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Fahime Shahrokh

3 papers hereh-index 312 citations5 works total

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

author position
  • first author1
  • last author2

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

fields
  • cs.CL2
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20222024
most citedIntegration of Text and Graph-based Features for Detecting Mental Health Disorders from Voice

4 citations · 7 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CL2024★ 2 cited

Enhancing Readmission Prediction with Deep Learning: Extracting Biomedical Concepts from Clinical Texts

Rasoul Samani, Mohammad Dehghani, Fahime Shahrokh

Hospital readmission, defined as patients being re-hospitalized shortly after discharge, is a critical concern as it impacts patient outcomes and healthcare costs. Identifying pati…

cs.CL2023★ 1 cited

Multi-level biomedical NER through multi-granularity embeddings and enhanced labeling

Fahime Shahrokh, Nasser Ghadiri, Rasoul Samani +1

Biomedical Named Entity Recognition (NER) is a fundamental task of Biomedical Natural Language Processing for extracting relevant information from biomedical texts, such as clinica…

cs.LG2022★ 4 cited

Integration of Text and Graph-based Features for Detecting Mental Health Disorders from Voice

Nasser Ghadiri, Rasoul Samani, Fahime Shahrokh

With the availability of voice-enabled devices such as smart phones, mental health disorders could be detected and treated earlier, particularly post-pandemic. The current methods…

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