Buchumschlag

Predicting Depression and Anxiety: A Multi-Layer Perceptron for Analyzing the Mental Health Impact of COVID-19

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Fong, David, Chu, Tianshu, Heflin, Matthew, Gu, Xiaosi, Seneviratne, Oshani
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Machine Learning Computers and Society
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

SemCAFE: When Named Entities make the Difference Assessing Web Source Reliability through Entity-level Analytics
von: Shahi, Gautam Kishore, et al.
Veröffentlicht: (2025)

Parallel and Multi-Stage Knowledge Graph Retrieval for Behaviorally Aligned Financial Asset Recommendations
von: Spadea, Fernando, et al.
Veröffentlicht: (2025)

From Risk to Rescue: An Agentic Survival Analysis Framework for Liquidation Prevention
von: Spadea, Fernando, et al.
Veröffentlicht: (2026)

Federated Fine-Tuning of Large Language Models: Kahneman-Tversky vs. Direct Preference Optimization
von: Spadea, Fernando, et al.
Veröffentlicht: (2025)

Avoiding Over-Personalization with Rule-Guided Knowledge Graph Adaptation for LLM Recommendations
von: Spadea, Fernando, et al.
Veröffentlicht: (2025)

Federated Personal Knowledge Graph Completion with Lightweight Large Language Models for Personalized Recommendations
von: Spadea, Fernando, et al.
Veröffentlicht: (2026)

Curriculum-Guided Reinforcement Learning for Synthesizing Gas-Efficient Financial Derivatives Contracts
von: Mridul, Maruf Ahmed, et al.
Veröffentlicht: (2025)

Aligning Language Models with Investor and Market Behavior for Financial Recommendations
von: Spadea, Fernando, et al.
Veröffentlicht: (2025)

Blockchain-based Framework for Scalable and Incentivized Federated Learning
von: Wu, Bijun, et al.
Veröffentlicht: (2025)

Personal Health Data Integration and Intelligence through Semantic Web and Blockchain Technologies
von: Seneviratne, Oshani, et al.
Veröffentlicht: (2026)

Support and Scandals in GameFi dApps: A Network Analysis of The Sandbox Transactions
von: Spadea, Fernando, et al.
Veröffentlicht: (2024)

Explainable Federated Learning for U.S. State-Level Financial Distress Modeling
von: Carta, Lorenzo, et al.
Veröffentlicht: (2025)

Predicting and Understanding College Student Mental Health with Interpretable Machine Learning
von: Chowdhury, Meghna Roy, et al.
Veröffentlicht: (2025)

WatchAnxiety: A Transfer Learning Approach for State Anxiety Prediction from Smartwatch Data
von: Ahmed, Md Sabbir, et al.
Veröffentlicht: (2025)

From Universal Approximation Theorem to Tropical Geometry of Multi-Layer Perceptrons
von: Chu, Yi-Shan, et al.
Veröffentlicht: (2025)

Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics
von: Chu, Yun-Wei, et al.
Veröffentlicht: (2022)

Measuring Privacy Risks and Tradeoffs in Financial Synthetic Data Generation
von: Zuo, Michael, et al.
Veröffentlicht: (2026)

Explainable AI for Mental Health Emergency Returns: Integrating LLMs with Predictive Modeling
von: Ahmed, Abdulaziz, et al.
Veröffentlicht: (2025)

Using Machine Learning in Analyzing Air Quality Discrepancies of Environmental Impact
von: Wang, Shuangbao Paul, et al.
Veröffentlicht: (2025)

Evaluating Large Language Models for Anxiety and Depression Classification using Counseling and Psychotherapy Transcripts
von: Sun, Junwei, et al.
Veröffentlicht: (2024)

On Learning Representations for Tabular Data Distillation
von: Kang, Inwon, et al.
Veröffentlicht: (2025)

Multimodal Machine Learning in Mental Health: A Survey of Data, Algorithms, and Challenges
von: Sahili, Zahraa Al, et al.
Veröffentlicht: (2024)

Analyzing the Temporal Factors for Anxiety and Depression Symptoms with the Rashomon Perspective
von: Cavus, Mustafa, et al.
Veröffentlicht: (2026)

Auditing the Fairness of the US COVID-19 Forecast Hub's Case Prediction Models
von: Abrar, Saad Mohammad, et al.
Veröffentlicht: (2024)

Better Prompt Compression Without Multi-Layer Perceptrons
von: Honig, Edouardo, et al.
Veröffentlicht: (2025)

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm
von: Gu, Xiaosi, et al.
Veröffentlicht: (2024)

Probabilistic Multi-Layer Perceptrons for Wind Farm Condition Monitoring
von: Fiocchi, Filippo, et al.
Veröffentlicht: (2024)

Analyzing the Variations in Emergency Department Boarding and Testing the Transferability of Forecasting Models across COVID-19 Pandemic Waves in Hong Kong: Hybrid CNN-LSTM approach to quantifying building-level socioecological risk
von: Leung, Eman, et al.
Veröffentlicht: (2024)

Breaking the Cycle of Incarceration With Targeted Mental Health Outreach: A Case Study in Machine Learning for Public Policy
von: Rodolfa, Kit T., et al.
Veröffentlicht: (2025)

The Transition from Centralized Machine Learning to Federated Learning for Mental Health in Education: A Survey of Current Methods and Future Directions
von: Ebrahimi, Maryam, et al.
Veröffentlicht: (2025)

Gold Price Prediction Using Long Short-Term Memory and Multi-Layer Perceptron with Gray Wolf Optimizer
von: Taghipour, Hesam, et al.
Veröffentlicht: (2025)

Harnessing Large Language Models for Mental Health: Opportunities, Challenges, and Ethical Considerations
von: Pandey, Hari Mohan
Veröffentlicht: (2024)

Benchmarking Temporal Web3 Intelligence: Lessons from the FinSurvival 2025 Challenge
von: Seneviratne, Oshani, et al.
Veröffentlicht: (2026)

The Impact of Pseudo-Science in Financial Loans Risk Prediction
von: Scarone, Bruno, et al.
Veröffentlicht: (2025)

Zero Shot Health Trajectory Prediction Using Transformer
von: Renc, Pawel, et al.
Veröffentlicht: (2024)

Global Prediction of COVID-19 Variant Emergence Using Dynamics-Informed Graph Neural Networks
von: Aawar, Majd Al, et al.
Veröffentlicht: (2024)

Exploration of Adolescent Depression Risk Prediction Based on Census Surveys and General Life Issues
von: Li, Qiang, et al.
Veröffentlicht: (2024)

MetaExplainer: A Framework to Generate Multi-Type User-Centered Explanations for AI Systems
von: Chari, Shruthi, et al.
Veröffentlicht: (2025)

FinSurvival: A Suite of Large Scale Survival Modeling Tasks from Finance
von: Green, Aaron, et al.
Veröffentlicht: (2025)

DemOpts: Fairness corrections in COVID-19 case prediction models
von: Awasthi, Naman, et al.
Veröffentlicht: (2024)