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researcher

V. Eapen

1 paper here

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

author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • q-bio.QM1

identity via Semantic Scholar / OpenAlex

most citedPredicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data

82 citations · 82 across the 1 of their papers we have counts for

collaborators

1 paper

q-bio.QM2020★ 82 cited

Predicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data

Sakifa Aktar, Md. Martuza Ahamad, Md. Rashed-Al-Mahfuz +9

Introduction: For COVID-19 patients accurate prediction of disease severity and mortality risk would greatly improve care delivery and resource allocation. There are many patient-r…

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