Imagen de Portada

AI driven health recommender

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Vignesh, K., Pranavi, B., Sreenidhi, Ch.
Formato:	Preprint
Publicado:	2024
Materias:	Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

good4cir: Generating Detailed Synthetic Captions for Composed Image Retrieval
por: Kolouju, Pranavi, et al.
Publicado: (2025)

Young people's perceptions and recommendations for conversational generative artificial intelligence in youth mental health
por: Poulsen, Adam, et al.
Publicado: (2026)

Worldwide AI Ethics: a review of 200 guidelines and recommendations for AI governance
por: Corrêa, Nicholas Kluge, et al.
Publicado: (2022)

AI-driven innovation in medicaid: enhancing access, cost efficiency, and population health management
por: Ingole, Balaji Shesharao, et al.
Publicado: (2024)

Guardrails for avoiding harmful medical product recommendations and off-label promotion in generative AI models
por: Lopez-Martinez, Daniel
Publicado: (2024)

Evaluating graph-based explanations for AI-based recommender systems
por: Delarue, Simon, et al.
Publicado: (2024)

Decoupled Behavioral Cloning for Scalable Inductive Generalization in RL from Specifications
por: Subramanian, Vignesh, et al.
Publicado: (2026)

Certificate-Guided Evaluation of Reinforcement Learning Generalization
por: Subramanian, Vignesh, et al.
Publicado: (2026)

Neuro-symbolic AI for Predictive Maintenance (PdM) -- review and recommendations
por: Hamilton, Kyle, et al.
Publicado: (2026)

A Community-driven vision for a new Knowledge Resource for AI
por: Chaudhri, Vinay K, et al.
Publicado: (2025)

Explainable AI: Definition and attributes of a good explanation for health AI
por: Kyrimi, Evangelia, et al.
Publicado: (2024)

Content filtering methods for music recommendation: A review
por: Zeng, Terence, et al.
Publicado: (2025)

TelOps: AI-driven Operations and Maintenance for Telecommunication Networks
por: Yang, Yuqian, et al.
Publicado: (2024)

MHINDR -- a DSM5 based mental health diagnosis and recommendation framework using LLM
por: Agarwal, Vaishali, et al.
Publicado: (2025)

Path-based summary explanations for graph recommenders (extended version)
por: Karidi, Danae Pla, et al.
Publicado: (2024)

Can Kernel Methods Explain How the Data Affects Neural Collapse?
por: Kothapalli, Vignesh, et al.
Publicado: (2024)

AI-driven View Guidance System in Intra-cardiac Echocardiography Imaging
por: Huh, Jaeyoung, et al.
Publicado: (2024)

Evaluating adaptive and generative AI-based feedback and recommendations in a knowledge-graph-integrated programming learning system
por: Nongkhai, Lalita Na, et al.
Publicado: (2026)

Contradiction Detection in RAG Systems: Evaluating LLMs as Context Validators for Improved Information Consistency
por: Gokul, Vignesh, et al.
Publicado: (2025)

Adversarial Question Answering Robustness: A Multi-Level Error Analysis and Mitigation Study
por: Choudhury, Agniv Roy, et al.
Publicado: (2026)

Research on color recipe recommendation based on unstructured data using TENN
por: Jhang, Seongsu, et al.
Publicado: (2024)

Dynamic fairness-aware recommendation through multi-agent social choice
por: Aird, Amanda, et al.
Publicado: (2023)

FlashInfer-Bench: Building the Virtuous Cycle for AI-driven LLM Systems
por: Xing, Shanli, et al.
Publicado: (2026)

Reproducible workflow for online AI in digital health
por: Ghosh, Susobhan, et al.
Publicado: (2025)

Generate the browsing process for short-video recommendation
por: Feng, Chao, et al.
Publicado: (2025)

Learning to act: a Reinforcement Learning approach to recommend the best next activities
por: Branchi, Stefano, et al.
Publicado: (2022)

A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective
por: Ying, Wangyang, et al.
Publicado: (2025)

Interpretable AI-driven Guidelines for Type 2 Diabetes Treatment from Observational Data
por: Agarwal, Dewang Kumar, et al.
Publicado: (2025)

AI-driven Automation as a Pre-condition for Eudaimonia
por: Siapka, Anastasia
Publicado: (2024)

Data driven approaches in nanophotonics: A review of AI-enabled metadevices
por: Zhang, Huanshu, et al.
Publicado: (2025)

An Integrated Approach to AI-Generated Content in e-health
por: Ahmed, Tasnim, et al.
Publicado: (2025)

Use of recommendation models to provide support to dyslexic students
por: Morciano, Gianluca, et al.
Publicado: (2024)

Handling Large-scale Cardinality in building recommendation systems
por: Kurra, Dhruva Dixith, et al.
Publicado: (2024)

Multimodal AI-driven Biomarker for Early Detection of Cancer Cachexia
por: Ahmed, Sabeen, et al.
Publicado: (2025)

ThinkRec: Thinking-based recommendation via LLM
por: Yu, Qihang, et al.
Publicado: (2025)

Dynamic Knowledge Selector and Evaluator for recommendation with Knowledge Graph
por: Xia, Feng, et al.
Publicado: (2025)

A Theoretical Framework for AI-driven data quality monitoring in high-volume data environments
por: Bangad, Nikhil, et al.
Publicado: (2024)

Navigating the growing field of research on AI for software testing -- the taxonomy for AI-augmented software testing and an ontology-driven literature survey
por: Schieferdecker, Ina K.
Publicado: (2025)

Key Safety Design Overview in AI-driven Autonomous Vehicles
por: Vyas, Vikas, et al.
Publicado: (2024)

AI-Enabled Data-driven Intelligence for Spectrum Demand Estimation
por: Brown, Colin, et al.
Publicado: (2026)