Social Media as a Sensor: Analyzing Twitter Data for Breast Cancer Medication Effects Using Natural Language Processing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kobara, Seibi, Rafiei, Alireza, Nateghi, Masoud, Bozkurt, Selen, Kamaleswaran, Rishikesan, Sarker, Abeed
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Machine Learning Social and Information Networks
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LLM-Augmented Therapy Normalization and Aspect-Based Sentiment Analysis for Treatment-Resistant Depression on Reddit
by: Zhu, Yuxin, et al.
Published: (2026)

Automated Thematic Analyses Using LLMs: Xylazine Wound Management Social Media Chatter Use Case
by: Hairston, JaMor, et al.
Published: (2025)

HILGEN: Hierarchically-Informed Data Generation for Biomedical NER Using Knowledgebases and Large Language Models
by: Ge, Yao, et al.
Published: (2025)

Meta-learning in healthcare: A survey
by: Rafiei, Alireza, et al.
Published: (2023)

SpikGPT: A High-Accuracy and Interpretable Spiking Attention Framework for Single-Cell Annotation
by: Huang, Min, et al.
Published: (2025)

NeuroSep-CP-LCB: A Deep Learning-based Contextual Multi-armed Bandit Algorithm with Uncertainty Quantification for Early Sepsis Prediction
by: Zhou, Anni, et al.
Published: (2025)

Planner-Auditor Twin: Agentic Discharge Planning with FHIR-Based LLM Planning, Guideline Recall, Optional Caching and Self-Improvement
by: Wu, Kaiyuan, et al.
Published: (2026)

Reddit-Impacts: A Named Entity Recognition Dataset for Analyzing Clinical and Social Effects of Substance Use Derived from Social Media
by: Ge, Yao, et al.
Published: (2024)

Evaluating Large Language Models for Health-Related Text Classification Tasks with Public Social Media Data
by: Guo, Yuting, et al.
Published: (2024)

Transfer Learning for Causal Effect Estimation
by: Wei, Song, et al.
Published: (2023)

Detecting algorithmic bias in medical-AI models using trees
by: Smith, Jeffrey, et al.
Published: (2023)

Evaluating LLMs in Medicine: A Call for Rigor, Transparency
by: Alwakeel, Mahmoud, et al.
Published: (2025)

Sepsyn-OLCP: An Online Learning-based Framework for Early Sepsis Prediction with Uncertainty Quantification using Conformal Prediction
by: Zhou, Anni, et al.
Published: (2025)

Benchmarking Open-Source Large Language Models on Healthcare Text Classification Tasks
by: Guo, Yuting, et al.
Published: (2025)

Deep Representation Learning-Based Dynamic Trajectory Phenotyping for Acute Respiratory Failure in Medical Intensive Care Units
by: Wu, Alan, et al.
Published: (2024)

Centering Patient Voices in Lupus Pain: A Biopsychosocial Analysis of Reddit Narratives Using Large Language Models
by: Andrew Walker, et al.
Published: (2025)

Robust Meta-Model for Predicting the Need for Blood Transfusion in Non-traumatic ICU Patients
by: Rafiei, Alireza, et al.
Published: (2024)

Leveraging Large Language Models for Analyzing Blood Pressure Variations Across Biological Sex from Scientific Literature
by: Guo, Yuting, et al.
Published: (2024)

Estimation-Theoretic Bias Reduction for Oscillometric Blood Pressure Readings
by: Nateghi, Masoud, et al.
Published: (2025)

Learning from Two Decades of Blood Pressure Data: Demography-Specific Patterns Across 75 Million Patient Encounters
by: Mousavi, Seyedeh Somayyeh, et al.
Published: (2024)

Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study
by: Das, Sudeshna, et al.
Published: (2024)

Open-Source Agentic Hybrid RAG Framework for Scientific Literature Review
by: Nagori, Aditya, et al.
Published: (2025)

Performance of Large Language Models in Answering Critical Care Medicine Questions
by: Alwakeel, Mahmoud, et al.
Published: (2025)

The Utilization of Natural Language Processing for Analyzing Social Media Data in Nursing Research: A Scoping Review
by: Zhenrong Wang, et al.
Published: (2024)

Can Score-Based Generative Modeling Effectively Handle Medical Image Classification?
by: Sarker, Sushmita, et al.
Published: (2025)

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models
by: Ge, Yao, et al.
Published: (2025)

Association of Cannabinoid CB2 Receptor Q63R Variant With Rheumatoid Arthritis in an Iranian Cohort
by: Ali Nateghi, et al.
Published: (2025)

Cerebral microbleeds: Association with cognitive decline and pathology build-up
by: Rathore, Saima, et al.
Published: (2024)

Transformative Influence of LLM and AI Tools in Student Social Media Engagement: Analyzing Personalization, Communication Efficiency, and Collaborative Learning
by: Bashiri, Masoud, et al.
Published: (2024)

Analyzing the Brain's Dynamic Response to Targeted Stimulation using Generative Modeling
by: Maran, Rishikesan, et al.
Published: (2024)

Proposing A Method For Analyzing User Comments On Twitter Social Media Platform For Business Model Innovation
by: Hosseini, Monireh, et al.
Published: (2023)

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

Identifying social isolation themes in NVDRS text narratives using topic modeling and text-classification methods
by: Walker, Drew, et al.
Published: (2025)

MultiADE: A Multi-domain Benchmark for Adverse Drug Event Extraction
by: Dai, Xiang, et al.
Published: (2024)

Leveraging large language models and traditional machine learning ensembles for ADHD detection from narrative transcripts
by: Zhu, Yuxin, et al.
Published: (2025)

Effect of Natural Polyphenols on Breast Cancer Chemoprevention and Treatment
by: Marzia Sichetti, et al.
Published: (2025)

Improving Clinical Decision Support through Interpretable Machine Learning and Error Handling in Electronic Health Records
by: Arora, Mehak, et al.
Published: (2023)

Quantitative Indices for Improving Metro Load Curve, Using Distributed Generation
by: Behbahani, Masoud, et al.
Published: (2025)

Personality Analysis for Social Media Users using Arabic language and its Effect on Sentiment Analysis
by: Dandash, Mokhaiber, et al.
Published: (2024)

Patient-Centered, Graph-Augmented Artificial Intelligence-Enabled Passive Surveillance for Early Stroke Risk Detection in High-Risk Individuals
by: Kim, Jiyeong, et al.
Published: (2026)