Social Determinants of Health Prediction for ICD-9 Code with Reasoning Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Khan, Sharim, Landes, Paul, Cross, Adam, Sun, Jimeng
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Computation and Language Computers and Society
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Integration of Large Language Models and Traditional Deep Learning for Social Determinants of Health Prediction
di: Landes, Paul, et al.
Pubblicazione: (2025)

RDMA: Cost Effective Agent-Driven Rare Disease Mining from Electronic Health Records
di: Wu, John, et al.
Pubblicazione: (2025)

Graph Alignment Topology as an Inductive Bias for Grounding Detection
di: Landes, Paul, et al.
Pubblicazione: (2026)

Fair Representation in Parliamentary Summaries: Measuring and Mitigating Inclusion Bias
di: Cunningham, Eoghan, et al.
Pubblicazione: (2025)

Mining Social Determinants of Health for Heart Failure Patient 30-Day Readmission via Large Language Model
di: Shao, Mingchen, et al.
Pubblicazione: (2025)

Leveraging Social Determinants of Health in Alzheimer's Research Using LLM-Augmented Literature Mining and Knowledge Graphs
di: Shang, Tianqi, et al.
Pubblicazione: (2024)

Reasoning Models Generate Societies of Thought
di: Kim, Junsol, et al.
Pubblicazione: (2026)

Continuous Predictive Modeling of Clinical Notes and ICD Codes in Patient Health Records
di: Caralt, Mireia Hernandez, et al.
Pubblicazione: (2024)

Efficient and Personalized Mobile Health Event Prediction via Small Language Models
di: Wang, Xin, et al.
Pubblicazione: (2024)

The Anatomy of Evidence: An Investigation Into Explainable ICD Coding
di: Beckh, Katharina, et al.
Pubblicazione: (2025)

A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models
di: Pfohl, Stephen R., et al.
Pubblicazione: (2024)

PeerCoPilot: A Language Model-Powered Assistant for Behavioral Health Organizations
di: Mo, Gao, et al.
Pubblicazione: (2025)

Limits to Predicting Online Speech Using Large Language Models
di: Remeli, Mina, et al.
Pubblicazione: (2024)

How to Train Private Clinical Language Models: A Comparative Study of Privacy-Preserving Pipelines for ICD-9 Coding
di: Dufour, Mathieu, et al.
Pubblicazione: (2025)

Towards Modeling Learner Performance with Large Language Models
di: Neshaei, Seyed Parsa, et al.
Pubblicazione: (2024)

LTR-ICD: A Learning-to-Rank Approach for Automatic ICD Coding
di: Mansoori, Mohammad, et al.
Pubblicazione: (2025)

Test Case-Informed Knowledge Tracing for Open-ended Coding Tasks
di: Duan, Zhangqi, et al.
Pubblicazione: (2024)

Adapting Mental Health Prediction Tasks for Cross-lingual Learning via Meta-Training and In-context Learning with Large Language Model
di: Lifelo, Zita, et al.
Pubblicazione: (2024)

GRILE: A Benchmark for Grammar Reasoning and Explanation in Romanian LLMs
di: Dumitran, Adrian-Marius, et al.
Pubblicazione: (2025)

Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models
di: Lin, Zhen, et al.
Pubblicazione: (2023)

ComplicaCode: Enhancing Disease Complication Detection in Electronic Health Records through ICD Path Generation
di: Zhou, Xiaofan
Pubblicazione: (2023)

RDBE: Reasoning Distillation-Based Evaluation Enhances Automatic Essay Scoring
di: Mohammadkhani, Ali Ghiasvand
Pubblicazione: (2024)

Protected group bias and stereotypes in Large Language Models
di: Kotek, Hadas, et al.
Pubblicazione: (2024)

Deliberative Alignment: Reasoning Enables Safer Language Models
di: Guan, Melody Y., et al.
Pubblicazione: (2024)

Intimate Partner Violence and Injury Prediction From Radiology Reports
di: Chen, Irene Y., et al.
Pubblicazione: (2020)

Leveraging Prototypical Representations for Mitigating Social Bias without Demographic Information
di: Iskander, Shadi, et al.
Pubblicazione: (2024)

Deep Learning Approaches for Detecting Adversarial Cyberbullying and Hate Speech in Social Networks
di: Azumah, Sylvia Worlali, et al.
Pubblicazione: (2024)

Toward Automated Detection of Biased Social Signals from the Content of Clinical Conversations
di: Chen, Feng, et al.
Pubblicazione: (2024)

Personalized Decision Modeling: Utility Optimization or Textualized-Symbolic Reasoning
di: Zhao, Yibo, et al.
Pubblicazione: (2025)

SMART: Simulated Students Aligned with Item Response Theory for Question Difficulty Prediction
di: Scarlatos, Alexander, et al.
Pubblicazione: (2025)

Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning
di: Gado, Elena Grazia, et al.
Pubblicazione: (2024)

Evaluating LLMs for Demographic-Targeted Social Bias Detection: A Comprehensive Benchmark Study
di: Majumdar, Ayan, et al.
Pubblicazione: (2025)

ShifaMind: A Multiplicative Concept Bottleneck for Interpretable ICD-10 Coding
di: Syed, Mohammed Sameer, et al.
Pubblicazione: (2026)

Small Models are LLM Knowledge Triggers on Medical Tabular Prediction
di: Yan, Jiahuan, et al.
Pubblicazione: (2024)

Translational Gaps in Graph Transformers for Longitudinal EHR Prediction: A Critical Appraisal of GT-BEHRT
di: Tadigotla, Krish
Pubblicazione: (2026)

On The Role of Reasoning in the Identification of Subtle Stereotypes in Natural Language
di: Tian, Jacob-Junqi, et al.
Pubblicazione: (2023)

Reducing Large Language Model Safety Risks in Women's Health using Semantic Entropy
di: Penny-Dimri, Jahan C., et al.
Pubblicazione: (2025)

The Reasoning Trap -- Logical Reasoning as a Mechanistic Pathway to Situational Awareness
di: Sahoo, Subramanyam, et al.
Pubblicazione: (2026)

Are Large Language Models Chameleons? An Attempt to Simulate Social Surveys
di: Geng, Mingmeng, et al.
Pubblicazione: (2024)

GreedLlama: Performance of Financial Value-Aligned Large Language Models in Moral Reasoning
di: Yu, Jeffy, et al.
Pubblicazione: (2024)