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researcher

Arash Shaban-Nejad

University of Tennessee Health Science Center

12 papers hereh-index 201.6k citations115 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2
  • last author9

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.CY7
  • cs.AI2
  • cs.LG2
  • cs.IR1
affiliations
  • University of Tennessee Health Science Center
Homepage

identity via Semantic Scholar / OpenAlex

activity
20092024
most citedPublic sentiment analysis and topic modeling regarding COVID-19 vaccines on the Reddit social media platform: A call to action for strengthening vaccine confidence

220 citations · 501 across the 12 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2024

Exploring Bias and Prediction Metrics to Characterise the Fairness of Machine Learning for Equity-Centered Public Health Decision-Making: A Narrative Review

Shaina Raza, Arash Shaban-Nejad, Elham Dolatabadi +1

Background: The rapid advancement of Machine Learning (ML) represents novel opportunities to enhance public health research, surveillance, and decision-making. However, there is a…

cs.LG2021★ 98 cited

Predicting Intensive Care Unit Length of Stay and Mortality Using Patient Vital Signs: Machine Learning Model Development and Validation

Khalid Alghatani, Nariman Ammar, Abdelmounaam Rezgui +1

Patient monitoring is vital in all stages of care. We here report the development and validation of ICU length of stay and mortality prediction models. The models will be used in a…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.