Fast and robust invariant generalized linear models

Fast and robust invariant generalized linear models

<p>Statistical integration of diverse data sources is an essential step in the building of generalizable prediction tools, especially in precision health. The invariant features model is a new paradigm for multi-source data integration which posits that a small number of covariates affect the...

Kaydedildi:

Detaylı Bibliyografya
Yazar:	Parker Knight (22683015) (author)
Diğer Yazarlar:	Ndey Isatou Jobe (22683018) (author), Rui Duan (561668) (author)
Baskı/Yayın Bilgisi:	2025
Konular:	Medicine Genetics Molecular Biology Physiology Infectious Diseases Computational Biology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified data integration optimization electronic health records risk prediction
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

Benzer Materyaller

Comparative analysis of spike sorting using Uniform Manifold Approximation and Projection (UMAP) vs. feature-based methods in in vivo extracellular recordings.
Yazar:: Daniel Suárez-Barrera (22676654)
Baskı/Yayın Bilgisi: (2025)

Spatiotemporal spike sorting on multi-electrode array (MEA) data: Uniform Manifold Approximation and Projection (UMAP) vs. SpyKING CIRCUS (SC).
Yazar:: Daniel Suárez-Barrera (22676654)
Baskı/Yayın Bilgisi: (2025)

Uniform Manifold Approximation and Projection (UMAP)-based sorting enhances detection of low-firing rate neurons and boosts mutual information.
Yazar:: Daniel Suárez-Barrera (22676654)
Baskı/Yayın Bilgisi: (2025)

Impact of multiunit merging on neural information encoding.
Yazar:: Daniel Suárez-Barrera (22676654)
Baskı/Yayın Bilgisi: (2025)

Comparison of Uniform Manifold Approximation and Projection (UMAP)-based and feature-based spike sorting on synthetic data.
Yazar:: Daniel Suárez-Barrera (22676654)
Baskı/Yayın Bilgisi: (2025)

Comparison of feature-based and Uniform Manifold Approximation and Projection (UMAP)-based spike sorting for neuron classification.
Yazar:: Daniel Suárez-Barrera (22676654)
Baskı/Yayın Bilgisi: (2025)

Additional file 2 of Machine learning model for predicting severe infection in children with idiopathic nephrotic syndrome: multicenter retrospective study
Yazar:: Sijie Yu (8895605)
Baskı/Yayın Bilgisi: (2025)

Additional file 1 of Machine learning model for predicting severe infection in children with idiopathic nephrotic syndrome: multicenter retrospective study
Yazar:: Sijie Yu (8895605)
Baskı/Yayın Bilgisi: (2025)

Comprehensive Transformation Robustness Analysis Results.
Yazar:: Kewei Wang (556371)
Baskı/Yayın Bilgisi: (2025)

Transformation Robustness Parameter Impact Analysis.
Yazar:: Kewei Wang (556371)
Baskı/Yayın Bilgisi: (2025)

Scalability and robustness analysis of the IGA-NSGA-II framework.
Yazar:: Kewei Wang (556371)
Baskı/Yayın Bilgisi: (2025)

Plasticity model shows continued linear increases in LTP induction at higher frequencies.
Yazar:: Nicholas Hananeia (22683665)
Baskı/Yayın Bilgisi: (2025)

Robustness checks.
Yazar:: Yuanbo Hu (10142927)
Baskı/Yayın Bilgisi: (2025)

Robustness of TransMarker concerning the selection and completeness of the prior knowledge network.
Yazar:: Fatemeh Keikha (20917848)
Baskı/Yayın Bilgisi: (2025)

Presynaptic and postsynaptic weights change monotonically linearly over stimulus duration.
Yazar:: Nicholas Hananeia (22683665)
Baskı/Yayın Bilgisi: (2025)

Entropy-Driven Amino Acid-Based Coacervates with Enzyme-Free Metabolism and Prebiotic Robustness
Yazar:: Shuai Cao (775058)
Baskı/Yayın Bilgisi: (2025)

Entropy-Driven Amino Acid-Based Coacervates with Enzyme-Free Metabolism and Prebiotic Robustness
Yazar:: Shuai Cao (775058)
Baskı/Yayın Bilgisi: (2025)

Robustness analysis of the entropic regularization parameter in the Gromov–Wasserstein alignment step of TransMarker.
Yazar:: Fatemeh Keikha (20917848)
Baskı/Yayın Bilgisi: (2025)

Regression model using Generalized Linear equation (age, ethnicity, primary language, location, and insurance status) on preventive dental services utilization.
Yazar:: Anubhuti Shukla (12152228)
Baskı/Yayın Bilgisi: (2025)

Comparison of algorithm performance under actual coordinate points.
Yazar:: Meiqing Xu (8502255)
Baskı/Yayın Bilgisi: (2025)

Comparison of algorithm performance under random coordinate points.
Yazar:: Meiqing Xu (8502255)
Baskı/Yayın Bilgisi: (2025)

Simulation parameters for UAV path planning.
Yazar:: Meiqing Xu (8502255)
Baskı/Yayın Bilgisi: (2025)

OPTION-A*-DQN algorithm cycle payoff plot.
Yazar:: Meiqing Xu (8502255)
Baskı/Yayın Bilgisi: (2025)

OPTION-Dijkstra-DQN algorithm cycle payoff plot.
Yazar:: Meiqing Xu (8502255)
Baskı/Yayın Bilgisi: (2025)

Bar chart comparing the return-to-charge frequency before and after optimization for different algorithms.
Yazar:: Meiqing Xu (8502255)
Baskı/Yayın Bilgisi: (2025)

(A) Initial path planning result using the OPTION-A*-DQN algorithm.
Yazar:: Meiqing Xu (8502255)
Baskı/Yayın Bilgisi: (2025)

(A) Initial path planning result using the OPTION-SA-DQN algorithm.
Yazar:: Meiqing Xu (8502255)
Baskı/Yayın Bilgisi: (2025)

(A) Initial path planning result using the OPTION-Dijkstra-DQN algorithm.
Yazar:: Meiqing Xu (8502255)
Baskı/Yayın Bilgisi: (2025)

OPTION-DQN algorithm flowchart.
Yazar:: Meiqing Xu (8502255)
Baskı/Yayın Bilgisi: (2025)

Flowchart of the intelligent inspection area partitioning algorithm.
Yazar:: Meiqing Xu (8502255)
Baskı/Yayın Bilgisi: (2025)

Illustration of dynamic real-time obstacle avoidance.
Yazar:: Meiqing Xu (8502255)
Baskı/Yayın Bilgisi: (2025)

(A) The charging process of a UAV returning to the offshore substation for energy replenishment.
Yazar:: Meiqing Xu (8502255)
Baskı/Yayın Bilgisi: (2025)

Turbine distribution map of Yangjiang Phase I wind farm.
Yazar:: Meiqing Xu (8502255)
Baskı/Yayın Bilgisi: (2025)

Flow diagram of the proposed model.
Yazar:: Uğur Ejder (22683228)
Baskı/Yayın Bilgisi: (2025)

The comparison of the accuracy score of the benchmark and the proposed models.
Yazar:: Uğur Ejder (22683228)
Baskı/Yayın Bilgisi: (2025)

The prediction accuracy of simple versus hybrid models.
Yazar:: Uğur Ejder (22683228)
Baskı/Yayın Bilgisi: (2025)

Top-performing model configuration and performance by algorithm type.
Yazar:: Uğur Ejder (22683228)
Baskı/Yayın Bilgisi: (2025)

The accuracy score change matrix following model development.
Yazar:: Uğur Ejder (22683228)
Baskı/Yayın Bilgisi: (2025)

Comparison of baseline and hybrid machine learning models in predicting IVF outcomes (%).
Yazar:: Uğur Ejder (22683228)
Baskı/Yayın Bilgisi: (2025)

Confusion matrix of the ABC–LR–RF hybrid model for IVF outcome prediction.
Yazar:: Uğur Ejder (22683228)
Baskı/Yayın Bilgisi: (2025)

Cannot write session to /tmp/vufind_sessions/sess_d719qsa7ruk53663gfd5r8qacj