Imagen de Portada

Graphical Structural Learning of rs-fMRI data in Heavy Smokers

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Gong, Yiru, Zhang, Qimin, Zheng, Huili, Liu, Zheyan, Chen, Shaohan
Formato:	Preprint
Publicado:	2024
Materias:	Quantitative Methods Machine Learning Applications
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Cardiovascular Disease Detection By Leveraging Semi-Supervised Learning
por: Chen, Shaohan, et al.
Publicado: (2024)

The IQ-Motion Confound in Multi-Site Autism fMRI May Be Inflated by Site-Correlated Measurement Uncertainty
por: Soliman, Kareem
Publicado: (2026)

Application of Time-Aware PC algorithm to compute Causal Functional Connectivity in Alzheimer's Disease from fMRI data
por: Biswas, Rahul, et al.
Publicado: (2023)

Pruning neural network models for gene regulatory dynamics using data and domain knowledge
por: Hossain, Intekhab, et al.
Publicado: (2024)

CardiGraphormer: Unveiling the Power of Self-Supervised Learning in Revolutionizing Drug Discovery
por: Gupta, Abhijit
Publicado: (2023)

Machine Learning Classification of Alzheimer's Disease Stages Using Cerebrospinal Fluid Biomarkers Alone
por: Tiwari, Vivek Kumar, et al.
Publicado: (2024)

NHANES-GCP: Leveraging the Google Cloud Platform and BigQuery ML for reproducible machine learning with data from the National Health and Nutrition Examination Survey
por: Katz, B. Ross, et al.
Publicado: (2024)

Machine learning algorithms to predict stroke in China based on causal inference of time series analysis
por: Zheng, Qizhi, et al.
Publicado: (2025)

Early Prediction of Alzheimer's and Related Dementias: A Machine Learning Approach Utilizing Social Determinants of Health Data
por: Kindo, Bereket, et al.
Publicado: (2025)

Learning from Two Decades of Blood Pressure Data: Demography-Specific Patterns Across 75 Million Patient Encounters
por: Mousavi, Seyedeh Somayyeh, et al.
Publicado: (2024)

Causal inference in drug discovery and development
por: Michoel, Tom, et al.
Publicado: (2022)

Identification of Prognostic Biomarkers for Stage III Non-Small Cell Lung Carcinoma in Female Nonsmokers Using Machine Learning
por: Zheng, Huili, et al.
Publicado: (2024)

Stimulation of soy seeds using environmentally friendly magnetic and electric fields
por: Dziwulska-Hunek, Agata, et al.
Publicado: (2022)

Aneurysm Growth Time Series Reconstruction Using Physics-informed Autoencoder
por: Wu, Jiacheng
Publicado: (2025)

Permutation invariant multi-output Gaussian Processes for drug combination prediction in cancer
por: Rønneberg, Leiv, et al.
Publicado: (2024)

GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction Benchmarks
por: Sergazinov, Renat, et al.
Publicado: (2024)

Multimodality Stacking with Blockwise missing values and application to the PIONeeR biomarkers study for prediction of resistance to immunotherapy
por: Boussena, Mohamed, et al.
Publicado: (2026)

High-dimensional point forecast combinations for emergency department demand
por: Guo, Peihong, et al.
Publicado: (2025)

Robust Multi-view Co-expression Network Inference
por: Pandeva, Teodora, et al.
Publicado: (2024)

Discovery of Generalizable TBI Phenotypes Using Multivariate Time-Series Clustering
por: Ghaderi, Hamid, et al.
Publicado: (2024)

Instrumental Variable Estimation for Compositional Treatments
por: Ailer, Elisabeth, et al.
Publicado: (2021)

Survival Analysis of Young Triple-Negative Breast Cancer Patients
por: O, M. Mehdi Owrang, et al.
Publicado: (2024)

Advancing Tabular Stroke Modelling Through a Novel Hybrid Architecture and Feature-Selection Synergy
por: Islam, Yousuf, et al.
Publicado: (2025)

Clinical Characteristics and Laboratory Biomarkers in ICU-admitted Septic Patients with and without Bacteremia
por: Baek, Sangwon, et al.
Publicado: (2023)

Towards a Foundation Model for Brain Age Prediction using coVariance Neural Networks
por: Sihag, Saurabh, et al.
Publicado: (2024)

A Comprehensive Guide to Simulation-based Inference in Computational Biology
por: Wang, Xiaoyu, et al.
Publicado: (2024)

Mixed Models with Multiple Instance Learning
por: Engelmann, Jan P., et al.
Publicado: (2023)

Pruning the Path to Optimal Care: Identifying Systematically Suboptimal Medical Decision-Making with Inverse Reinforcement Learning
por: Bovenzi, Inko, et al.
Publicado: (2024)

Revealing the temporal dynamics of antibiotic anomalies in the infant gut microbiome with neural jump ODEs
por: Adamov, Anja, et al.
Publicado: (2025)

Optimizing Prognostic Biomarker Discovery in Pancreatic Cancer Through Hybrid Ensemble Feature Selection and Multi-Omics Data
por: Zobolas, John, et al.
Publicado: (2025)

Estimating Treatment Effect under Additive Hazards Models with High-dimensional Covariates
por: Hou, Jue, et al.
Publicado: (2019)

Deconstructing Intraocular Pressure: A Non-invasive Multi-Stage Probabilistic Inverse Framework
por: Jaher, Md Rezwan, et al.
Publicado: (2025)

A non-parametric optimal design algorithm for population pharmacokinetics
por: Hovd, Markus, et al.
Publicado: (2025)

Hypergraph Representations of scRNA-seq Data for Improved Clustering with Random Walks
por: He, Wan, et al.
Publicado: (2025)

Interpolation pour l'augmentation de donnees : Application à la gestion des adventices de la canne a sucre a la Reunion
por: Ferber, Frederick Fabre, et al.
Publicado: (2025)

Using Pre-training and Interaction Modeling for ancestry-specific disease prediction in UK Biobank
por: Menestrel, Thomas Le, et al.
Publicado: (2024)

Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests
por: Kapar, Jan, et al.
Publicado: (2025)

Deep Learning-Based Hypoglycemia Classification Across Multiple Prediction Horizons
por: Cinar, Beyza, et al.
Publicado: (2025)

A Demographic-Conditioned Variational Autoencoder for fMRI Distribution Sampling and Removal of Confounds
por: Orlichenko, Anton, et al.
Publicado: (2024)

High-dimensional Many-to-many-to-many Mediation Analysis
por: Nguyen, Tien Dat, et al.
Publicado: (2026)