Additional file 1 of A novel method for screening malignant hematological diseases by constructing an optimal machine learning model based on blood cell parameters

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Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.28396759.v1
Primary Topic
Digital Imaging for Blood Diseases
Type
article
Field-Weighted Citation Impact
0.00
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article

Additional file 1 of A novel method for screening malignant hematological diseases by constructing an optimal machine learning model based on blood cell parameters

Figshare
Digital Imaging for Blood Diseases
article

Additional file 1 of A novel method for screening malignant hematological diseases by constructing an optimal machine learning model based on blood cell parameters

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Abstract

No abstract available for this paper.
Figshare
Sun Yat-sen University (CN), Shanghai Jiao Tong University (CN), Peking University (CN), Sichuan University (CN), Soochow University (CN), West China Hospital of Sichuan University (CN), Nanfang Hospital (CN), First Affiliated Hospital of Xi'an Jiaotong University (CN), The First Affiliated Hospital, Sun Yat-sen University (CN), Peking University First Hospital (CN), First Bethune Hospital of Jilin University (CN), First Affiliated Hospital of Soochow University (CN), Mindray (China) (CN), Huashan Hospital (CN), Tongji Hospital (CN)
Openalex Percentile: Top 52%
Digital Imaging for Blood Diseases
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Additional file 1 of A novel method for screening malignant hematological diseases by constructing an optimal machine learning model based on blood cell parameters · Figshare (2025) | TGRS Research Map | TGRS