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Article | 12-April-2018

Research and Application of an Intelligent Decision Support System

This paper discusses a new decision-support system that integrates data warehouse, knowledge warehouse and model warehouse. Contrast to the fixed model of the old decision-support system and its limited application, the new system can overcome the shortcoming of the old system efficiently, and also it can simplify model-obtaining and coding. So the new system strengthens the effectiveness, intelligence and efficiency of the decision.

Xiaoqing Zhou, Zhiyong Zhou, Jianqiong Xiao, Jiaxiu Sun

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 3, 141–144

Research Article | 27-December-2017

AN INTELLIGENT FLOOD CONTROL DECISION SUPPORT SYSTEM FOR DIGITAL URBAN MANAGEMENT

Digital Urban Management has become a trend in the development of contemporary cities. This paper presents the design and implementation of an intelligent flood control decision support system (IFCDSS) using statistical analysis to determine the relationship between the data, and integrate data mining technology for digital urban management based on Java EE. The system also provides location-based decision making in urban management by using the Baidu Maps API.

Guanlin Chen, Xinxin Sun, Shengquan Li, Jiang He, Jiawei Zhang

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 1, 161–177

research-article | 30-November-2018

Development of a decision support system for managing Heterodera schahtii in sugar beet production

Zahra S. Omer, Jens Levenfors, Susanne Andersson, Ann-Charlotte Wallenhammar

Journal of Nematology, Volume 51 , 1–11

Research Article | 12-September-2018

ECG Decision Support System based on feedforward Neural Networks

Abstract The success of an Electrocardiogram (ECG) Decision Support System (DSS) requires the use of an optimum machine learning approach. For this purpose, this paper investigates the use of three feedforward neural networks; the Multilayer Perceptron (MLP), the Radial Basic Function Network (RBF), and the Probabilistic Neural Network (PNN) for recognition of normal and abnormal heartbeats. Feature sets were based on ECG morphology and Discrete Wavelet Transformer (DWT) coefficients. Then, a

Hela Lassoued, Raouf Ketata, Slim Yacoub

International Journal on Smart Sensing and Intelligent Systems, Volume 11 , ISSUE 1, 1–15

Research Article | 21-April-2017

Urban sustainable mobility. Part 2: Simulation models and impacts estimation

Armando CARTENÌ

Transport Problems, Volume 10 , ISSUE 1, 5–16

Article | 17-November-2020

A practice guideline and decision aid for blood transfusion

An attempt was made to reduce exposure of patients to blood products by using a point-of-ordering decision support system and strict adherence to a practice guideline, by observing physician behavior in the multidisciplinary intensive-care unit (ICU) of a tertiary-care medical center. Hemoglobin (Hg) level at the time of transfusion, total units of red blood cells (RBCs) per admission, units per patient per ICU day, fraction of patients receiving no transfusions, and incidence of single-unit

Benjamin Littenberg, Howard Corwin, Andrew Gettinger, Joshua Leihter, James P. AuBuchon

Immunohematology, Volume 11 , ISSUE 3, 88–94

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