Integrating gis components with knowledge discovery technology for environmental health decision support

Bédard, Yvan; Gosselin, Pierre; Rivest, Sonia; Proulx, Marie-Josée; Nadeau, Martin; Lebel, Germain; Gagnon, M.

doi:10.1016/s1386-5056(02)00126-0

Cited by 65 publications

(33 citation statements)

References 1 publication

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“…One of the tools that can assess the distribution of the disease, determine high risk areas and the impact of environmental factors is Geographical information system. There are several studies on usage of this system in the same disease (Bédard et al, 2003;Poulstrup and Hansen, 2004;Çetin et al, 2005;Yomralioglu et al, 2009). Given attention to the point that the knowledge of locational characteristics of the disease incidence can help in prioritizing and giving suitable healthcare and also, due to the absence of similar studies which analyze stomach cancer in Iran, we decided to investigate the spatial distribution pattern of stomach cancer in Iran…”

Section: Spatial Analysis Of Stomach Cancer Incidence In Iranmentioning

confidence: 99%

Spatial Analysis of Stomach Cancer Incidence in Iran

Pakzad¹,

Khani²,

Pakzad³

et al. 2016

Asian Pacific Journal of Cancer Prevention

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Stomach cancer, the fourth most common cancer and the second leading cause of cancer-related death through the world, is very common in parts of Iran. Geographic variation in the incidence of stomach cancer is due to many different factors. The aim of this study was to assess the geographical and spatial distribution of stomach cancer in Iran using data from the cancer registry program in Iran for the year 2009. The reported incidences of stomach cancer for different provinces were standardized to the world population structure. ArcGIS software was used to analyse the data. Hot spots and high risk areas were determined using spatial analysis (Getis-Ord Gi). Hot and cold spots were determined as more than or less than 2 standard deviations from the national average, respectively. A significance level of 0.10 was used for statistical judgment. In 2009, a total of 6,886 cases of stomach cancers were reported of which 4,891 were in men and 1,995 in women (standardized incidence rates of 19.2 and 10.0, respectively, per 100,000 population). The results showed that stomach cancer was concentrated mainly in northwest of the country in both men and women. In women, northwest provinces such as Ardebil, East Azerbaijan, West Azerbaijan, Gilan, and Qazvin were identified as hot spots (p<0.1). In men, all northwest provinces, Ardabil, East Azerbaijan, Gilan, Qazvin, Zanjan and Kurdistan, the incidences were higher than the national average and these were identified as hot spots (P<0.01). As stomach cancer is clustered in the northwest of the country, further epidemiological studies are needed to identify factors contributing to this concentration.

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Section: Spatial Analysis Of Stomach Cancer Incidence In Iranmentioning

confidence: 99%

Spatial Analysis of Stomach Cancer Incidence in Iran

Pakzad¹,

Khani²,

Pakzad³

et al. 2016

Asian Pacific Journal of Cancer Prevention

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“…Alkharouf et al (2005) adopted OLAP as a supplement to create a more effective data mining tool for a gene expression database. Bedard et al (2003) integrated the geographic information system and OLAP to facilitate geographic knowledge discovery and to analyze environmental health data. Abdullah (2009) employed OLAP to analyze the incidence of mealybugs on cotton crops.…”

Section: Olap Systemmentioning

confidence: 99%

Constructing a water quality 2.0 OLAP system in Taiwan

Wang

Guo

2013

Journal of Cleaner Production

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“…Decision making ability in these systems is further enhanced by using Rule based systems and case based reasoning [14]. Similarly visualization and analysis of data is enhanced by combining Online Analytical Processing (OLAP) Tool and Geographical Information Tools [15] [16]. So in last few years, numerous medical warehouse architectures are proposed but most of them are confined to one or two domain of healthcare management.…”

Section: Introductionmentioning

confidence: 99%

Effort Estimation Approach for Integrated Medical Warehouses

Aggarwal¹,

Prakash²,

Sofat³

2012

IJCA

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Medical warehouses are architectural construct of an information system that provides users with current and historical decision support information. But medical warehouse projects suffers from overestimation of resources because of improper estimation approaches which do not suit well on poorly defined architecture of medical warehouses. In this paper, we have first proposed a framework for an integrated medical warehouse that covers the different aspects of health care management. Then we proposed an effort estimation approach based on this framework which is designed to be used at the very early stage of requirement analysis. The data from the three different set of data warehousing projects are studied and the linear regression approach is used to finalize the model. Final effort is estimated using the project size and the different adjustment factors. For analytical estimation of project size and its complexity, extended function point analysis is used and identified object are categorized and their complexity weight age is determined. The proposed approach is validated by studying three different set of projects having different level of complexity. First set contains eight business data warehousing projects completed in different domains. Second set contains medical OLAP projects and third set has clinical data marts. A set of questionnaire is used to estimate the complexity of the project, which has to be filled by the developers after completing the initial requirement analysis.The proposed effort estimation model shows a great improvement as compared to the earlier models used in effort estimation of medical warehousing projects.

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Integrating gis components with knowledge discovery technology for environmental health decision support

Cited by 65 publications

References 1 publication

Spatial Analysis of Stomach Cancer Incidence in Iran

Spatial Analysis of Stomach Cancer Incidence in Iran

Constructing a water quality 2.0 OLAP system in Taiwan

Effort Estimation Approach for Integrated Medical Warehouses

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