Biography and Research Information

OverviewAI-generated summary

Nahiyan Bin Noor investigates the application of machine learning techniques to address challenges in diverse fields, including healthcare and online communication. His research has focused on predicting toxicity in online discourse, such as on Reddit and in music lyrics, and comparing these patterns across social media platforms during events like the COVID-19 pandemic.

Further work by Bin Noor explores critical healthcare applications, including the development of algorithms to predict patient outcomes like retention, overdoses, and mortality among veterans undergoing treatment for opioid use disorder. He has also contributed to studies examining the association between different care delivery models and patient outcomes for opioid use disorder. Additionally, his research interests extend to sustainable healthcare infrastructure, with investigations into renewable energy microgrids for healthcare facilities and the strategic utilization of dispatchable loads for improved reserve deliverability.

Metrics

  • h-index: 4
  • Publications: 12
  • Citations: 81

Selected Publications

  • Association between different modalities of opioid use disorder-related care delivery and opioid use disorder-related patient outcomes: A retrospective cohort study (2025) DOI
  • Development and Validation of Machine-Learning Algorithms Predicting Retention, Overdoses, and All-Cause Mortality Among US Military Veterans Treated with Buprenorphine for Opioid Use Disorder (2025) DOI
  • Development and validation of machine-learning algorithms predicting retention, overdoses, and all-cause mortality among US military veterans treated with buprenorphine for opioid use disorder (2024) DOI
  • Examining Toxicity’s Impact on Reddit Conversations (2024) DOI
  • A Systematic Approach to Predict Anemia from Eye Conjunctiva Images (2023) DOI
  • Towards Carbon-Neutral Healthcare Facilities: Design and Evaluation of a Renewable Energy Microgrid (2023) DOI
  • Strategic Utilization of Dispatchable Loads and Nodal Reserves for Improved Reserve Deliverability (2023) DOI
  • An Efficient Technique of Predicting Toxicity on Music Lyrics Machine Learning (2023) DOI
  • A Survey on Neural and Non-Neural Network Based Approaches to Classify Images and Signals (2023) DOI

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