Expert System for Disease Risk Based on Lifestyle  with Fuzzy Mamdani

Mesran, M; Syahrizal, Muhammad; Suginam, S; Kurniasih, Nuning; Gs, Achmad Daengs; Ahmar, Ansari Saleh; Rahim, Robbi

doi:10.14419/ijet.v7i2.3.12622

Cited by 16 publications

(5 citation statements)

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“…Sistem pakar merupakan suatu program aplikasi komputerisasi yang berusaha menirukan proses penalaran dari seorang ahlinya dalam memecahkan masalah spesifikasi atau bisa dikatakan merupakan duplikat dari seorang pakar karena pengetahuannya disimpan didalam basis pengetahuan untuk diproses pemecahan masalah [2]. Data yang tersimpan dalam database akan menginformasikan suatu keluhan pasien dengan akurat dan dapat menyimpulkan jenis penyakit yang diderita oleh pasien [8] [10][11][12].…”

Section: Sistem Pakarunclassified

Penerapan Sistem Pakar Menggunakan Metode Nearest Neighbor Mendiagnosa Gangguan Kesehatan Pengguna Minuman Keras

Sianturi¹,

Tarigan²

2019

mib

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Expert systems in general are systems that try to adopt human knowledge to computers so that computers can solve problems as is usually done by experts. Or in other words an expert system is a system that is designed and implemented with the help of certain programming languages to be able to solve problems as done by experts. It is expected that with this system, lay people can solve certain problems, either 'a little' complicated or even complicated 'without' the help of experts in the field. As for experts, this system can be used as an experienced assistant. This system diagnoses the types of health problems of liquor users based on the symptoms entered into the system. This developed application aims to determine which liquor users consume by only paying attention to the criteria experienced by liquor users. Using the Nearest Neighbor Method is able to show a measure of certainty about a fact from the existing criteria. System output in the form of search results for liquor users is used by users based on symptoms.

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Section: Sistem Pakarunclassified

Penerapan Sistem Pakar Menggunakan Metode Nearest Neighbor Mendiagnosa Gangguan Kesehatan Pengguna Minuman Keras

Sianturi¹,

Tarigan²

2019

mib

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“…Then the development of expert systems has also been implemented and used to treat fractures [10], in addition to [11] the Expert System is used to diagnose cat skin diseases by applying the Forward Chaining method. [12] stated that the Expert System can also be used to diagnose Immune Dermatitis, risk based on lifestyle with fuzzy Mamdani [13].…”

Section: Introductionmentioning

confidence: 99%

Expert System of Detection Defisiensi Imun Uses K-Nearest Neighbor Method

Ramadhan¹,

Tugiono²,

Nurarif³

2019

ijics

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Immune deficiency is a collection of various diseases which, due to having one or more immune system abnormalities and impairing the functioning of the immune system that are decreasing or not functioning properly, with this condition the susceptibility to infection increases. This disease is mostly suffered by children, this is because the immune system changes in children who have not been able to deal with immune attenuation attacks. For now the number of children who do not get early treatment properly, this is due to a lack of public knowledge about this skin inflammatory disease. Looking at the problems that have been raised, it is necessary to build an Expert System that is able to move expert knowledge into a system of consultation services to detect Immunodeficiency Disease based on clinical symptoms experienced by applying the K-Nearest Neighbor method which functions to process knowledge so that can conclude disease probabilities that refer to the state of the previous diagnosis to be used as an initial diagnostic analysis

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“…Fuzzy logic plays a key role in approximate reasoning, and Fuzzy Logic Systems [18][19][20] are implemented to manage approximate knowledge in order to solve specific problems through the use of approximate reasoning. The Mamdani fuzzy rule-based model is the most well-known fuzzy logic system model; it has been successfully applied in many fields, such as automatic control [21], expert systems [22], mobile robots [23], and computer vision [24].…”

Section: Introductionmentioning

confidence: 99%

A New Geospatial Model Integrating a Fuzzy Rule-Based System in a GIS Platform to Partition a Complex Urban System in Homogeneous Urban Contexts

Cardone

Martino

2018

Geosciences

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Here, we present a new unsupervised method aimed at obtaining a partition of a complex urban system in homogenous urban areas, called urban contexts. Our model integrates spatial analysis processes and a fuzzy rule-based system applied to manage the knowledge of domain experts; it is implemented using a GIS platform. The area of study is initially partitioned in microzones, homogeneous portions of the urban system, which are the atomic reference elements for the census data. With the contribution of domain experts, we identify the physical, morphological, environmental, and socio-economic indicators needed to identify synthetic characteristics of urban contexts and create the fuzzy rule set necessary for determining the type of urban context. We implement the set of spatial analysis processes required to calculate the indicators for the microzones and apply a Mamdani fuzzy rule system to classify the microzones. Finally, the partition of the area of study in urban contexts is obtained by dissolving continuous microzones belonging to the same type of urban context. Tests are performed on the Municipality of Pozzuoli (Naples, Italy); the reliability of the out model is measured by comparing the results with the ones obtained through a detailed analysis.

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Expert System for Disease Risk Based on Lifestyle with Fuzzy Mamdani

Cited by 16 publications

References 0 publications

Penerapan Sistem Pakar Menggunakan Metode Nearest Neighbor Mendiagnosa Gangguan Kesehatan Pengguna Minuman Keras

Penerapan Sistem Pakar Menggunakan Metode Nearest Neighbor Mendiagnosa Gangguan Kesehatan Pengguna Minuman Keras

Expert System of Detection Defisiensi Imun Uses K-Nearest Neighbor Method

A New Geospatial Model Integrating a Fuzzy Rule-Based System in a GIS Platform to Partition a Complex Urban System in Homogeneous Urban Contexts

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