Information Retrieval · Computer Science
Review and Analysis of Pain Research Literature through Keyword Co-occurrence Networks
Burcu Ozek, Zhenyuan Lu, Fatemeh Pouromran, Sagar Kamarthi
2023-11-16
Information Retrieval · Computer Science
Investigating Dissemination of Scientific Information on Twitter: A Study of Topic Networks in Opioid Publications
Robin Haunschild, Lutz Bornmann, Devendra Potnis, Iman Tahamtan
2021-09-03
Biomolecules · Quantitative Biology
Machine-learning Analysis of Opioid Use Disorder Informed by MOR, DOR, KOR, NOR and ZOR-Based Interactome Networks
Hongsong Feng, Rana Elladki, Jian Jiang, Guo-Wei Wei
2023-01-13
Computers and Society · Computer Science
A Knowledge Graph-based Approach for Exploring the U.S. Opioid Epidemic
Maulik R. Kamdar, Tymor Hamamsy, Shea Shelton, Ayin Vala +3
2019-05-29
Artificial Intelligence · Computer Science
eDarkTrends: Harnessing Social Media Trends in Substance use disorders for Opioid Listings on Cryptomarket
Usha Lokala, Francois Lamy, Triyasha Ghosh Dastidar, Kaushik Roy +3
2021-03-30
Computation and Language · Computer Science
Computational analysis of the language of pain: a systematic review
Diogo A. P. Nunes, Joana Ferreira-Gomes, Fani Neto, David Martins de Matos
2024-05-13
Machine Learning · Computer Science
"Can We Detect Substance Use Disorder?": Knowledge and Time Aware Classification on Social Media from Darkweb
Usha Lokala, Orchid Chetia Phukan, Triyasha Ghosh Dastidar, Francois Lamy +2
2023-04-21
Machine Learning · Statistics
An innovative solution for breast cancer textual big data analysis
Nicolas Thiebaut, Antoine Simoulin, Karl Neuberger, Issam Ibnouhsein +4
2021-01-04
Computers and Society · Computer Science
Patterns of Routes of Administration and Drug Tampering for Nonmedical Opioid Consumption: Data Mining and Content Analysis of Reddit Discussions
Duilio Balsamo, Paolo Bajardi, Alberto Salomone, Rossano Schifanella
2021-02-23
Artificial Intelligence · Computer Science
From Wearables to Warnings: Predicting Pain Spikes in Patients with Opioid Use Disorder
Abhay Goyal, Navin Kumar, Kimberly DiMeola, Rafael Trujillo +6
2026-01-13
Quantitative Methods · Quantitative Biology
Discovering heterogeneous subpopulations for fine-grained analysis of opioid use and opioid use disorders
Jen J. Gong, Abigail Z. Jacobs, Toby E. Stuart, Mathijs de Vaan
2019-05-03
Computation and Language · Computer Science
Machine Learning Approach for Cancer Entities Association and Classification
G. Jeyakodi, Arkadeep Pal, Debapratim Gupta, K. Sarukeswari +1
2023-06-27
Econometrics · Economics
Interactive Network Visualization of Opioid Crisis Related Data- Policy, Pharmaceutical, Training, and More
Olga Scrivner, Elizabeth McAvoy, Thuy Nguyen, Tenzin Choeden +2
2021-02-11
Applications · Statistics
Associations between pain-management treatments and opioid use disorder risk among Medicaid patients
Kara E. Rudolph, Nicholas T. Williams, Ivan Diaz, Sarah Forrest +6
2024-04-19
Social and Information Networks · Computer Science
Large-Scale Analysis of Online Questions Related to Opioid Use Disorder on Reddit
Tanmay Laud, Akadia Kacha-Ochana, Steven A. Sumner, Vikram Krishnasamy +4
2025-04-14
Machine Learning · Computer Science
Causal Machine Learning for Patient-Level Intraoperative Opioid Dose Prediction from Electronic Health Records
Jonas Valbjørn Andersena, Anders Peder Højer Karlsen, Markus Harboe Olsen, Nikolaj Krebs Pedersen
2025-08-13
Computation and Language · Computer Science
Social Media as a Sensor: Analyzing Twitter Data for Breast Cancer Medication Effects Using Natural Language Processing
Seibi Kobara, Alireza Rafiei, Masoud Nateghi, Selen Bozkurt +2
2024-07-30
Computation and Language · Computer Science
Drug Repurposing for Cancer: An NLP Approach to Identify Low-Cost Therapies
Shivashankar Subramanian, Ioana Baldini, Sushma Ravichandran, Dmitriy A. Katz-Rogozhnikov +6
2019-12-06
Machine Learning · Computer Science
Development of a Knowledge Graph Embeddings Model for Pain
Jaya Chaturvedi, Tao Wang, Sumithra Velupillai, Robert Stewart +1
2023-08-21
Computation and Language · Computer Science
Understanding Clinical Trial Reports: Extracting Medical Entities and Their Relations
Benjamin E. Nye, Jay DeYoung, Eric Lehman, Ani Nenkova +2
2022-01-11