Comparative Study Of Forward And Backward Chaining In Artificial Intelligence

Kapoor, Namarta; Bahl, Nischay

doi:10.18535/ijecs/v5i4.32

Cited by 8 publications

(5 citation statements)

References 9 publications

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“…The exception rules will also be generated simultaneously with the involvement of exceptionality measurement. During the analysis phase, the conflicting rules from two ARM algorithms were removed following the forward and backward chaining reasoning [42], where the distinct rules were excluded and only retained the mutual rules. The final mutual rules generated from the two algorithms were regarded as the risk factors associated with thyroid disease.…”

Section: Proposed Tm-arm Frameworkmentioning

confidence: 99%

Unveiling Thyroid Disease Associations: An Exceptionality-Based Data Mining Technique

Zhang,

Lee,

Lee

2023

Endocrines

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Background: The prevalence of thyroid disease has seen a rapid increase in recent times, primarily attributed to the fast pace of lifestyles that often result in poor dietary choices, work-life imbalances, social stress, genetic mutations, and improved diagnostic capabilities. However, the precise contribution of these factors to thyroid disease remains a subject of controversy. Consequently, there is a pressing need to gain a comprehensive understanding of the related associations in order to potentially mitigate the associated morbidity and mortality rates. Methods: This study employed association rule mining techniques to reveal hidden correlations among complex and diverse epidemiological connections pertaining to thyroid disease associations. We proposed a framework which incorporates text mining and association rule mining algorithms with exceptionality measurement to simultaneously identify common and exception risk factors correlated with the disease through real-life digital health records. Two distinctive datasets were analyzed through two algorithms, and mutual factors were retained for interpretation. Results: The results confirmed that age, gender, and history of thyroid disease are risk factors positively related to subsequent thyroid cancer. Furthermore, it was observed that the absence of underlying chronic disease conditions, such as diabetes, hypertension, or obesity, are associated with reduced likelihood of being diagnosed with thyroid cancer. Conclusions: Collectively, the proposed framework demonstrates its sound feasibility and should be further recommended for different disease in-depth knowledge discovery.

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Section: Proposed Tm-arm Frameworkmentioning

confidence: 99%

Unveiling Thyroid Disease Associations: An Exceptionality-Based Data Mining Technique

Zhang,

Lee,

Lee

2023

Endocrines

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“…Kecerdasan buatan komputer dapat melakukan hal-hal seperti manusia. Bagaimana otak manusia berpikir, belajar, mengambil keputusan dan bertindak sambil mencoba untuk mencari solusi yang disediakan dan kemudian dengan cara yang sama kita gunakan hasil tersebut untuk mengembangkan sistem cerdas (Kapoor N. And Bahl N., 2016).…”

Section: Pendahuluanunclassified

Sistem Pakar Diagnosa Penyakit Tetelo Menggunakan Metode Certainty Factor

Terisia,

Sestri,

Raihan

2022

JUSIN

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In today's technological era, computers are not only used as a tool to complete human work but can also run applications designed to access information quickly. Expert systems are one part of artificial intelligence. An Expert Systems application is an application that transfers expert knowledge to a computer. That way the computer can also solve problems as is usually done by experts. Expert systems have been widely developed in various fields, including the field of animal husbandry. Detection of tetelo disease can use an expert system application. One of them is to detect Tetelo disease. Therefore, breeders can access information about Tetelo disease that is diagnosed with the help of an expert system that uses the Certainty Factor method. The Certainty Factor method serves to determine the degree of certainty of the diagnosis result.

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“…Ini adalah sebuah data awal dan menggunakan aturan inferensi. Ini membantu dalam mengekstraksi lebih banyak data hingga tujuan tercapai [7]. Forward Chaining merupakan tipe kontruksi yang bisa diterapkan pada program logika umum [8], yang dapat membantu siswa untuk mendapatkan hasil tes kepribadian dengan lebih cepat tanpa harus melakukan tes psikologi ke psikiater, dan pakar dapat memberikan tes psikologi secara terkomputerisasi (tanpa perhitungan manual).…”

Section: Pendahuluanunclassified

Implementasi Metode Forward Chaining dalam Mengidentifikasi Kepribadian Siswa

Wandira

Na’am

2020

CoSciTech

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Personality is the overall psychological and physical aspects of an individual reacting and interacting with other individuals. Personality is a prominent and often shown thing that exists in an individual. Students have different personalities, and that will affect the quality of learning. To be able to improve the quality of learning, schools need to identify and understand the personality of their students. So that appropriate learning methods can be applied and the selection of appropriate majors in tertiary institutions. To identify student personality can be done with a system called the expert system. The expert system identifies student personalities using the forward chaining method obtained from State High School 1 Candung students (SMAN 1 Candung), Agam Regency. In the forward chaining method, the reasoning process starts from the facts first to test the truth of the hypothesis. The process of finding the data starts from the premises to the final conclusion. Creating an expert system for identifying student personalities using the PHP Programming Language and MySQL Database. The result of testing this method is knowing the personality of students so that appropriate learning methods can be applied, majors recommendations and advice on the type of work according to the personality of the student. Personality expert system has been able to identify the personality of students in determining learning methods and choosing majors as well as suggestions for the type of work. Personality expert systems have been able to identify student personalities in determining learning methods and selection of majors as well as suggestions for types of work. This expert system is already running well and can be recommended to help students, teachers and schools in improving the quality of learning in schools

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Comparative Study Of Forward And Backward Chaining In Artificial Intelligence

Cited by 8 publications

References 9 publications

Unveiling Thyroid Disease Associations: An Exceptionality-Based Data Mining Technique

Unveiling Thyroid Disease Associations: An Exceptionality-Based Data Mining Technique

Sistem Pakar Diagnosa Penyakit Tetelo Menggunakan Metode Certainty Factor

Implementasi Metode Forward Chaining dalam Mengidentifikasi Kepribadian Siswa

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