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Development and internal validation of a deep learning algorithm for intraoperative arterial pressure-based stroke volume index estimation in children: a single-center retrospective study. [PDF]

BMC Med Inform Decis Mak
Yang HL, Jang YE, Jung CW, Kim HS, Kim EH, Ji SH, Kim MS, Lee HC.   +7 more
europepmc   +1 more source

Deep Learning for Age Estimation and Sex Prediction Using Mandibular-Cropped Cephalometric Images: Comparative Model Development and Validation Study. [PDF]

JMIR AI
Handayani VW, Margaretha Amiatun Ruth MS, Rulaningtyas R, Kurniawan A, Yudhantorro BA, Yudianto A.   +5 more
europepmc   +1 more source

Time-Series Analysis and Age-Stratified Forecasting of Diarrheal Disease in Rwanda Using SARIMA Models. [PDF]

Trop Med Infect Dis
Benimana TD, Habimana M, Harerimana JD, Mugabo E, Sebakunzi T, Niyonshuti P, Rwema V, Semakula M, Hwang SS.   +8 more
europepmc   +1 more source

Estimation of positron emission tomography amyloid load and related biomarkers in Alzheimer's disease using evoked potential tomography EEG: development and internal validation in a cross-sectional cohort. [PDF]

Alzheimers Res Ther
Rauchmann BS, Hamet J, Lai J, Kafi H, Rexwinkle J, Brendel M, Franzmeier N, Kurz C, Pogarell O, Levin J, Höglinger G, Perneczky R.   +11 more
europepmc   +1 more source

Automated segmentation and quantitative measurement of cervical nerves in ultrasound images using an SZJ-SEG-based deep learning framework. [PDF]

Quant Imaging Med Surg
Zhang Z, Cao W, Luan H, Lin J, Zhu X, Yan Z, Wang J, Zhang H, Guo R, Bai Z.   +9 more
europepmc   +1 more source

A global dataset of onshore wind turbines with site-specific historical (1989-2018) and future (2030-2059) wind resources across 89 countries. [PDF]

Sci Data
Jung C, Schindler D.
europepmc   +1 more source

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Applicability of the Revised Mean Absolute Percentage Errors (MAPE) Approach to Some Popular Normal and Non-normal Independent Time Series

International Advances in Economic Research, 2009
Commonly used Mean Absolute Percentage Errors (MAPE) and the authors’ revised Mean Absolute Percentage Errors (RMAPE) are applied to measure the forecasting accuracy from different Moving Average Methods for independent time series. Simulation results show that both MAPE and RMAPE can only provide sensitive forecasting accuracy measurements on Moving ...
Louie Ren, Yong Glasure
openaire   +3 more sources