORS by İbrahim Ethem Ay, Seher Palanbek Yavaş, Caner Baysan

“…Conclusions: Pterygium and refraction error were determined at a significantly high rate in marble quarry workers. …”
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NeuMoDx random access molecular diagnostic system for detection and quantification of hepatitis B virus in clinical samples by Ayse Arikan, Murat Sayan, Osman Doluca

“…The relative absolute error analysis for artus showed relatively less and more consistent error rate. …”
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Automatic assessment of lower limb deformities using high-resolution X-ray images by Reyhaneh Rostamian, Masoud Shariat Panahi, Morad Karimpour, Alireza Almasi Nokiani, Ramin Jafarzadeh Khaledi, Hadi Ghattan Kashani

“…The landmark estimations are modified iteratively via the error feedback method to come closer to the target. …”
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Impact of Hypertension and Antihypertensive Treatment on COVID-19 Severity: A Retrospective Observational Study in Ternopil Region, Ukraine [Corrigendum] by Hrebenyk M, Maslii S, Shevchuk O, Komorovsky R, Korda M

“…As a result, the frequencies of individual complications were misrepresented. This error does not affect the results described in the main text or the conclusions of the study. …”
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Effect of Articular Needling Therapy Combined with Proprioceptive Training on Patients with Knee Osteoarthritis by CHEN He, LI Xuemei, KUANG Xuehui, YU Jin

“…Compared with the control group, VAS score, WOMAC and average trajectory error of the affected limb of the observation group after treatment were lower, while BBS score was significantly higher, the difference was statistically significant (P<0.05).ConclusionsArticular needling therapy combined with proprioceptive training can effectively improve pain of knee joint, knee joint function, and balance function of lower limb of KOA patients.…”
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Using the SEIQR model with epidemic amplifier effect to predict the final outbreak size of the COVID-19 in Dalian, Liaoning province, China. by Qingyu An, Jun Wu, Wen Hui Chen

“…The mean absolute relative error(MARE), root mean squared error(RMSE) and mean absolute error(MAE) were used to assess the predictive capacity of the model.…”
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Algorithmic Support of Adaptive Automatic Control Systems with Data Compression by V. V. Alekseev, E. M. Antonyuk, I. E. Varshavskiy

“…An analysis of the graphs of the error associated with multi-channelling showed that the automatic control systems based on parallel-sequential operational algorithms are invariant to the law of distribution of input quantities, compared to the systems based on asynchronous-cyclic operational algorithms.Conclusions. …”
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Highway subgrade stability prediction model based on depth separation convolutional fusion network by Yubian Wang

“…Then, according to the contribution, we update each neuron’s weight to reduce the error gradually and improve the accuracy of the output result. …”
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Medium- Long-Term Runoff Forecasting Using Interpretable Hybrid Machine Learning Model for Data-Scarce Regions by YOU Yu-jun, BAI Yun-gang, LU Zhen-lin, ZHANG Jiang-hui, CAO Biao, LI Wen-zhong, YU Qi-ying

“…As the predication period increased, the proposed model achieved a root mean square error (RMSE) of 2.11 m3/s, a mean absolute error (MAE) of 1.32 m3/s, a mean absolute percentage error (MAPE) of 73.76%, and a Nash-Sutcliffe efficiency (NSE) coefficient of 0.94. …”
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A Deep Learning Framework for Using Search Engine Data to Predict Influenza-Like Illness and Distinguish Epidemic and Nonepidemic Seasons: Multifeature Time Series Analysis by Ji Li, Xiangyu Yan, Xingjie Chu, Ying Zhang, Guoliang Liu, Lin Li, Yue Li, Xiaochun Dong, Zihan Mei, Zhengkun Liu, Jinyue Yuan, Xiaohan Sun, Chunxia Cao

“…Meanwhile, the prediction of ILI% after dividing the epidemic and nonepidemic seasons (mean absolute percentage error [MAPE]=10.730%, mean square error [MSE]=0.884, mean absolute error [MAE]=0.649, root-mean-square error [RMSE]=0.940, and R2R2R2 ConclusionsThis study shows strong potential for influenza prediction by combining Baidu index data with traditional surveillance and specific keywords for epidemic and nonepidemic seasons. …”
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Dimensional accuracy of 3D-printed surgical cutting guides after hospital sterilization: a comparative evaluation of ten MEX materials by Diana Popescu, Mariana Cristiana Iacob, Rodica Marinescu

“…Autoclave sterilization determined severe deformation in most materials, with PC showing unexpectedly changes of the geometrical form, increasing in RMS error from 0.127 mm to 3.642 mm. In the as-printed state, maximum error remained below 0.29 mm for all materials, with PLA having the highest localized deviation (0.283 mm). …”
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Concurrent Validity and Reliability of a Free Smartphone Application for Evaluation of Jump Height by Amândio Dias, Paulo Pires, Leandro Santana, Paulo Marques, Mário C. Espada, Fernando Santos, Eduardo Jorge Da Silva, André Rebelo, Diogo S. Teixeira

“…However, it presents a slight estimation error when compared to the contact platform.…”
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Open-access ultrasonic diaphragm dataset and an automatic diaphragm measurement using deep learning network by Zhifei Li, Lin Mao, Fan Jia, Shaohui Zhang, Cuiping Han, Shuiqiao Fu, Yueying Zheng, Yonghua Chu, Zuobing Chen, Daming Wang, Huilong Duan, Yinfei Zheng

“…Results Automatic measurement results are compared against manual assessments conducted by clinicians, revealing an average error of 8.12% in diaphragm thickening fraction measurements and a mere 4.3% average relative error in diaphragm excursion measurements. …”
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Determination of a Similar Anatomical Area on a Chest CT Image Using Traditional Image Feature Extraction Methods by A. A. Kosareva, P. V. Kamlach, V. A. Kovalev

“…It is determined that the optimal signs on the lungs correspond to the presence of organs: heart, liver and top edge of the lung. Conclusions are fomulated about the need to use neural network methods to improve the error in determining the similar layer containing the necessary anatomical structure.…”
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Incorporating external controls in the design of randomized clinical trials: a case study in solid tumors by Emily M. Damone, Jiawen Zhu, Herbert Pang, Xiao Li, Yinqi Zhao, Evan Kwiatkowski, Lisa A. Carey, Joseph G. Ibrahim

“…Conclusions By following the proposed hybrid control framework, one can design a hybrid control trial transparently and accounting for differences between control groups while controlling type-1 error and still achieving efficiency gains from the additional contribution from external controls.…”
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Evaluation of Choroidal Thickness in Normal Eyes Using Enhanced Depth Optical Coherence Tomography by Harish, Shalini Singh, Manisha Agarwal, Rahul Mayor, Ramesh Venkatesh, Lokesh Chauhan

“…Conclusions: Choroidal thickness varies with the distance from the fovea. …”
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Desire-Based Theories of Reasons and the Guise of the Good by Kael McCormack

“…The intuitive datum is that often when an agent desires P she will seem to immediately and conclusively know that there is a reason to bring P about. …”
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