| 查看: 3940 | 回复: 14 | |||
[交流]
求助一篇文章的SCI检索号，多谢
|
|||
|
题目：Artificial neural network models for predicting 1-year mortality in elderly patients with intertrochanteric fractures in China. 作者：Shi L, Wang XC, Wang YS. 哪位好心人帮我查一下这篇文章的检索号，多谢啦！ |
回复此楼» 猜你喜欢
听说今天filecode变了
已经有48人回复
-
FileCode能看出啥？
已经有17人回复
-
奇怪，两个人的filecode固定段从头到尾一模一样
已经有6人回复
-
filecode
已经有9人回复
-
应该是93bebmhtak前后十一个字符比较关键
已经有23人回复
-
我的国基提前知道中了，可是同事的操作让我实在接受不了，怎么会有这样的人
已经有13人回复
-
小木虫上这么多卖论文的，真有人买论文么？感觉没必要啊
已经有6人回复
-
为什么网上很多人说本周 12号出结果
已经有5人回复
-
帮忙看看fileCode
已经有11人回复
-
基金中了
已经有15人回复
» 抢金币啦！回帖就可以得到:
-
三(三甲基硅基)甘油醚（CAS：6787-10-6 ）
+1/88
-
3-丁烯-1-醇（CAS：627-27-0）
+1/87
-
1,3,2-Dioxaphospholane, 2-(2,2,3,3,3-pentafluoropropoxy)-
+1/86
-
三氟甲基亚磺酸锂
+1/86
-
3-羟基丙腈（CAS：109-78-4）
+1/86
-
三(三甲基硅基)硼酸酯（CAS：4325-85-3）
+1/84
-
中国科学技术大学-苏州国家实验室联培招生-本科直博/硕博连读/申请考核三种方式
+1/79
-
香港城市大学郑星课题组诚聘博士后 (生态学、环境科学、植物学、大气科学背景)
+1/78
-
具身智能机器人公司招聘机械结构岗位（工程师、专家、负责人均可）薪酬最高150万
+1/75
-
天津大学环境学院童银栋教授招收博士后（生源要素循环/温室效应/新污染物方向）
+1/35
-
同济大学环境学院肖倩课题组2026年补充招收推免生
+1/27
-
中国科学院西双版纳热带植物园人事处招聘
+1/26
-
北京理工大学-集成电路与电子学院杰青团队-招博士后
+1/24
-
同济大学环境学院肖倩课题组2026年补充招收推免生
+1/8
-
香港理工大学殷骏课题组诚聘1 名博士后以及2 名博士生
+1/4
-
北京理工大学-集成电路与电子学院杰青团队-招博士后
+1/4
-
天津大学张小岩教授团队招收2027级推免生（光电子能源、热管理材料与器件、微纳传感）
+1/4
-
夏尽秋来，蓄力沉淀，静待硕果成文
+1/4
-
请大家抽空欣赏一下我们网站的配图
+1/2
-
北京理工大学-集成电路与电子学院杰青团队-招博士后
+1/1
8楼2013-12-18 17:50:59
2楼2013-12-16 20:49:47
5楼2013-12-17 15:51:43
7楼2013-12-18 15:17:41
9楼2013-12-18 18:00:53
10楼2014-01-02 11:39:24
11楼2014-01-02 11:55:24
12楼2014-01-02 11:55:55
13楼2014-02-07 13:18:30
14楼2014-02-07 14:25:07
|
Artificial neural network models for predicting 1-year mortality in elderly patients with intertrochanteric fractures in China 作者:Shi, L (Shi, L.)[ 1 ] ; Wang, XC (Wang, X. C.)[ 1 ] ; Wang, YS (Wang, Y. S.)[ 2 ] BRAZILIAN JOURNAL OF MEDICAL AND BIOLOGICAL RESEARCH 卷: 46 期: 11 页: 993-999 DOI: 10.1590/1414-431X20132948 出版年: NOV 2013 查看期刊信息 摘要 The mortality rate of older patients with intertrochanteric fractures has been increasing with the aging of populations in China. The purpose of this study was: 1) to develop an artificial neural network (ANN) using clinical information to predict the 1-year mortality of elderly patients with intertrochanteric fractures, and 2) to compare the ANN's predictive ability with that of logistic regression models. The ANN model was tested against actual outcomes of an intertrochanteric femoral fracture database in China. The ANN model was generated with eight clinical inputs and a single output. ANN's performance was compared with a logistic regression model created with the same inputs in terms of accuracy, sensitivity, specificity, and discriminability. The study population was composed of 2150 patients (679 males and 1471 females): 1432 in the training group and 718 new patients in the testing group. The ANN model that had eight neurons in the hidden layer had the highest accuracies among the four ANN models: 92.46 and 85.79% in both training and testing datasets, respectively. The areas under the receiver operating characteristic curves of the automatically selected ANN model for both datasets were 0.901 (95%CI=0.814-0.988) and 0.869 (95%CI=0.748-0.990), higher than the 0.745 (95%CI=0.612-0.879) and 0.728 (95%CI=0.595-0.862) of the logistic regression model. The ANN model can be used for predicting 1-year mortality in elderly patients with intertrochanteric fractures. It outperformed a logistic regression on multiple performance measures when given the same variables. 关键词 作者关键词:Artificial neural network; Intertrochanteric fracture; Outcome prediction; One-year mortality KeyWords Plus:HIP FRACTURE; LOGISTIC-REGRESSION; SURGERY; METAANALYSIS; INJURY; LEVEL; TREES 作者信息 通讯作者地址: Wang, YS (通讯作者) Liaoning Med Univ, Affiliated Hosp 1, Dept Orthoped, 5-2 Renmin St, Jinzhou 121000, Liaoning Provin, Peoples R China. 地址: 显示增强组织信息的名称 [ 1 ] Dalian Maritime Univ, Informat Sci & Technol Coll, Dalian, Peoples R China [ 2 ] Liaoning Med Univ, Affiliated Hosp 1, Dept Orthoped, Jinzhou 121000, Liaoning Provin, Peoples R China 电子邮件地址:wys200910130@163.com 出版商 ASSOC BRAS DIVULG CIENTIFICA, FACULDADE MEDICINA, SALA 21, 14049 RIBEIRAO PRETO, SAO PAULO, 00, BRAZIL 类别 / 分类 研究方向:Life Sciences & Biomedicine - Other Topics; Research & Experimental Medicine Web of Science 类别:Biology; Medicine, Research & Experimental 文献信息 文献类型:Article 语种:English 入藏号: WOS:000328203500012 ISSN: 0100-879X 其他信息 IDS 号: 268XH Web of Science 核心合集中的 "引用的参考文献": 29 Web of Science 核心合集中的 "被引频次": 0 [ 发自手机版 http://muchong.com/3g ] |
15楼2014-02-10 10:41:14
简单回复
2013-12-16 20:58
回复
——好好学习4楼
2013-12-16 21:08
回复
深海20136楼
2013-12-18 12:07
回复
祝福 [ 发自小木虫客户端 ]
