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researcher

E. Habermann

2 papers here

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

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.IR1
  • stat.AP1

identity via Semantic Scholar / OpenAlex

most citedA Hierarchical Bayesian Model for Stochastic Spatiotemporal SIR Modeling and Prediction of COVID-19 Cases and Hospitalizations

1 citations · 1 across the 1 of their papers we have counts for

collaborators

2 papers

stat.AP2021★ 1 cited

A Hierarchical Bayesian Model for Stochastic Spatiotemporal SIR Modeling and Prediction of COVID-19 Cases and Hospitalizations

Curtis B. Storlie, Ricardo L. Rojas, Gabriel O. Demuth +18

Most COVID-19 predictive modeling efforts use statistical or mathematical models to predict national- and state-level COVID-19 cases or deaths in the future. These approaches assum…

cs.IR2018

Detection of Surgical Site Infection Utilizing Automated Feature Generation in Clinical Notes

Feichen Shen, David W Larson, James M. Naessens +3

Postsurgical complications (PSCs) are known as a deviation from the normal postsurgical course and categorized by severity and treatment requirements. Surgical site infection (SSI)…

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