Article

Multimodal Biomedical Data Fusion Using Sparse Canonical Correlation Analysis and Cooperative Learning: A Cohort Study on COVID-19

2023-11-20

Abstract excerpt

<title>Abstract</title> <p>Through technological innovations, patient cohorts can be examined from multiple views with high-dimensional, multiscale biomedical data to classify clinical phenotypes and predict outcomes. Here, we aim to present our approach for analyzing multimodal data using unsupervised and supervised sparse linear methods in a COVID-19 patient cohort. This prospective cohort study of 149 adult pa...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: aa2aa810-1717-561d-a82c-d9a8a4d636a4
DOI: 10.21203/rs.3.rs-3569833/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Multimodal Biomedical Data Fusion Using Sparse Canonical Correlation Analysis and Cooperative Learning: A Cohort Study on COVID-19DOI 10.21203/rs.3.rs-3569833/v1Read

Learning robust gene expression embeddings for disease subtyping, biomarker identification and cross-species alignmentSemantic proximity Read

Group sparse canonical correlation analysis for genomic data integration.Semantic proximity Read

Exploring combinations of dimensionality reduction, transfer learning, and regularization methods for predicting binary phenotypes with transcriptomic dataSemantic proximity Read

Multimodal Machine Learning in Healthcare: A Tutorial and ReviewSemantic proximity Read

Uncovering Cross-Cohort Molecular Features with Multi-Omics Integration AnalysisSemantic proximity Read

Joint sparse canonical correlation analysis for detecting differential imaging genetics modules.Semantic proximity Read

Exploring combinations of dimensionality reduction, transfer learning, and regularization methods for predicting binary phenotypes with transcriptomic data.Semantic proximity Read

Quantifying the advantage of multimodal data fusion for survival prediction in cancer patientsSemantic proximity Read

Cooperative Modular Representation Learning for Lung Adenocarcinoma Survival Prediction from Transcriptomic and Clinical DataSemantic proximity Read

A Simple, Privacy-Preserving Multimodal Stacking System for Clinical Progression Prediction in Low-Resource Rare DiseasesSemantic proximity Read

A State-of-the-Art Review on Multimodal Deep Learning for Medical Diagnosis: Integrating Text and ImageSemantic proximity Read

Biomarker discovery by sparse canonical correlation analysis of complex clinical phenotypes of tuberculosis and malaria.Semantic proximity Read