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Titlebook: Health Information Science; 12th International C Yan Li,Zhisheng Huang,Rui Zhou Conference proceedings 2023 The Editor(s) (if applicable) a

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書目名稱Health Information Science
副標(biāo)題12th International C
編輯Yan Li,Zhisheng Huang,Rui Zhou
視頻videohttp://file.papertrans.cn/425/424712/424712.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Health Information Science; 12th International C Yan Li,Zhisheng Huang,Rui Zhou Conference proceedings 2023 The Editor(s) (if applicable) a
描述.This book constitutes the refereed proceedings of the 12th International Conference?on?Health Information Science, HIS 2023, held in Melbourne, VIC, Australia,?during?October 23–24, 2023..The 20 full papers and 9 short papers included in this book were carefully reviewed and?selected from 54 submissions. They were organized in topical sections as follows:?Depression & Mental Health, Data Security, Privacy & Healthcare Systems, Neurological & Cognitive Disease Studies, COVID-19 Impact Studies, Advanced Medical Data & AI Techniques, Predictive Analysis & Disease Recognition, Medical Imaging & Dataset Exploration, Elderly Care and Knowledge Systems..
出版日期Conference proceedings 2023
關(guān)鍵詞artificial intelligence; bioinformatics; computer aided diagnosis; computer networks; computer vision; co
版次1
doihttps://doi.org/10.1007/978-981-99-7108-4
isbn_softcover978-981-99-7107-7
isbn_ebook978-981-99-7108-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

書目名稱Health Information Science影響因子(影響力)




書目名稱Health Information Science影響因子(影響力)學(xué)科排名




書目名稱Health Information Science網(wǎng)絡(luò)公開度




書目名稱Health Information Science網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Health Information Science被引頻次




書目名稱Health Information Science被引頻次學(xué)科排名




書目名稱Health Information Science年度引用




書目名稱Health Information Science年度引用學(xué)科排名




書目名稱Health Information Science讀者反饋




書目名稱Health Information Science讀者反饋學(xué)科排名




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A Combined Attribute Extraction Method for?Detecting Postpartum Depression Using Social Mediast common words used by PPD and control group account holders here. Our strategy improves performance using integrated attribute extraction. Bigram best detects PPD with 82% accuracy and 0.80 F1 scores using the Random Forest (RF) classifier and single attribute extraction. SVM classifiers perform b
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Analysis on Association Between Vascular Risk Factors and Lifestyle Factors with the Risk of Dementiant to VRFs and lifestyle. Our analysis particularly emphasized: 1) hypertension, 2) diabetes mellitus (DM), 3) dyslipidemia, 4) obesity, 5) tobacco smoking, and 6) alcohol consumption, with the inclusion of regular physical exercise (RPE) as an influential lifestyle factor. The incidence rate for d
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