Cover Image

Latent Space Data Fusion Outperforms Early Fusion in Multimodal Mental Health Digital Phenotyping Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Barkat, Youcef, Hamitouche, Dylan, Parekh, Deven, Guo, Ivy, Benrimoh, David
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Dynamic Indicators of Adherence and Retention in Digital Health Studies: A Longitudinal Observational Analysis from the Brighten Study
by: Hamitouche, Dylan, et al.
Published: (2024)

Sleep and Activity Patterns as Transdiagnostic Behavioral Biomarkers in Psychiatry: Initial Insights from the DeeP-DD study
by: Hamitouche, Dylan, et al.
Published: (2025)

Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI
by: Khan, Asma Sadia, et al.
Published: (2025)

Binary Gaussian Copula Synthesis: A Novel Data Augmentation Technique to Advance ML-based Clinical Decision Support Systems for Early Prediction of Dialysis Among CKD Patients
by: Khosravi, Hamed, et al.
Published: (2024)

Robustness is Important: Limitations of LLMs for Data Fitting
by: Liu, Hejia, et al.
Published: (2025)

Generating Synthetic Relational Tabular Data via Structural Causal Models
by: Hoppe, Frederik, et al.
Published: (2025)

Multi-spatial Multi-temporal Air Quality Forecasting with Integrated Monitoring and Reanalysis Data
by: Hu, Yuxiao, et al.
Published: (2023)

Sparsely Multimodal Data Fusion
by: Bjorgaard, Josiah
Published: (2024)

Conformal Safety Monitoring for Flight Testing: A Case Study in Data-Driven Safety Learning
by: Feldman, Aaron O., et al.
Published: (2025)

Personalization of Large Foundation Models for Health Interventions
by: Konigorski, Stefan, et al.
Published: (2026)

Analyzing the Impact of Climate Change With Major Emphasis on Pollution: A Comparative Study of ML and Statistical Models in Time Series Data
by: Mishra, Anurag, et al.
Published: (2024)

Out-of-distribution Reject Option Method for Dataset Shift Problem in Early Disease Onset Prediction
by: Tosaki, Taisei, et al.
Published: (2024)

Enhancing Data Efficiency and Feature Identification for Lithium-Ion Battery Lifespan Prediction by Deciphering Interpretation of Temporal Patterns and Cyclic Variability Using Attention-Based Models
by: Lee, Jaewook, et al.
Published: (2023)

Confidence Adjusted Surprise Measure for Active Resourceful Trials (CA-SMART): A Data-driven Active Learning Framework for Accelerating Material Discovery under Resource Constraints
by: Raihan, Ahmed Shoyeb, et al.
Published: (2025)

Sentiment Analysis Based on RoBERTa for Amazon Review: An Empirical Study on Decision Making
by: Guo, Xinli
Published: (2024)

Temporal Subtyping of Alzheimer's Disease Using Medical Conditions Preceding Alzheimer's Disease Onset in Electronic Health Records
by: He, Zhe, et al.
Published: (2022)

ColonScopeX: Leveraging Explainable Expert Systems with Multimodal Data for Improved Early Diagnosis of Colorectal Cancer
by: Sikora, Natalia, et al.
Published: (2025)

An Algorithmic Approach for Causal Health Equity: A Look at Race Differentials in Intensive Care Unit (ICU) Outcomes
by: Plecko, Drago, et al.
Published: (2025)

HEALNet: Multimodal Fusion for Heterogeneous Biomedical Data
by: Hemker, Konstantin, et al.
Published: (2023)

Classification Modeling with RNN-Based, Random Forest, and XGBoost for Imbalanced Data: A Case of Early Crash Detection in ASEAN-5 Stock Markets
by: Siswara, Deri, et al.
Published: (2024)

Missing Data Imputation With Granular Semantics and AI-driven Pipeline for Bankruptcy Prediction
by: Chakraborty, Debarati, et al.
Published: (2024)

Ranking Policy Learning via Marketplace Expected Value Estimation From Observational Data
by: Ebrahimzadeh, Ehsan, et al.
Published: (2024)

Bridging Data Barriers among Participants: Assessing the Potential of Geoenergy through Federated Learning
by: Peng, Weike, et al.
Published: (2024)

Generating Hypotheses of Dynamic Causal Graphs in Neuroscience: Leveraging Generative Factor Models of Observed Time Series
by: Brown, Zachary C., et al.
Published: (2025)

Digital Phenotyping for Adolescent Mental Health: A Feasibility Study Employing Machine Learning to Predict Mental Health Risk From Active and Passive Smartphone Data
by: Kadirvelu, Balasundaram, et al.
Published: (2025)

Fusion Sampling Validation in Data Partitioning for Machine Learning
by: Udomboso, Christopher Godwin, et al.
Published: (2025)

Machine Learning for Network Attacks Classification and Statistical Evaluation of Adversarial Learning Methodologies for Synthetic Data Generation
by: Zarkadis, Iakovos-Christos, et al.
Published: (2026)

Lightweight Adaptation for LLM-based Technical Service Agent: Latent Logic Augmentation and Robust Noise Reduction
by: Yu, Yi, et al.
Published: (2026)

Learning Explainable Treatment Policies with Clinician-Informed Representations: A Practical Approach
by: Ferstad, Johannes O., et al.
Published: (2024)

Contextual Phenotyping of Pediatric Sepsis Cohort Using Large Language Models
by: Nagori, Aditya, et al.
Published: (2025)

Bridging the Data Gap in AI Reliability Research and Establishing DR-AIR, a Comprehensive Data Repository for AI Reliability
by: Zheng, Simin, et al.
Published: (2025)

Learning Disease Progression Models That Capture Health Disparities
by: Chiang, Erica, et al.
Published: (2024)

Toward Reducing Unproductive Container Moves: Predicting Service Requirements and Dwell Times
by: Villalobos, Elena, et al.
Published: (2026)

Equipment Health Assessment: Time Series Analysis for Wind Turbine Performance
by: Backhus, Jana, et al.
Published: (2024)

The Role of Affect and Priors in the Generation of Hallucinations in Early Psychosis
by: Friesen, Timothy, et al.
Published: (2025)

Cross-Domain Energy-Guided Diffusion Generation for Off-Dynamics Reinforcement Learning
by: Yang, Yu, et al.
Published: (2026)

Multimodal Fusion on Low-quality Data: A Comprehensive Survey
by: Zhang, Qingyang, et al.
Published: (2024)

Data-Driven Bayesian Network Models of Hurricane Evacuation Decision Making
by: Wang, Hui Sophie, et al.
Published: (2023)

Towards Interpretable Renal Health Decline Forecasting via Multi-LMM Collaborative Reasoning Framework
by: Wu, Peng-Yi, et al.
Published: (2025)

Augmented Risk Prediction for the Onset of Alzheimer's Disease from Electronic Health Records with Large Language Models
by: Wang, Jiankun, et al.
Published: (2024)