找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Smart Health; International Confer Chunxiao Xing,Yong Zhang,Ye Liang Conference proceedings 2017 Springer International Publishing AG 2017

[復制鏈接]
查看: 12874|回復: 56
樓主
發(fā)表于 2025-3-21 18:56:34 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Smart Health
副標題International Confer
編輯Chunxiao Xing,Yong Zhang,Ye Liang
視頻videohttp://file.papertrans.cn/869/868808/868808.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Smart Health; International Confer Chunxiao Xing,Yong Zhang,Ye Liang Conference proceedings 2017 Springer International Publishing AG 2017
描述This book constitutes the thoroughly refereed post-conference proceedings of theInternational Conference for Smart Health, ICSH 2016, held in Haikou, Hainan, China, in December 2016..The 23 full papers presented were carefully reviewed and selected from 52 submissions.They are organized around the following topics: big data and smart health; health data analysis and management; healthcare intelligent systems and clinical practice; medical monitoring and information extraction; clinical and medical data mining..
出版日期Conference proceedings 2017
關(guān)鍵詞big data; smart health; health data analysis; health management; healthcare intelligent systems; clinical
版次1
doihttps://doi.org/10.1007/978-3-319-59858-1
isbn_softcover978-3-319-59857-4
isbn_ebook978-3-319-59858-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2017
The information of publication is updating

書目名稱Smart Health影響因子(影響力)




書目名稱Smart Health影響因子(影響力)學科排名




書目名稱Smart Health網(wǎng)絡(luò)公開度




書目名稱Smart Health網(wǎng)絡(luò)公開度學科排名




書目名稱Smart Health被引頻次




書目名稱Smart Health被引頻次學科排名




書目名稱Smart Health年度引用




書目名稱Smart Health年度引用學科排名




書目名稱Smart Health讀者反饋




書目名稱Smart Health讀者反饋學科排名




單選投票, 共有 1 人參與投票
 

1票 100.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 23:35:15 | 只看該作者
板凳
發(fā)表于 2025-3-22 02:12:24 | 只看該作者
Conference proceedings 2017ollowing topics: big data and smart health; health data analysis and management; healthcare intelligent systems and clinical practice; medical monitoring and information extraction; clinical and medical data mining..
地板
發(fā)表于 2025-3-22 06:40:07 | 只看該作者
0302-9743 submissions.They are organized around the following topics: big data and smart health; health data analysis and management; healthcare intelligent systems and clinical practice; medical monitoring and information extraction; clinical and medical data mining..978-3-319-59857-4978-3-319-59858-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
5#
發(fā)表于 2025-3-22 12:35:54 | 只看該作者
6#
發(fā)表于 2025-3-22 15:53:59 | 只看該作者
AZPharm MetaAlert: A Meta-learning Framework for PharmacovigilanceAERS) and integrates ADR signals with stacking and bagging methods. Experiment results show that our approach achieves 71% in precision, 90% in recall, and 80% in f-measure for ADR signal detection and significantly outperforms the traditional signal detection methods.
7#
發(fā)表于 2025-3-22 19:26:55 | 只看該作者
MedC: Exploring and Predicting Medicine Interactions to Support Integrative Chinese Medicine Chinese medicine interactions and connect them with the clinical evidence documented in literature. The system can support Chinese medicine scholars and facilitate research on integrative Chinese medicine.
8#
發(fā)表于 2025-3-22 22:49:44 | 只看該作者
9#
發(fā)表于 2025-3-23 04:38:40 | 只看該作者
A Semi-automated Entity Relation Extraction Mechanism with Weakly Supervised Learning for Chinese Metructure, we propose a weakly supervised hypothesis to automatically generate positive sample training data. Finally, we use CNN model to extract medical entity relation. Experiments show that the method is feasible and accurate.
10#
發(fā)表于 2025-3-23 06:54:19 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-22 16:17
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復 返回頂部 返回列表
江山市| 崇阳县| 灵台县| 外汇| 台中县| 汉中市| 乌拉特前旗| 宜丰县| 久治县| 阳朔县| 大埔区| 长沙市| 南城县| 景谷| 福建省| 江川县| 铜山县| 临夏市| 中超| 镇巴县| 宜良县| 社旗县| 乡宁县| 达州市| 房山区| 溆浦县| 沿河| 麦盖提县| 曲麻莱县| 吉水县| 社会| 叙永县| 磐安县| 黔江区| 布尔津县| 广河县| 祁连县| 云霄县| 汉源县| 克拉玛依市| 宜兰市|