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Radiomics from Various Tumour Volume Sizes for Prognosis Prediction of Head and Neck Squamous Cell Carcinoma: A Voted Ensemble Machine Learning Approach.

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Title: Radiomics from Various Tumour Volume Sizes for Prognosis Prediction of Head and Neck Squamous Cell Carcinoma: A Voted Ensemble Machine Learning Approach.
Authors: Tang FH; School of Medical and Health Sciences, Tung Wah College, Hong Kong, China., Cheung EY; School of Medical and Health Sciences, Tung Wah College, Hong Kong, China., Wong HL; School of Medical and Health Sciences, Tung Wah College, Hong Kong, China., Yuen CM; School of Medical and Health Sciences, Tung Wah College, Hong Kong, China., Yu MH; School of Medical and Health Sciences, Tung Wah College, Hong Kong, China., Ho PC; School of Medical and Health Sciences, Tung Wah College, Hong Kong, China.
Source: Life (Basel, Switzerland) [Life (Basel)] 2022 Sep 05; Vol. 12 (9). Date of Electronic Publication: 2022 Sep 05.
Publication Type: Journal Article
Journal Info: Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101580444 Publication Model: Electronic Cited Medium: Print ISSN: 2075-1729 (Print) Linking ISSN: 20751729 NLM ISO Abbreviation: Life (Basel) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Radiomics from Various Tumour Volume Sizes for Prognosis Prediction of Head and Neck Squamous Cell Carcinoma: A Voted Ensemble Machine Learning Approach.
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  Data: <searchLink fieldCode="AU" term="%22Tang+FH%22">Tang FH</searchLink>; School of Medical and Health Sciences, Tung Wah College, Hong Kong, China.<br /><searchLink fieldCode="AU" term="%22Cheung+EY%22">Cheung EY</searchLink>; School of Medical and Health Sciences, Tung Wah College, Hong Kong, China.<br /><searchLink fieldCode="AU" term="%22Wong+HL%22">Wong HL</searchLink>; School of Medical and Health Sciences, Tung Wah College, Hong Kong, China.<br /><searchLink fieldCode="AU" term="%22Yuen+CM%22">Yuen CM</searchLink>; School of Medical and Health Sciences, Tung Wah College, Hong Kong, China.<br /><searchLink fieldCode="AU" term="%22Yu+MH%22">Yu MH</searchLink>; School of Medical and Health Sciences, Tung Wah College, Hong Kong, China.<br /><searchLink fieldCode="AU" term="%22Ho+PC%22">Ho PC</searchLink>; School of Medical and Health Sciences, Tung Wah College, Hong Kong, China.
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  Data: <searchLink fieldCode="JN" term="%22101580444%22">Life (Basel, Switzerland)</searchLink> [Life (Basel)] 2022 Sep 05; Vol. 12 (9). <i>Date of Electronic Publication: </i>2022 Sep 05.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22MDPI+AG%22">MDPI AG </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101580444 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>2075-1729 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220751729%22">20751729 </searchLink><i>NLM ISO Abbreviation: </i>Life (Basel) <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.3390/life12091380
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      – Code: eng
        Text: English
    Titles:
      – TitleFull: Radiomics from Various Tumour Volume Sizes for Prognosis Prediction of Head and Neck Squamous Cell Carcinoma: A Voted Ensemble Machine Learning Approach.
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            NameFull: Cheung EY
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            NameFull: Wong HL
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            – D: 05
              M: 09
              Text: 2022 Sep 05
              Type: published
              Y: 2022
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              Value: 12
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              Value: 9
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