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Contact


Email

long.song@unimelb.edu.au

Credentials


Position
University Guest (Academic)
School of Computing and Information Systems
Education
PhD
Wuhan University
Bachelors Degree
Wuhan University
ORCID

0000-0001-8494-4364

Dr Long Song

University Guest (Academic)
School of Computing and Information Systems

11 Scholarly works
0 Projects

HIGHLIGHTS

  • 2026

    Conference Proceedings

    Improving Emergency Department Decision-Making Through High-Cardinality Feature Integration
    DOI: 10.1007/978-3-032-10685-8_9
  • 2026

    Conference Proceedings

    Order-Aware Metric Learning for Electronic Health Records Applications
    DOI: 10.5220/0014316000004070
  • 2025

    Journal article

    Development of a Machine Learning Model for Predicting Treatment-Related Amenorrhea in Young Women with Breast Cancer
    DOI: 10.3390/bioengineering12111171
  • 2025

    Journal article

    Developing interpretable machine learning models to predict length of stay and disposition decision for adult patients in emergency departments
    DOI: 10.1136/bmjhci-2024-101152
  • 2024

    Conference Proceedings

    Enhancing Predictive Modeling in Emergency Departments
    DOI: 10.5220/0012568900003699
  • 2022

    Conference Proceedings

    Predicting individualised risk of developing amenorrhoea in young breast cancer patients: an international multi-cohort study
  • 2022

    Conference Proceedings

    O-197 Predicting individualised risk of developing amenorrhoea in young breast cancer patients: an international multi-cohort study
    DOI: 10.1093/humrep/deac105.111
Long Song

RECENT SCHOLARLY WORKS

  • 2021

    Journal article

    A Chromosome-Scale Assembly of the Wheat Leaf Rust Pathogen Puccinia triticina Provides Insights Into Structural Variations and Genetic Relationships With Haplotype Resolution
    DOI: 10.3389/fmicb.2021.704253
  • 2020

    Journal article

    Integrated Analysis of Gene Expression, SNP, InDel, and CNV Identifies Candidate Avirulence Genes in Australian Isolates of the Wheat Leaf Rust PathogenPuccinia triticina
    DOI: 10.3390/genes11091107
  • 2020

    Journal article

    Long-Read-Basedde novoGenome Assembly and Comparative Genomics of the Wheat Leaf Rust PathogenPuccinia triticinaIdentifies Candidates for Three Avirulence Genes
    DOI: 10.3389/fgene.2020.00521

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