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researcher

Zhe He

7 papers hereh-index 201.6k citations91 works total

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

author position
  • first author1
  • middle author4
  • last author2

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.CY2
  • cs.CL1
  • stat.AP1
same name
  • Zhe He — 8 papers, h 5
  • Zhe He — 5 papers, h 8
  • Zhe He — 5 papers, h 4
  • Zhe He — 3 papers, h 15
  • Zhe He — 3 papers, h 6
  • Zhe He — 3 papers, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182023
most citedEnhancing Prediction Models for One-Year Mortality in Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome

7 citations · 25 across the 7 of their papers we have counts for

collaborators
Showing cs.LGShow all

3 papers · 1 filter

cs.LG2022★ 2 cited

Temporal Subtyping of Alzheimer's Disease Using Medical Conditions Preceding Alzheimer's Disease Onset in Electronic Health Records

Zhe He, Shubo Tian, Arslan Erdengasileng +2

Subtyping of Alzheimer's disease (AD) can facilitate diagnosis, treatment, prognosis and disease management. It can also support the testing of new prevention and treatment strateg…

cs.LG2019★ 7 cited

Enhancing Prediction Models for One-Year Mortality in Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome

Seyedeh Neelufar Payrovnaziri, Laura A. Barrett, Daniel Bis +2

Predicting the risk of mortality for patients with acute myocardial infarction (AMI) using electronic health records (EHRs) data can help identify risky patients who might need mor…

cs.LG2018★ 3 cited

Building Computational Models to Predict One-Year Mortality in ICU Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome

Laura A. Barrett, Seyedeh Neelufar Payrovnaziri, Jiang Bian +1

Heart disease remains the leading cause of death in the United States. Compared with risk assessment guidelines that require manual calculation of scores, machine learning-based pr…

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