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Simultaneous modeling of disease screening and severity prediction: A multi-task and sparse regularization approach

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Year: 2025
Type: article
Source: Expert Systems with Applications
DOI: 10.1016/j.eswa.2025.129408
Authors: Kazuharu Harada, Shuichi Kawano, Masataka Taguri
Institutions: Tokyo Medical University, Kyushu University
Language: English

Topic: Statistical Methods and Inference
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
SDG: Good health and well-being

Open Access status: green

Funder: Japan Society for the Promotion of Science
Awards: ランダム化臨床試験におけるANCOVA推定量のバイアス補正とその拡張, G3099654432, G5451640502, 再現性ある医療ビッグデータ解析のためのモデル選択法, Advancement and Expansion of Theories and Methodologies for Large-Scale Complex Data, 複雑多様データに対する予測スパース統計モデリング手法の開発研究, Modeling Outliers within the Framework of Missing Data Analysis and Development of Unbiased and Efficient Estimators
OpenAlex ID: W4413325386
FWCI:
Cites: 68
Cited by:
Related to: 10
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