Results 61 to 70 of about 10,309 (278)

Assessment of land use and cover in the Sucuru Watershed using Google Earth Engine

Revista Verde de Agroecologia e Desenvolvimento Sustentável, 2022
Human activities modify the natural characteristics of numerous watersheds worldwide. Google Earth Engine provides tools for the analysis of land use and natural resources.
José Hugo Simplicio de Sousa, Amanda Rezende Moreira, Abdalan Andrade do Nascimento, George do Nascimento Ribeiro, Jose Nunes de Oliveira Neto, Leonardo Souza do Prado Júnior   +5 more
doaj  

Decision trees in epidemiological research

Emerging Themes in Epidemiology, 2017
Background In many studies, it is of interest to identify population subgroups that are relatively homogeneous with respect to an outcome. The nature of these subgroups can provide insight into effect mechanisms and suggest targets for tailored ...
Ashwini Venkatasubramaniam, Julian Wolfson, Nathan Mitchell, Timothy Barnes, Meghan JaKa, Simone French   +5 more
doaj   +1 more source

Application of machine learning models based on decision trees in classifying the factors affecting mortality of COVID-19 patients in Hamadan, Iran

BMC Medical Informatics and Decision Making, 2022
Background Due to the high mortality of COVID-19 patients, the use of a high-precision classification model of patient’s mortality that is also interpretable, could help reduce mortality and take appropriate action urgently.
Samad Moslehi, Niloofar Rabiei, Ali Reza Soltanian, Mojgan Mamani   +3 more
doaj   +1 more source

Machine Learning Modeling of Drill Cuttings Transport Based on Computational Fluid Dynamics Simulation Data

Energy Science &Engineering, EarlyView.
Machine learning surrogates accurately predict drill cuttings transport from computational fluid dynamics data, with Reynolds number dominating system behavior. While tree‐based models excel in accuracy, Gaussian process regression provides physically consistent, smooth predictions essential for reliable drilling simulations.
Kathrin Skinder, Mostafa M. Abdelhafiz, Khizar Shahid, Gunther Brenner   +3 more
wiley   +1 more source

Use of natural language processing to extract uterine weight from pathology reports

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Introduction For patients requiring hysterectomy, uterine weight is an important factor affecting surgical complexity and surgical outcomes. However, uterine weight is not readily available for analysis in administrative databases. In the present study, we use natural language processing to extract uterine weight from narrative pathology text.
Steven Habbous, Alinah Surani, Ally Murji, Erik Hellsten   +3 more
wiley   +1 more source

KLASIFIKASI KARAKTERISTIK KECELAKAAN LALU LINTAS DI KOTA DENPASAR DENGAN PENDEKATAN CLASSIFICATION AND REGRESSION TREES (CART)

E-Jurnal Matematika, 2015
The aim of this research is to determine the classification characteristics of traffic accidents in Denpasar city in January-July 2014 by using Classification And Regression Trees (CART).
I GEDE AGUS JIWADIANA, I KOMANG GDE SUKARSA, I GUSTI AYU MADE SRINADI   +2 more
doaj  

Deniers and Compliers: Unpacking the Heterogeneous Effectiveness of U.S. Stay‐at‐Home Mandates During the COVID‐19 Pandemic

Journal of Applied Econometrics, EarlyView.
ABSTRACT While existing work shows COVID‐19 stay‐at‐home (SAH) policies decreased mobility on average, we lack evidence regarding heterogeneity in policy effectiveness across US counties. To uncover potential heterogeneity, we implement a novel two‐stage approach.
James Sears, Sofia B. Villas‐Boas, Molly Sears, Carly Trachtman, Linlin Fan, Andrew W. Stevens   +5 more
wiley   +1 more source

Hybrid Machine Learning–Geostatistical Modeling of Soil Quality in Saline–Sodic Soils Under Arid Agroecosystems of Northwestern Peru

Journal of Plant Nutrition and Soil Science, EarlyView.
ABSTRACT Background Soil fertility management in mango and banana production systems in northern Peru is limited by marked spatial heterogeneity, driven by chemical imbalances, particularly salinity, alkalinity, and sodicity. Aim This study developed a spatial predictive framework to assess soil quality across the agricultural area of Morropón Province,
Sebastian Casas‐Niño, Gerson La Rosa Lama, Sharon Mejia, Ruth Mercado, Kenyi Quispe   +4 more
wiley   +1 more source

Advancing Artificial Intelligence in Myopia Management: From Predicting Progression to Supporting Clinical Decisions

Med Research, EarlyView.
The AI‐enabled multimodal framework for whole‐life myopia management. Graphical abstract illustrates the transition of myopia care from premyopia to myopia, high myopia, and pathologic myopia. Multimodal data, including demographic and refractive information, genetic, behavioral and environmental factors, ophthalmic imaging, and omics profiles, can be ...
Zewei Zhang, Yun Wang, Lifei Zhang, Dongmei Chen, Weijie Zhang, Fang Li, Jibo Zhou   +6 more
wiley   +1 more source

Weight trimming and propensity score weighting.

PLoS ONE, 2011
Propensity score weighting is sensitive to model misspecification and outlying weights that can unduly influence results. The authors investigated whether trimming large weights downward can improve the performance of propensity score weighting and ...
Brian K Lee, Justin Lessler, Elizabeth A Stuart   +2 more
doaj   +1 more source