Copertina

Multimodal Interpretable Data-Driven Models for Early Prediction of Antimicrobial Multidrug Resistance Using Multivariate Time-Series

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Martínez-Agüero, Sergio, Marques, Antonio G., Mora-Jiménez, Inmaculada, Alvárez-Rodríguez, Joaquín, Soguero-Ruiz, Cristina
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Quantitative Methods
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Early Detection of Multidrug Resistance Using Multivariate Time Series Analysis and Interpretable Patient-Similarity Representations
di: Escudero-Arnanz, Óscar, et al.
Pubblicazione: (2025)

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

Predicting Antimicrobial Resistance (AMR) in Campylobacter, a Foodborne Pathogen, and Cost Burden Analysis Using Machine Learning
di: Mishra, Shubham, et al.
Pubblicazione: (2025)

BIOGEN: Evidence-Grounded Multi-Agent Reasoning Framework for Transcriptomic Interpretation in Antimicrobial Resistance
di: Hossain, Elias, et al.
Pubblicazione: (2025)

Enhancing Antimicrobial Molecule Prediction via Dynamic Routing Capsule Networks and Multi-Source Molecular Embeddings
di: He, R.
Pubblicazione: (2025)

Drug Resistance Predictions Based on a Directed Flag Transformer
di: Chen, Dong, et al.
Pubblicazione: (2024)

HMAMP: Hypervolume-Driven Multi-Objective Antimicrobial Peptides Design
di: Wang, Li, et al.
Pubblicazione: (2024)

Exploring the Utility of MALDI-TOF Mass Spectrometry and Antimicrobial Resistance in Hospital Outbreak Detection
di: Liu, Chang, et al.
Pubblicazione: (2026)

Multimodal Machine Learning for Early Prediction of Metastasis in a Swedish Multi-Cancer Cohort
di: Rugolon, Franco, et al.
Pubblicazione: (2026)

Forecasting Antimicrobial Resistance Trends Using Machine Learning on WHO GLASS Surveillance Data: A Retrieval-Augmented Generation Approach for Policy Decision Support
di: Turja, Md Tanvir Hasan
Pubblicazione: (2026)

Multimodal Radiomics Model for Predicting Gold Nanoparticles Accumulation in Mouse Tumors
di: Tang, Jiajia, et al.
Pubblicazione: (2024)

Multimodal Alignment Improves Generalizability of Genomic Biomarker Prediction in Computational Pathology
di: Redekop, Ekaterina, et al.
Pubblicazione: (2026)

Image-Based Biospeckle Contrast Analysis for Rapid Antimicrobial Susceptibility Testing
di: Gameiro, M. A., et al.
Pubblicazione: (2025)

AI-Driven Hybrid Ecological Model for Predicting Oncolytic Viral Therapy Dynamics
di: Uthamacumaran, Abicumaran, et al.
Pubblicazione: (2025)

Domain-Aware Geometric Multimodal Learning for Multi-Domain Protein-Ligand Affinity Prediction
di: Zhang, Shuo, et al.
Pubblicazione: (2026)

AutoProteinEngine: A Large Language Model Driven Agent Framework for Multimodal AutoML in Protein Engineering
di: Liu, Yungeng, et al.
Pubblicazione: (2024)

Multimodal Modeling of Ultradian Rhythms Using the Hankel Alternative View of Koopman (HAVOK) Analysis
di: Molefi, Emmanuel, et al.
Pubblicazione: (2025)

A Wrist-Worn Multimodal Reaction Time Monitoring Device for Ecologically-Valid Cognitive Assessment
di: Sarkar, Abhigyan, et al.
Pubblicazione: (2025)

Multivariate Functional Data Analysis Uncovers Behavioral Fingerprints in Invertebrate Locomotor Response to Micropollutants
di: Ruck, George, et al.
Pubblicazione: (2025)

Antibiotic Resistance Microbiology Dataset (ARMD): A Resource for Antimicrobial Resistance from EHRs
di: Haredasht, Fateme Nateghi, et al.
Pubblicazione: (2025)

Optimizing Gene-Based Testing for Antibiotic Resistance Prediction
di: Hagerman, David, et al.
Pubblicazione: (2025)

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

Reconstructing Noisy Gene Regulation Dynamics Using Extrinsic-Noise-Driven Neural Stochastic Differential Equations
di: Zhang, Jiancheng, et al.
Pubblicazione: (2025)

Mechanistic Learning for Survival Prediction in NSCLC Using Routine Blood Biomarkers and Tumor Kinetics
di: Taieb, Ruben, et al.
Pubblicazione: (2026)

Tabular LLMs for Interpretable Few-Shot Alzheimer's Disease Prediction with Multimodal Biomedical Data
di: Kearney, Sophie, et al.
Pubblicazione: (2026)

Modeling Metabolic State Transitions in Obesity Using a Time-Varying Lambda-Omega Framework
di: Saghafi, Soheil, et al.
Pubblicazione: (2026)

ProtT-Affinity: Sequence-Based Protein-Protein Binding Affinity Prediction Using ProtT5 Embeddings
di: Lou, Hongfu
Pubblicazione: (2025)

StateXDiff: Cell State-Contextualized Multimodal Diffusion for Single-Cell Perturbation Prediction
di: Shi, Peiting, et al.
Pubblicazione: (2026)

Towards Precision Oncology: Predicting Mortality and Relapse-Free Survival in Head and Neck Cancer Using Clinical Data
di: Dhariwal, Naman, et al.
Pubblicazione: (2025)

Beyond Black Boxes: Enhancing Interpretability of Transformers Trained on Neural Data
di: Freeman, Laurence, et al.
Pubblicazione: (2025)

MATLAB Plasmonic Nanoparticle Virion Counting and Interpretation System in Urban Populations
di: Hong, Bryan, et al.
Pubblicazione: (2023)

Interpreting Microbiome Relative Abundance Data Using Symbolic Regression
di: Haldar, Swagatam, et al.
Pubblicazione: (2024)

Mitosis, Cytoskeleton Regulation, and Drug Resistance in Receptor Triple Negative Breast Cancer
di: Matov, Alexandre
Pubblicazione: (2024)

The Multivariate SEM-PGS Model: Using Polygenic Scores to Investigate Cross-Trait Genetic Nurture and Assortative Mating
di: Lyu, Xuanyu, et al.
Pubblicazione: (2025)

Robust and Generalizable Atrial Fibrillation Detection from ECG Using Time-Frequency Fusion and Supervised Contrastive Learning
di: Li, Hongtao, et al.
Pubblicazione: (2026)

Data-Efficient Sleep Staging with Synthetic Time Series Pretraining
di: Grieger, Niklas, et al.
Pubblicazione: (2024)

Pharmacometrics Modeling via Physics-Informed Neural Networks: Integrating Time-Variant Absorption Rates and Fractional Calculus for Enhancing Prediction Accuracy
di: Ahmadi, Nazanin, et al.
Pubblicazione: (2024)

A Linear Generative Framework for Structure-Function Coupling in the Human Brain
di: Kelemen, Sam Frank, et al.
Pubblicazione: (2025)

Fusing Sequence Motifs and Pan-Genomic Features: Antimicrobial Resistance Prediction using an Explainable Lightweight 1D CNN-XGBoost Ensemble
di: Siddiqui, Md. Saiful Bari, et al.
Pubblicazione: (2025)

Strategic Control of Drug-Resistant HIV: Multi-Strain Modeling with Diagnosis, Adherence, and Treatment Switching
di: Poonia, Ashish, et al.
Pubblicazione: (2025)