Results 11 to 20 of about 23,967,054 (309)

U-Net-LSTM: Time Series-Enhanced Lake Boundary Prediction Model

Land, 2023
Change detection of natural lake boundaries is one of the important tasks in remote sensing image interpretation. In an ordinary fully connected network, or CNN, the signal of neurons in each layer can only be propagated to the upper layer, and the ...
Lirong Yin, Lei Wang, Tingqiao Li, Siyu Lu, Jiawei Tian, Zhengtong Yin, Xiaolu Li, Wenfeng Zheng   +7 more
semanticscholar   +1 more source

Comparing Rain Gauge and Weather RaDAR Data in the Estimation of the Pluviometric Inflow from the Apennine Ridge to the Adriatic Coast (Abruzzo Region, Central Italy)

Hydrology, 2022
Accurate knowledge of the rain amount is a crucial driver in several hydrometeorological applications. This is especially true in complex orography territories, which are typically impervious, thus, leaving most mountain areas ungauged.
Diego Di Curzio, Alessia Di Giovanni, Raffaele Lidori, Mario Montopoli, Sergio Rusi   +4 more
doaj   +1 more source

Risk prediction models [PDF]

Nephrology Dialysis Transplantation, 2013
Prognostic research focuses on the prediction of the future course of a given disease in probability terms. Prognostication is performed by clinical decision makers by using risk prediction models that allow us to estimate the probability that a specific event occurs in a given patient over a predefined time period conditional on prognostic factors ...
Tripepi G, Heinze G, Jager KJ, Stel VS, Dekker FW, Zoccali C   +5 more
openaire   +3 more sources

A diabetes prediction model based on Boruta feature selection and ensemble learning

BMC Bioinformatics, 2023
Background and objective As a common chronic disease, diabetes is called the “second killer” among modern diseases. Currently, there is no medical cure for diabetes. We can only rely on medication for auxiliary treatment.
Hongfang Zhou, Yinbo Xin, Suli Li
semanticscholar   +1 more source

External Validation of a Widely Implemented Proprietary Sepsis Prediction Model in Hospitalized Patients.

JAMA Internal Medicine, 2021
Importance The Epic Sepsis Model (ESM), a proprietary sepsis prediction model, is implemented at hundreds of US hospitals. The ESM's ability to identify patients with sepsis has not been adequately evaluated despite widespread use.
Andrew Wong, E. Otles, J. Donnelly, A. Krumm, J. McCullough, Olivia DeTroyer-Cooley, J. Pestrue, Marie Phillips, Judy Konye, C. Penoza, Muhammad Ghous, Karandeep Singh   +11 more
semanticscholar   +1 more source

Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence

BMJ Open, 2021
Introduction The Transparent Reporting of a multivariable prediction model of Individual Prognosis Or Diagnosis (TRIPOD) statement and the Prediction model Risk Of Bias ASsessment Tool (PROBAST) were both published to improve the reporting and critical ...
G. Collins, P. Dhiman, C. A. Andaur Navarro, Jie Ma, L. Hooft, J. Reitsma, P. Logullo, Andrew Beam, L. Peng, B. Van calster, M. van Smeden, R. Riley, K. Moons   +12 more
semanticscholar   +1 more source

Modelling distribution and fate of coralligenous habitat in the Northern Adriatic Sea under a severe climate change scenario

Frontiers in Marine Science, 2023
Due to their well-acknowledged capability in predicting habitat distributions, Habitat Suitability Models (HSMs) are particularly useful for investigating ecological patterns variations under climate change scenarios.
Maria Letizia Vitelletti, Elisabetta Manea, Lucia Bongiorni, Antonio Ricchi, Antonio Ricchi, Lorenzo Sangelantoni, Lorenzo Sangelantoni, Davide Bonaldo   +7 more
doaj   +1 more source

Optimizing high-resolution Community Earth System Model on a heterogeneous many-core supercomputing platform [PDF]

Geoscientific Model Development, 2020
With semiconductor technology gradually approaching its physical and thermal limits, recent supercomputers have adopted major architectural changes to continue increasing the performance through more power-efficient heterogeneous many-core systems ...
S. Zhang, S. Zhang, S. Zhang, H. Fu, H. Fu, H. Fu, L. Wu, L. Wu, Y. Li, H. Wang, H. Wang, H. Wang, Y. Zeng, X. Duan, X. Duan, W. Wan, L. Wang, Y. Zhuang, H. Meng, K. Xu, K. Xu, P. Xu, P. Xu, L. Gan, L. Gan, Z. Liu, Z. Liu, S. Wu, Y. Chen, H. Yu, S. Shi, L. Wang, L. Wang, S. Xu, W. Xue, W. Xue, W. Liu, W. Liu, Q. Guo, J. Zhang, G. Zhu, Y. Tu, J. Edwards, J. Edwards, A. Baker, A. Baker, J. Yong, M. Yuan, Y. Yu, Q. Zhang, Q. Zhang, Z. Liu, M. Li, M. Li, M. Li, D. Jia, G. Yang, G. Yang, G. Yang, Z. Wei, J. Pan, P. Chang, P. Chang, G. Danabasoglu, G. Danabasoglu, S. Yeager, S. Yeager, N. Rosenbloom, N. Rosenbloom, Y. Guo   +69 more
doaj   +1 more source

Cardiovascular complications in a diabetes prediction model using machine learning: a systematic review

Cardiovascular Diabetology, 2023
Prediction model has been the focus of studies since the last century in the diagnosis and prognosis of various diseases. With the advancement in computational technology, machine learning (ML) has become the widely used tool to develop a prediction ...
Ooi Ting Kee, Harmiza Harun, N. Mustafa, N. A. Abdul Murad, S. Chin, R. Jaafar, N. Abdullah   +6 more
semanticscholar   +1 more source

Clinical prediction models [PDF]

British Journal of Surgery, 2016
Clinical prediction models (also known as prognostic models, risk scores) are mathematical equations that relate multiple predictors (risk factors, co-variates) to the probability of having a disease or condition (diagnostic) or the probability that an event will happen in the future (prognostic).
Ranstam, J, Cook, J, Collins, G
openaire   +3 more sources