Results 91 to 100 of about 2,873,804 (259)
A Facial Foundation Model for Clinical Biomarker Prediction and Real‐World Mobile Deployment
Advanced Science, EarlyView.MedicalFaceFound is a facial foundation model developed through three‐stage progressive pre‐training, adapting representations from general vision to facial structure and clinical phenotypes. Using a single facial image, it estimates 62 biomarkers across multiple physiological systems and supports downstream risk prediction for cardiovascular ...
Tingfeng Xu +15 more
wiley +1 more source
Mapping the results of local statistics [PDF]
The application of geographically weighted regression (GWR) – a local spatial statistical technique used to test for spatial nonstationarity – has grown rapidly in the social, health and demographic sciences.
Stephen Matthews, Tse-Chuan Yang
core
Gut Microbial Topology and Metabolic Signatures Associated With Colorectal Neoplasia
Advanced Science, EarlyView.The gut microbiota organizes into two robust association patterns linked to colorectal neoplasia risk. Topological shifts in microbial networks are associated with metabolite alterations and may shape host responses during disease development. ABSTRACT Alterations of gut microbial communities impact health.
Kai Song +13 more
wiley +1 more source
On the Use of Geographically Weighted Count Models
, 2021 The past years have experienced growth in the methodological development that intend to explore spatial nonsationarity for spatially count data based on the technique of geographically weighted regression.
Chen, Vivian Yi-Ju
core
KONSTRUKSI UJI KESESUAIAN MODEL GEOGRAPHICALLY WEIGHTED POLYNOMIAL REGRESSION [PDF]
, 2018 Geographically Weighted Polynomial Regression (GWPolR) is a generalization of Geographically Weighted Regression (GWR) model. By using the generalization, GWPolR has parameters much more than GWR model.
Chamidah, Nur
core +1 more source
Advanced Science, EarlyView.This Review critically connects structural recalcitrance, molecular modeling, solvent and catalyst design, pyrolysis, machine learning, reactor simulation, and FAIR digital infrastructure. Emphasis is placed on experimentally validated information transfer across scales, uncertainty and applicability domains, and the recycle, durability, techno ...
Abdullahi Bello Umar +9 more
wiley +1 more source
BAYESIAN GEOGRAPHICALLY WEIGHTED REGRESSION DALAM PEMODELAN ANGKA INCIDENCE RATE
Euclid, 2018 Dalam dunia kesehatan angka incidence rate dikenal sebagai angka yang menunjukkan jumlah penderita baru suatu penyakit dalam periode waktu tertentu dibandingkan atas populasi yang beresiko pada periode waktu tersebut.
I Gede Nyoman Mindra Jaya +1 more
doaj
PEMODELAN DATA KEMATIAN BAYI DENGAN GEOGRAPHICALLY WEIGHTED NEGATIVE BINOMIAL REGRESSION
Media Statistika, 2016 Overdispersion phenomenon and the influence of location or spatial aspect on data are handled using Binomial Geographically Weighted Regression (GWNBR).
Riza F. Ramadhan, Robert Kurniawan
doaj +1 more source
Bias Correction in Logarithmic Regression and Comparison with Weighted Regression for Nonlinear Models [PDF]
, 2011 Non-linear models with heteroscedasticity are commonly used in ecological and forestry modeling, and logarithmic regression and weighted regression are usually employed to estimate the parameters. Using the single-tree biomass data of three large samples,
Wei Sheng Zeng, Shou Zheng Tang
core +1 more source
Advanced Science, EarlyView.Across six multinational cohorts, higher triglyceride–glucose index values are consistently associated with lower prevalent and incident anemia, despite their established adverse cardiometabolic significance. This inverse relationship varies across inflammatory, cardiovascular, and renal contexts, suggesting that glucose–lipid metabolic status carries ...
Guosong Jiang +13 more
wiley +1 more source