Behzad Naderalvojoud

Stanford University — United States

Computer Science · Physical Sciences

7h-index135citations22works1.42yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Sentiment Analysis and Opinion Mining(5), Text and Document Classification Technologies(5), Imbalanced Data Classification Techniques(5), Topic Modeling(4), Health Systems, Economic Evaluations, Quality of Life(3)

Publications22 total

Cost-Benefit Analysis of Preventing Acute Care Use in Oncology Patients Following Systemic Therapy Using Medicare Claims Data: Retrospective Cohort Study
JMIR Medical Informatics·2025Open Access
Cost-Benefit Analysis of Acute Care Utilization Prevention in Post-Therapy Oncology Patients Using Medicare Claims Data (Preprint)
2025Open Access
Evaluating the impact of data biases on algorithmic fairness and clinical utility of machine learning models for prolonged opioid use prediction
JAMIA Open·2025· 2 citedOpen Access
Ensemble learning to enhance accurate identification of patients with glaucoma using electronic health records
JAMIA Open·2025Open Access
Post-operative pain management in elders
Heliyon·2025Open Access
Cost-benefit analysis of acute care utilization prevention in post-therapy oncology patients using medicare claims data (Preprint)
2025
Abstract 7428: Predicting acute care utilization following cancer treatment using machine learning: A patient-centered approach to precision oncology
Cancer Research·2025
Towards global model generalizability: independent cross-site feature evaluation for patient-level risk prediction models using the OHDSI network
Journal of the American Medical Informatics Association·2024· 9 citedOpen Access
Trends in Influenza Vaccination Rates among a Medicaid Population from 2016 to 2021
Vaccines·2023· 3 citedOpen Access
A Comparative Study of Deep Learning Models on Tropospheric Ozone Forecasting Using Feature Engineering Approach
Atmosphere·2023· 8 citedOpen Access
Improving machine learning with ensemble learning on observational healthcare data.
PubMed·2023· 20 citedOpen Access
Event-Based Data Monitoring and Analytics Approach for Healthcare Systems
SSRN Electronic Journal·2022Open Access
A non-sequential refinement approach to improve word embeddings using GPU-based string matching algorithms
Cluster Computing·2021· 2 cited
Sentiment aware word embeddings using refinement and senti-contextualized learning approach
Neurocomputing·2020· 35 cited
Neural Word Embeddings for Sentiment Analysis
Hacettepe University Institutional Repository (hacettepe.edu.tr)·2020Open Access
Term evaluation metrics in imbalanced text categorization
Natural Language Engineering·2019· 10 cited
A Cross-Lingual Approach for Building Multilingual Sentiment Lexicons
Lecture notes in computer science·2018· 2 cited
HUMIR at IEST-2018: Lexicon-Sensitive and Left-Right Context-Sensitive BiLSTM for Implicit Emotion Recognition
2018· 6 citedOpen Access
SentiWordNet for New Language: Automatic Translation Approach
2016· 23 cited
Imbalanced Text Categorization Based on Positive and Negative Term Weighting Approach
Lecture notes in computer science·2015· 7 cited
page 1 of 2Next →

Frequent Co-authors

Tina Hernandez‐Boussard(10), Ebru Akçapınar Sezer(7), Mohana Roy(4), Alaettin Uçan(3), Catherine Curtin(3), Tina Seto(3), Lü Tian(3), Keith Humphreys(2), Steven M. Asch(2), Sara Alessandra Keller(2), Suzann Pershing(2), Hayri Sever(1), Chen Yanover(1), Tal El‐Hay(1), Byungjin Choi(1), Rae Woong Park(1), Javier Gracia‐Tabuenca(1), Mary Pat Reeve(1), Thomas Falconer(1), Ahmet Selman Bozkır(1)