Filters








10,549 Hits in 4.4 sec

A Data Preparation Methodology in Data Mining Applied to Mortality Population Databases

Joaquín Pérez, Emmanuel Iturbide, Víctor Olivares, Miguel Hidalgo, Alicia Martínez, Nelva Almanza
2015 Journal of medical systems  
To validate the proposed methodology, we developed a data mining system and the entire process was applied to real mortality databases.  ...  This paper shows a new data preparation methodology oriented to the epidemiological domain in which we have identified two sets of tasks: General Data Preparation and Specific Data Preparation.  ...  Data preparation methodology for epidemiological data mining The sections below show: a) the description of the proposed methodology, and b) a practical illustrative example study using mortality population  ... 
doi:10.1007/s10916-015-0312-5 pmid:26385549 pmcid:PMC4575356 fatcat:toxlfjid5ngzpl6yykcojv55f4

Design of a geospatial model applied to Health management

Marcelo Rosano Dallagassa, Franciele Iachecen, Deborah Ribeiro Carvalho, Sergio Ossamu Ioshii
2019 Revista Brasileira de Enfermagem  
Objective: To identify geographically the beneficiaries categorized as prone to Type 2 Diabetes Mellitus, using the recognition of patterns in a database of a health plan operator, through data mining.  ...  a health plan operator, contributing to the decision-making process in Health.  ...  The authors gratefully acknowledge the support and funding of this research by the Coordination of Higher Education and Graduate Training (Capes), through the provision of a scholarship.  ... 
doi:10.1590/0034-7167-2018-0589 fatcat:6sjy4y5p4jacbon4kdn2o2lr74

Knowledge Discovery in Nursing Minimum Data Set Using Data Mining

Myonghwa Park, Jeong Sook Park, Chong Nam Kim, Kyung Min Park, Young Sook Kwon
2006 Taehan Kanho Hakhoe chi  
To identify the methodology of data preparing process. 4. To understand patterns generated from data mining. 5. To identify the utilization of rough set model for clinical decision making.  ...  Clinical data from Austria s large database were used for the study and data mining techniques were applied to this project to find clinically relevant patterns in predicting risks for ARDS.  ... 
doi:10.4040/jkan.2006.36.4.652 pmid:16825850 fatcat:vi5es6qwqraorauw3zkume6vli

Review and computational meta-analysis for heart disease prediction

Megha Manohar Darne, Shiv K. Sahu, Amit Mishra
2016 International Journal of Advanced Technology and Engineering Exploration  
Conflicts of interest The authors have no conflicts of interest to declare.  ...  On the other hand, the greater part of methodologies spotlight on applying information mining as a front end innovation to mine information distribution centers.  ...  Affiliation standard mining, a computational insight methodology, is utilized to recognize these variables and the UCI Cleveland dataset, a natural database, is considered alongside the three principle  ... 
doi:10.19101/ijatee.2016.319003 fatcat:oaxtskbijnfbnp46qu55alrk3q

Epidemiology of lung cancer and approaches for its prediction: a systematic review and analysis

Ashutosh Kumar Dubey, Umesh Gupta, Sonal Jain
2016 Chinese Journal of Cancer  
Results: In the UK and the US, we found a significant decrease in lung cancer mortalities in the period of 1990-2014, whereas, in India and Egypt, such a decrease was not much promising.  ...  The combined use of data mining and evolutionary algorithm can be efficient in lung cancer detection.  ...  Feroz Khan, Editorin-Chief, Sci-Edit Publications, San Francisco, CA, USA, for their assistance in preparing and amending this manuscript.  ... 
doi:10.1186/s40880-016-0135-x pmid:27473753 pmcid:PMC4967338 fatcat:3d574oywbrfvdhaonrgsyapfs4

Designing a Predictive Model for Antiretroviral Regimen at the Antiretroviral Therapy Center in Chiro Hospital, Ethiopia

Gadissa Nemomsa, M. Azath, Mihajlo Jakovljevic
2021 Journal of Healthcare Engineering  
The study used the CRIPS-DM methodology to find and interpret patterns in repositories. A decision tree (J48 and Random Forest) algorithm was used for classification.  ...  Nowadays, the huge amount of patient's data significantly increases with respect to the time in repositories and data mining is increasingly used as an emerging research area in medical fields for extracting  ...  In this study, data preparation and preprocessing constructing a dataset from one or more data sources is used for exploration and modeling. Data Mining Technique.  ... 
doi:10.1155/2021/1161923 pmid:34745487 pmcid:PMC8570855 fatcat:de3t2db3ongstfepcalxaddp3y

Occupational Burden of Asbestos-related Cancer in Argentina, Brazil, Colombia, and Mexico

Roberto Pasetto, Benedetto Terracini, Daniela Marsili, Pietro Comba
2014 Annals of Global Health  
Findings: Using mortality data of the World Health Organization Health Statistics database for the year 2009 and applying the estimated values for population attributable fractions, the number of estimated  ...  population in the workforce Relative risk for each considered disease for 1 or more levels of exposure Data on the proportion of workers exposed to asbestos in each sector are not available for Latin  ...  Dario Mirabelli for his suggestions about the CAREX database.  ... 
doi:10.1016/j.aogh.2014.09.003 pmid:25459327 fatcat:icqghcqxkzagbps25wz4rfbbwq

Comorbidities in patients with COVID-19,case study:Baja California, using ANN

Bogart Yail Marquez, Elizabeth Aguilar-Calderon, Arnulfo Alanis, Maribel Guerrero-Luis
2020 2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4)  
This project's main objective is to discover which are those comorbidities that could lead to a fatal outcome in a patient diagnosed with COVID-19 in the state of Baja California through a classification  ...  The resulting database was imported into the software where the model of the neural network, data preparation was performed and built the neural network model (multilayer perceptron).  ...  CRISP-DM Methodology The CRISP-DM methodology from the acronym Cross-Industry Standard Process for Data Mining [2] is usually a very accepted guide in research lines that have data mining oriented works  ... 
doi:10.1109/worlds450073.2020.9210263 fatcat:qczzkfsvmjdodf7tt6kvfnsdhq

CATCH/IT: a data warehouse to support comprehensive assessment for tracking community health

D J Berndt, A R Hevner, J Studnicki
1998 Proceedings. AMIA Symposium  
Previously performed manually, we are using information technology (IT) to automate the CATCH methodology with a full-scale data warehouse, user-friendly forms and reports, and extended analysis and data  ...  The automated system, CATCH/IT, will reduce the time to prepare community health status reports from months to days.  ...  The rich set of data, including demographic information, makes the data warehouse an excellent arena in which to apply data mining software with the potential of discovering important patterns in community  ... 
pmid:9929220 pmcid:PMC2232104 fatcat:bdsgjqljzjfylk32qtaphzfyya

Oncological Analysis Using Data Mining

Doricela Gutiérrez Cruz, Ricardo Rico Molina, Liliana Rodríguez Páez, Karla Vilchis Hernández, Bernardo Soto Rivera, Yaroslaf Albarrán Fernández, Alma Gutierrez Cruz, Mónica Ortega
2016 Research in Computing Science  
This paper proposes to carry out a cancer analysis by means of data mining techniques, applied on a sample of 3365 cases, using association algorithms as Apriori and J48 classification algorithm.  ...  Data mining is a technique that involves the application of specific algorithms, which generate a list of patterns based on large volumes of information that is useful for decision making in wide fields  ...  The authors thank the information, monitoring and facilities granted to this research by Hospital Regional 1° de Octubre to the "Universidad  ... 
doi:10.13053/rcs-121-1-12 fatcat:2a3vn4jgw5eudpzzsjo26abr5u

Lessons from ecological and spatial studies in relation to occupational lung disease

Anna L Hansell, Nicky G Best, Lesley Rushton
2009 Current Opinion in Allergy and Clinical Immunology  
This review examines how recent advances in ecological and spatial study methodology and in the information held in routine databases could be used to enhance occupational health studies.  ...  Ecological study methodology is experiencing a radical overhaul with supplementation of group-level data with information from small-scale individual-level studies.  ...  Information about variability of exposure will necessarily be population specific e.g. expert opinion covering jobs in Finland is not necessarily appropriately applied to a British population.  ... 
doi:10.1097/aci.0b013e32832921f3 pmid:19307881 pmcid:PMC4962901 fatcat:vudzkzjh4vdgdps7nd3xefqmmy

Exploring the Relationship between ICTs and Public Health at Country Level

Viju Raghupathi, Wullianallur Raghupathi
2013 International Journal of Healthcare Information Systems and Informatics  
ICT data was collected from the International Telecommunication Union ICT Indicator database. The public health data was collected from the World Bank website.  ...  The authors use a health analytics approach to investigate the relationship between information and communication technology (ICT) and public health at a country level.  ...  RESEARCH METHODOLOGY In this section, we apply the conceptual model shown in Figure 1 to the examination of the relationship between ICTs and public health delivery at a country level (Table 1) .  ... 
doi:10.4018/jhisi.2013070101 fatcat:htyffr43pjclnizdpyoidakeji

Analysis of Development Factors for Asian Countries using DWM on Big Data

Pallavi Varandani, Sharvari Jalit, Mrunmayee Mujumdar, Pradeep Lalwani, Prof. Arthi C I, Prof. Priya R L
2017 IOSR Journal of Computer Engineering  
However, the analysis included only data preparation process and the data mining server application for subgroup discovery induction.  ...  The analysis can be done using various methodology such as MapReduce, Canopy Clustering and Kmeans. Clustering and Reduction techniques are applied in parallel to enhance the existing technology.  ...  Acknowledgments The work presented in this paper has been supported by the institute "Vivekanand Education Society's Institute of Technology" under the affiliation of University of Mumbai.  ... 
doi:10.9790/0661-1902047882 fatcat:zrk2jsr275dfrhf6bj3mz7yg6i

EVALUATION OF PREDICTIVE ANALYTIC TECHNIQUES IN HEALTHCARE RESEARCH: A PRSIMA STYLE REVIEW

2017 Issues in Information Systems  
Disease and readmission prevention can be assisted by applying data science and predictive analytics to healthcare data.  ...  Regression appeared to be the most dominant technique applied and future research studies should study more data science and predictive analytic approaches.  ...  The PRISMA review process differs from meta-analysis approach in that it does not review the statistical results to determine a quantitate summary, effect size, or other data mining techniques to investigate  ... 
doi:10.48009/3_iis_2017_89-99 fatcat:w5ygtw6us5bphkmbuhutubesku

A revision and analysis of the comprehensiveness of the main longitudinal studies of human aging for data mining research

Caio Eduardo Ribeiro, Luis Henrique S. Brito, Cristiane Neri Nobre, Alex A. Freitas, Luis Enrique Zárate
2017 Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery  
We hope that this article will contribute to data mining research in two ways: first, by drawing attention to the important problem of global ageing and the free availability of several longitudinal databases  ...  In this review, we categorize the main aspects affecting human ageing into a taxonomy for assisting data mining research on this topic.  ...  Acknowledgement This work was conducted during a scholarship supported by the International Cooperation Program CAPES/COFECUB at the PUC-Minas University.  ... 
doi:10.1002/widm.1202 fatcat:vnngma2nh5dqtf4g4aa2tlpcqa
« Previous Showing results 1 — 15 out of 10,549 results