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Enhanced Decision Support Systems in Intensive Care Unit Based on Intuitionistic Fuzzy Sets

Hanen Jemal, Zied Kechaou, Mounir Ben Ayed
2017 Advances in Fuzzy Systems  
The performance of the prototypes is compared with the MEWS standard which exposed that the IFS application appears to perform highly better in deferring accuracy than the expert MEWS score with higher  ...  In areas of medical diagnosis and decision-making, several uncertainty and ambiguity shrouded situations are most often imposed.  ...  Acknowledgments The authors would like to acknowledge the financial support of this work by grants from the General Direction of Scientific Research and Technological Renovation (DGRSRT), Tunisia, under  ... 
doi:10.1155/2017/7371634 fatcat:kectesbr7fd6lbepnlygn2kvaa

A Mobile Expert System Utilizing Fuzzy Logic for Venereal and Sexually Transmitted Diseases

Jasmin A. Caliwag, Felizardo C. Reyes Jr., Paula Jean M. Castro, Reynaldo E. Castillo
2018 Journal of Advances in Information Technology  
A fuzzy logic algorithm was utilized to filter different symptoms and provide an accurate result of the diagnostic testing.  ...  venereal and sexually transmitted disease, fuzzy logic algorithm  ...  We would also like to express our gratitude to Adrianne Garillo, Maxine Somera, and Elirose Densing for sharing their expertise in the development of the application which we enhanced and improved.  ... 
doi:10.12720/jait.9.3.57-61 fatcat:nnx4ojcwpnbf3a44ljrth27xo4

A Web Based Fuzzy Expert System for Human Disease Diagnosis

Ms. Kalyani Baghel, Mr. Neeraj Mehta
2015 International Journal Of Engineering And Computer Science  
This work presents an approach for the treatment of patients on the basis of fuzzy rules applied on symptoms that seen in patient.  ...  Finally, a tool named "Diagnosis Portal" has to be developed for showing the proposed work and our results shows improved interpretation accuracy in treatment of patient with faster and accurate manner  ...  The current work focuses on assisting doctors for diagnosis of various diseases listed above with their respective symptoms and develop a prototype computer expert system application for diagnosis and  ... 
doi:10.18535/ijecs/v4i9.32 fatcat:hfwha2ev5bdz5if5g6ppvyybli

Knowledge and intelligent computing system in medicine

Babita Pandey, R.B. Mishra
2009 Computers in Biology and Medicine  
From Table 14 it is clear that among 32 fuzzy-based system most of the applications are of diagnosis (20) and medium are of treatment applications (12) .  ...  In MBR methodology one-one application for each diagnosis and treatment are observed. Most of the applications in ANN methodology are for diagnosis (30) and least for treatment (3) .  ...  Conflict of interest statement Area of expert systems in medicine.  ... 
doi:10.1016/j.compbiomed.2008.12.008 pmid:19201398 fatcat:hydva3mfobfefewbfnxqbfxktu

Integration of Structural Expert Knowledge about Classes for Classification Using the Fuzzy Supervised Neural Gas

Marika Kästner, Wieland Hermann, Thomas Villmann
2012 The European Symposium on Artificial Neural Networks  
In this paper we describe an approach to integrate structural expert knowledge about class relations into classication schemes under the assumption of unary class coding.  ...  Exemplary, we show in a medical application such an integration for incorporation of prior medical knowledge about uncertainty for distinguishing patient classes.  ...  We show in an exemplary application of classication of Wilson's disease based on neurophysiological data, how structural knowledge improves the classication results.  ... 
dblp:conf/esann/KastnerHV12 fatcat:bof4ci7bxnbuhkxqims2ywmi2y

Machine Learning Methods in Early Diagnosis of Coronary Artery Disease

Luxmi Verma
2018 Journal of Cardiology & Cardiovascular Therapy  
One of the most life threatening disease worldwide is Coronary artery disease. It is one of the lifestyle diseases where cost of detection and treatment is high.  ...  One of the gold standards for diagnosis of disease is coronary angiography, which is invasive method and requires high end tests with a lot of technical expertise.  ...  in the diagnosis and treatment of diseases like diabetes, Parkinson's, cancer, thyroid, hepatitis, kidney disease and heart disease.  ... 
doi:10.19080/jocct.2018.11.555801 fatcat:xcm4fsaggncineauks24zl4tse

The Section on Medical Expert and Knowledge-Based Systems at the Department of Medical Computer Sciences of the University of Vienna Medical School

Klaus-Peter Adlassnig
2001 Artificial Intelligence in Medicine  
to assist in the decision-making processes for all areas of medical application.  ...  The obtained results show the applicability and usefulness of these systems. #  ...  Steltzer, who are both anaesthesiologists and intensive care specialists, found the ideas of knowledge-based systems challenging and made knowledge-based applications at the ICU possible.  ... 
doi:10.1016/s0933-3657(00)00078-6 pmid:11154878 fatcat:shhbwjts5fawhexyl6nav4ykzy


Novruz Allahverdi
2014 International Journal of Applied Mathematics Electronics and Computers  
It can be claimed that in many cases such systems can help the physicians in diagnostics, treatment of illness, patient pursuit, prediction of disease risk and etc.  ...  Followings were investigated; the risk of prostate cancer, risk of coronary heart disease, degree of child anemia, determination the level of iron deficiency anemia, diagnosis of periodontal dental disease  ...  Acknowledgements This study is a survey of some scientific works that were mainly research projects supported by the Unit of the Scientific Research Projects of Selcuk University in Turkey.  ... 
doi:10.18100/ijamec.59578 fatcat:bfsdqcfytfcezhs4e7p2ejod2e

A fuzzy expert system for diagnosis and treatment of musculoskeletal disorders in wrist

2017 Tehnički Vjesnik  
on diagnosis and treatment of diseases.  ...  A major part of the knowledge related to diagnosis of symptoms and treatment of illnesses is experimental.  ...  The purpose of this study was to develop an expert system for diagnosis and treatment of musculoskeletal disorders by a fuzzy approach.  ... 
doi:10.17559/tv-20150531034750 fatcat:kxxeoinq6bd2pnhk77o6dpjwnm

A Mobile-based Neuro-fuzzy System for Diagnosing and Treating Cardiovascular Diseases

Folasade O. Isinkaye, Jumoke Soyemi, Olayinka P. Oluwafemi
2017 International Journal of Information Engineering and Electronic Business  
to diagnose and suggest possible treatments for cardiovascular diseases through interactivity with user.  ...  This paper designed and implemented a Mobile Neuro-fuzzy System that uses the combination of the intelligent technique of Artificial Neural Networks (ANN) and the human-like reasoning style of Fuzzy Logic  ...  Soltan and colleagues [24] described a prototype model of an expert system for diagnosing and treatment of two types of heart diseases.  ... 
doi:10.5815/ijieeb.2017.06.03 fatcat:3ppy4c3fg5atdfh5cq7jf7txha

Medical Expert System- A Comprehensive Review

Rimpy Nohria
2015 International Journal of Computer Applications  
In an attempt to address such problems, studies ended attempts toward design and develop expert systems which can present advice for physicians and patients to make easy the diagnosis along with recommend  ...  Diseases must be treated healthy and on time. If they are not treated lying on time, they can escort to many health problems with these problems might become the reason of death.  ...  MEDICAL EXPERT SYSTEM The major aim of any medical expert system is the diagnosis and treatment of that disease. A huge outline of expert systems is medical.  ... 
doi:10.5120/ijca2015907046 fatcat:r25sjsm5gvfz7ixdvs2azpnrfa

Cognitive analysis of multiple sclerosis utilizing fuzzy cluster means

Imianvan Anthony Agboizebeta
2012 International Journal of Artificial Intelligence & Applications  
The application of Fuzzy Cluster Means (FCM or Fuzzy C-Mean) analysis to the diagnosis of different forms of multiple sclerosis is the focal point of this paper.  ...  Application of cluster analysis involves a sequence of methodological and analytical decision steps that enhances the quality and meaning of the clusters produced.  ...  Upon the completion of the diagnosis by the physician, a treatment plan is proposed, which includes therapy and follow-up (further meeting and test to monitor the ailment and progress of the treatment  ... 
doi:10.5121/ijaia.2012.3103 fatcat:mwei4yeijfcuzplc225q6hrwjy

Dental Expert System

Oladele TinukeO, Sanni Yetunde
2015 International Journal of Applied Information Systems  
The goal of this paper is to demonstrate the practical applicability of Information and Communication Technology (ICT) for the diagnosis of dental ailments based on a set of symptoms.  ...  The early 20th century brought along a better understanding of dental disease and prevention.  ...  An experimental prototype was described in a later publication.  ... 
doi:10.5120/ijais14-451270 fatcat:eo7gkz252rdffjpor2bc24h4yu

Knowledge Based System Using Fuzzy Logic for Soybean Crop with Special Reference to Nutrition Management

Mr. S. J. Yelapure
2017 International Journal for Research in Applied Science and Engineering Technology  
Logic which will accept symptoms of nutritional deficiency and identifies nutritional deficiency depending on symptoms and suggest necessary Nutrient application.  ...  Knowledge Based System is an application program that makes decisions or solves problem in particular area such as Finance, Medicine, Agriculture etc., by using knowledge and analytical rules defined by  ...  It will perform diagnosis process for assigning an infected disease treatment solution and also the preventive control.  ... 
doi:10.22214/ijraset.2017.11238 fatcat:vbkshx6nl5gylperq76dtvzfju

Comparative Analysis of Fuzzy Expert Systems for Diabetic Diagnosis

Vishali Bhandari, Rajeev Kumar
2015 International Journal of Computer Applications  
Diabetes will also develop heart disease, kidney disease, blindness, nerve damage, and blood vessel damage. This paper uses Mamdanitype and Sugeno-type fuzzy expert systems for a diabetes diagnosis.  ...  of the Sugenotype fuzzy inference system is 96.77% , 97.27%, 95.55% and 98.16%, respectively.  ...  As the rule base has an interpretable and sensitive nature, Mamdani-type fuzzy expert system is largely used in decision support applications.  ... 
doi:10.5120/ijca2015907424 fatcat:sh2gplieqbhkbhiia7nh2ljjju
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