Web-based E-diagnostic for Digestive System Disorders in Humans using the Demster Shafer Method
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TLDR
It can be seen that the Dempster Shafer Method is the method that has the highest value with 85% confidence compared to the Certainty Factor Method with a value of 60%.Abstract:
Digestive system disorders are dangerous diseases. Lack of awareness of public health is still low, life habits, behavior and mindset that want to live practically, a means of delivering information about diseases that are still lacking, and the lack of medical personnel is a problem, therefore an expert system application is needed to diagnose disease on the web-based digestive system. By providing certainty in the form of a percentage, then using the calculation through symptoms chosen by the user of each symptom has a density value, the density value is obtained from the results of interviews with doctors. Web-based E-Diagnostics for digestive system disorders uses the Dempster Shafer method which is expected to help users by providing information on disease diagnosis and solutions that can be done to help cure it, the Dempster Shafer Method has the ability to provide a high level of accuracy or certainty, which method this has characteristics that are in accordance with the way an expert thinks. This web-based expert system application will display symptoms that can be selected by the user to get the final results in the form of rapid disease diagnoses and suggestions for prevention in order to find out information in the form of diagnoses of diseases of the digestive system. Based on the calculation of accuracy that has been done in this study, it can be seen that the Dempster Shafer Method is the method that has the highest value with 85% confidence compared to the Certainty Factor Method with a value of 60%.read more
Citations
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Journal ArticleDOI
Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991–2020)
Roohallah Alizadehsani,Mohamad Roshanzamir,Sadiq Hussain,Abbas Khosravi,Afsaneh Koohestani,Mohammad Hossein Zangooei,Moloud Abdar,Adham Beykikhoshk,Afshin Shoeibi,Afshin Shoeibi,Assef Zare,Maryam Panahiazar,Saeid Nahavandi,Dipti Srinivasan,Amir F. Atiya,U. Rajendra Acharya,U. Rajendra Acharya,U. Rajendra Acharya +17 more
TL;DR: In this article, the authors have reviewed related studies conducted in the last 30 years (from 1991 to 2020) in handling uncertainties in medical data using probability theory and machine learning techniques and found that there are few challenges to be addressed in handling the uncertainty in medical raw data and new models.
Posted Content
Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020)
Roohallah Alizadehsani,Mohamad Roshanzamir,Sadiq Hussain,Abbas Khosravi,Afsaneh Koohestani,Mohammad Hossein Zangooei,Moloud Abdar,Adham Beykikhoshk,Afshin Shoeibi,Afshin Shoeibi,Assef Zare,Maryam Panahiazar,Saeid Nahavandi,Dipti Srinivasan,Amir F. Atiya,U. Rajendra Acharya,U. Rajendra Acharya,U. Rajendra Acharya +17 more
TL;DR: This paper reviewed related studies conducted in the last 30 years in handling uncertainties in medical data using probability theory and machine learning techniques and summarized various methods employed to overcome this problem.
Implementation Educational Data Mining For Analysis of Student Performance Prediction with Comparison of K-Nearest Neighbor Data Mining Method and Decision Tree C4.5: Implementation Educational Data Mining For Analysis of Student Performance Prediction with Comparison of K-Nearest Neighbor Data Mining Method and Decision Tree C4.5
TL;DR: In this article, the best accuracy value is the K-Nearest Neighbor algorithm model with an accuracy rate of 59.32%, whereas in the Decision Tree C4.5 model the accuracy rate is 54.80%, the application of EDM and is expected to be maximized and developed so that it can contribute and develop in education world especially in data mining.
Diagnosa depresi pada mahasiswa menggunakan metode certainty factor dan forward chaining
TL;DR: In this article, the authors make an application to help the community, especially students, to be able to recognize and diagnose depression from an early age using the Certainty Factor and Forward Chaining method.
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Electronic Customer Relationship Management (E-CRM) Application as Efforts to Increase Customer Retention of Micro Small and Medium Enterprises (MSMEs) in Banten Indonesia
TL;DR: The application developed in this paper is based on 9 characteristics of the Banten MSMEs produced in previous studies and the E-CRM UMKM blue print model that has been published in international seminars and used the stages that exist in the waterfall model method, namely planning, analysis, design, and implementation.
References
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Computational Methods for A Mathematical Theory of Evidence.
TL;DR: Dempster and Shafer as discussed by the authors presented results that can reduce the compu tationtime complexity from exponential to linear allowing this scheme to be implemented in many more systems, assuming that each piece of the evidence either confirms or denies a single proposition rather than a disjunction.
Journal ArticleDOI
Electronic Customer Relationship Management (E-CRM) Application as Efforts to Increase Customer Retention of Micro Small and Medium Enterprises (MSMEs) in Banten Indonesia
TL;DR: The application developed in this paper is based on 9 characteristics of the Banten MSMEs produced in previous studies and the E-CRM UMKM blue print model that has been published in international seminars and used the stages that exist in the waterfall model method, namely planning, analysis, design, and implementation.
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