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researcher

S. Shashikumar

3 papers here

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

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.LG1
  • q-bio.NC1

identity via Semantic Scholar / OpenAlex

most citedDoes the "Artificial Intelligence Clinician" learn optimal treatment strategies for sepsis in intensive care?

6 citations · 6 across the 1 of their papers we have counts for

collaborators

3 papers

cs.LG2019

DeepAISE -- An End-to-End Development and Deployment of a Recurrent Neural Survival Model for Early Prediction of Sepsis

Supreeth P. Shashikumar, Christopher Josef, Ashish Sharma +1

Sepsis, a dysregulated immune system response to infection, is among the leading causes of morbidity, mortality, and cost overruns in the Intensive Care Unit (ICU). Early predictio…

cs.AI2019★ 6 cited

Does the "Artificial Intelligence Clinician" learn optimal treatment strategies for sepsis in intensive care?

Russell Jeter, Christopher Josef, Supreeth Shashikumar +1

From 2017 to 2018 the number of scientific publications found via PubMed search using the keyword "Machine Learning" increased by 46% (4,317 to 6,307). The results of studies invol…

q-bio.NC2018

Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural Networks

Supreeth P. Shashikumar, Amit J. Shah, Gari D. Clifford +1

Detection of atrial fibrillation (AF), a type of cardiac arrhythmia, is difficult since many cases of AF are usually clinically silent and undiagnosed. In particular paroxysmal AF…

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