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Prediction of Dengue Fever Using Intelligent Classifier

Ganthimathi M
2020 International Journal of Emerging Trends in Engineering Research  
Early diagnosis of dengue continues to be a concern for public health in countries with a high incidence of this disease.  ...  Data Mining is a big and motivating research area in medical & healthcare department. Our system creates awareness about dengue fever and suggested treatment.  ...  This reason motivates to use data mining techniques capabilities for efficient knowledge extraction & find hidden fever parts.  ... 
doi:10.30534/ijeter/2020/65842020 fatcat:4aqosa5g2zfk5iuksfi5ugmkzy

Towards Developing an Intelligent Agent to Assist in Patient Diagnosis Using Neural Networks on Unstructured Patient Clinical Notes: Initial Analysis and Models

Christian E. Pulmano, Ma. Regina Justina E. Estuar
2016 Procedia Computer Science  
The results still prove, however, that unstructured data possesses value beneficial for clinical decision support.  ...  Text mining is a variation of data mining that tries to extract non-trivial information and knowledge from unstructured text.  ...  Acknowledgements We would like to acknowledge SHINE OS+, SHINE Labs, Smart Communications, Inc. and the Ateneo Java Wireless Competency Center (AJWCC) for their significant contributions in this study.  ... 
doi:10.1016/j.procs.2016.09.153 fatcat:4eyffqpo6zbdbojem4ujbtrkdu

Research on TCM Diabetes Assisted Diagnosis and Treatment Plan Integrating Association Mining and Quantitative Calculation

Yujie Zhang, Rujiang Bai, Jin Han, Qiming Chen, Xu Gao
2021 Procedia Computer Science  
data from TCM diabetes, and to construct a TCM diabetes assisted diagnosis and treatment framework of "association mining-quantifying calculation-intelligent assisted diagnosis and treatment" what can  ...  record data from TCM diabetes, and to construct a TCM diabetes assisted diagnosis and treatment framework of "association mining-quantifying calculation-intelligent assisted diagnosis and treatment" what  ...  Acknowledgements This research was funded by the Shandong TCM science and technology development program "a study on the strategy of clinical diagnosis and treatment of diabetes based on data mining of  ... 
doi:10.1016/j.procs.2021.05.052 fatcat:n23onfbponedxf3j25dwgblpmi

A Computer Based Intelligent System for Managing Typhoid Fever

Oguntimilehin A
2020 International Journal of Advanced Trends in Computer Science and Engineering  
A Computer Based Diagnosis System for Typhoid fever developed from labelled sets of typhoid fever instances purposefully collected from a reputable hospital in Ado-Ekiti, Ekiti State, Nigeria is presented  ...  One thousand instances were used to train the system using a promising data mining technique -Reduced Error Pruning Tree.  ...  This work was carried out using the renowned data mining tool (Waikato Environment for knowledge Analysis).  ... 
doi:10.30534/ijatcse/2020/72912020 fatcat:ymzwfhfzirhcdm46qdlwh26abi

Method of Mining Association Rules Based on Interval Concept Lattice and Its Application in Medical Diagnosis

Mingxia Li, Baoxiang Liu, Chunying Zhang, Liya Wang
2017 ICIC Express Letters  
extracted according to the decisional form of medical diagnosis, then interval concept lattice is built and further association rules are mined with high support and confidence; finally, medical diagnosis  ...  With the era of big data and the development of Internet, the research methods of medical diagnosis based on data have been emerging.  ...  This work is partially supported by the National Natural Science Foundation of China (Grant Nos. 61370168, 61472340), Hebei Province Natural Science Foundation (Grant No.  ... 
doi:10.24507/icicel.11.02.325 fatcat:vj4pjdvixzezfhms7f6tdevr2i

Study on the numerical value and the distance of symptoms on the Medical Decision Support System [article]

Won-Il Song, Taek-Jong Kim
2018 arXiv   pre-print
It is an important subject how deal with the symptom's data, input data, to improve the accuracy and efficiency of the diagnostic algorithm in the medical decision support systems.  ...  In this paper, we described a method for the numerical value of symptoms to develop the medical decision support system that diagnose a large number of diseases, not one or two diseases.  ...  The medical decision support system(MDSS) using computer aided techniques is designed to assist physicians and other health professionals with decision making tasks, such as determining diagnosis of patient's  ... 
arXiv:1811.06607v1 fatcat:xymyapk3lrb3bil3y6wfejkwlu

A Mobile Malaria Fever Clinical Diagnosis System Based on Non-Nested Generalized Exemplar (NNGE)

Oguntimilehin A.
2020 International Journal of Emerging Trends in Engineering Research  
model for malaria diagnosis.  ...  A mobile application for malaria diagnosis was developed in this work to provide a wider coverage and accessibility.  ...  ACKNOWLEDGEMENT Sincere appreciation goes to the Chief Medical Director, medical staff and administrative staff of Adetoyin Hospital, Ado-Ekiti, Nigeria for their valuable inputs into this work.  ... 
doi:10.30534/ijeter/2020/03822020 fatcat:vttxxww4bvetboa3cq27zmzzxq

Performance evaluation of selected decision tree algorithms for COVID-19 diagnosis using routine clinical data

Mostafa Shanbehzadeh, Hadi Kazemi-Arpanahi, Raoof Nopour
2021 Medical Journal of The Islamic Republic of Iran  
Finally, the best decision model was obtained based on comparing the mentioned performance criteria.  ...  The results indicated that the J-48, with the accuracy= 0.85, F-Score= 0.85, ROC= 0.926, and PRC= 0.93, had the best performance for diagnosing COVID-19.  ...  We thank the research deputy of Abadan Faculty of Medical Sciences for financially supporting this project.  ... 
doi:10.47176/mjiri.35.29 pmid:34169041 pmcid:PMC8214035 fatcat:mjavx5guubgx5fysgxw33ga4ya

Chinese experts' consensus on the Internet of Things-aided diagnosis and treatment of coronavirus disease 2019

Li Bai, Dawei Yang, Xun Wang, Lin Tong, Xiaodan Zhu, Chunxue Bai, Charles A. Powell
2020 Clinical eHealth  
Plan maintenance, remote maintenance, management command, and statistical decision-making functions can expand the deep mining and management of big data, subsequently achieve management and timely intervention  ...  -19 Statistical decision Considered beneficial for experts or managers in performing statistical analysis based on the data of graded diagnosis and treatment of patients with COVID-19 Summarizes experiences  ... 
doi:10.1016/j.ceh.2020.03.001 fatcat:rxsrjtihhrcohlnm6pqrgprvzu


Shakuntala Jatav
2018 Zenodo  
Advanced data mining techniques are used to discover knowledge in database and for medical research.  ...  The data mining classification techniques, namely Support Vector Machine(SVM) and Random Forest (RF) are analyzed on Diabetes, Kidney and Liver disease database.  ...  Step 2: At decision support system, dataset of different diseases are loaded and apply data mining algorithms to train dataset.  ... 
doi:10.5281/zenodo.1609342 fatcat:vxoq2zvmqvglbcqewaknyo7o2i

Online Fuzzy-Logic Knowledgewarehousing and Mining Model for the Diagnosis and Therapy of HIV/AIDS

Igodan C. E, Akinyokun O.C, Olabode Olatubosun
2013 International Journal of Computational Science and Information Technology  
This paper presents a model of a web-based system for knowledge warehousing and mining of diagnosis and therapy of HIV/AIDs using Fuzzy Logic and data mining approach.  ...  The need for a reliable and efficient way of storing and mining data about people living with HIV/AIDs with the intent to monitor the health status for effective therapy is on the increase.  ...  Also, data gathered from people living had been analyzed for effective decision support for the control and management of the disease.  ... 
doi:10.5121/ijcsity.2013.1304 fatcat:erwetkuqubbpxjauzdnbtv7qea

Data Mining Based Hybrid Intelligent System for Medical Application

Adane Nega, Alemu Kumlachew
2017 International Journal of Information Engineering and Electronic Business  
We use WEKA for model construction and evaluation, Java NetBeans for integrating data mining results with rule based reasoning and Prolog for knowledge representation.  ...  This paper proposes a hybrid intelligent system that uses data mining technique as a tool for knowledge acquisition process.  ...  In this research, a hybrid intelligent system that supports diagnosis of TB disease was developed by integrating data mining techniques as a knowledge acquisition step.  ... 
doi:10.5815/ijieeb.2017.04.06 fatcat:wvyzqnbvjnf2xhnlkwlr54x4a4

A Decision Support System for Tuberculosis Diagnosability

Navneet Walia, Harsukpreet Singh, Sharad Kumar Tiwari, Anurag Sharma
2015 International Journal of Soft Computing  
In order to cope with real-world problems more effectively, we tend to design a decision support system for tuberculosis bacterium class identification.  ...  Accuracy analysis of designed decision support system based on demographic data was done by comparing expert knowledge and system generated response.  ...  Making use of artificial intelligence, information processing, and data mining hold new strategies for approximate inference.  ... 
doi:10.5121/ijsc.2015.6301 fatcat:gx2cbkz4pbfvhacuyf4htf4uce

Rare disease knowledge enrichment through a data-driven approach

Feichen Shen, Yiqing Zhao, Liwei Wang, Majid Rastegar Mojarad, Yanshan Wang, Sijia Liu, Hongfang Liu
2019 BMC Medical Informatics and Decision Making  
Existing resources to assist the diagnosis of rare diseases are usually curated from the literature that can be limited for clinical use.  ...  The primary goal of this study was to apply a data-driven approach to enrich existing rare disease resources by mining phenotype-disease associations from electronic medical record (EMR).  ...  The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.  ... 
doi:10.1186/s12911-019-0752-9 pmid:30764825 pmcid:PMC6376651 fatcat:l2wfs72y4rbm5iibriopraonna

Bayesian analysis, pattern analysis, and data mining in health care

Peter Lucas
2004 Current Opinion in Critical Care  
Purpose of review: To discuss the current role of data mining and Bayesian methods in biomedicine and heath care, in particular critical care.  ...  the uncertainties underlying clinical decision making.  ...  Support of clinical management Classification trees and rules are normally used to obtain simple models that can be employed in the clinic without any need for computer assistance.  ... 
doi:10.1097/01.ccx.0000141546.74590.d6 pmid:15385759 fatcat:dodreho355hthmsjyf2c5b3qh4
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