An Expert System for Diagnosis Of Human Diseases

Patra, Priyadarsan; Sahu, Dipti Prava; Mandal, Indrajit

doi:10.5120/279-439

Cited by 39 publications

(23 citation statements)

References 2 publications

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“…Sebuah sistem pakar untuk diagnosis (DExS) dapat membantu banyak dalam mengidentifikasi penyakit tersebut dan menjelaskan metode pengobatan yang harus dilakukan. Sistem pakar pada penelitian ini menggunakan aturan penelusuran dan memainkan peran penting dalam memberikan metode tertentu untuk diagnosis pengobatan [5].…”

Section: Pendahuluanunclassified

“…Aplikasi sistem pakar telah berhasil untuk mendiagnosis hama dan penyakit tanaman bawang merah dan cabai seperti halnya diagnosis di tanaman padi [4] dan deteksi beragam penyakit lain di [5][6][7][8][9]. Aplikasi ini menggunakan rule-based reasoning [3], walaupun tidak lebih handal daripada frame-based dari sisi validitas dan kecepatan proses [7].…”

Section: Gambar 5 Bagan Integrasi Sistemunclassified

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Sistem Pakar Diagnosis Hama dan Penyakit Tanaman Hortikultura dengan Teknik Inferensi Forward dan Backward Chaining

Sasmito¹

2017

Jurnal Teknologi dan Sistem Komputer

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-One of the obstacles to doing cultivation of horticulture plant is to overcome pest and disease. Pest and disease attack can decrease productivity and even causes harvest fail that influence toward one of income sources the country. Therefore the diagnose on pest and disease must be done fastly and accurately. One of horticulture plant is red onion and chili plant. An expert system is offered as the second choice after expert on consultation. Using Expert System Development Life Cycle (ESDLC) method, combination inference engine of and backward chaining for diagnosing pest and horticulture plant disease created as giving the solution. The technique of reasoning used in this research is the rule-based. The result of the research is an application that can be used to diagnosis pest and disease horticulture plant, that are red onion and chili. By this application, the farmer can determine quick action should be taken if the farm pests and diseases, without waiting for a consultation with an expert to do the handling. The application result also could be a learning system to the farmer about pest and disease horticulture plant. Keywords : expert system;forward chaining;backward chaining;rule-based reasoning; ESDLC; horticulture plant.Abstrak -Salah satu kendala melakukan budidaya tanaman hortikultura adalah dalam mengatasi hama dan penyakit. Serangan hama dan penyakit dapat menurunkan produktivitas dan bahkan menyebabkan gagal panen yang berpengaruh terhadap salah satu sumber devisa negara. Oleh karena itu, diagnosis terhadap hama dan penyakit harus dilakukan dengan cepat dan akurat. Tanaman hortikultura tersebut salah satunya adalah bawang merah dan cabai. Sistem pakar dihadirkan sebagai pilihan kedua setelah pakar dalam melakukan konsultasi. Dengan menggunakan metode Expert System Development Life Cycle (ESDLC), penggabungan teknik inferensi forward dan backward chaining untuk diagnosis hama dan penyakit tanaman hortikultura dibuat sebagai solusi atas permasalahan yang ada. Teknik penalaran yang digunakan dalam penelitian ini yakni rule-based reasoning. Hasil penelitian berupa aplikasi yang dapat dijadikan sarana konsultasi untuk melakukan diagnosis terhadap hama dan penyakit tanaman hortikultura, yakni berupa bawang merah dan cabai. Dengan aplikasi ini petani dapat mengetahui tindakan cepat yang harus dilakukan apabila lahan pertaniannya terserang hama dan penyakit, tanpa menunggu konsultasi dengan seorang pakar untuk melakukan penanganan. Aplikasi yang dihasilkan juga dapat dijadikan sebagai sistem pembelajaran bagi petani tentang hama dan penyakit tanaman hortikultura. I. PENDAHULUANHortikultura merupakan komoditas pertanian khas tropis yang potensial untuk dikembangkan di Indonesia dan memiliki prospek yang cerah di masa mendatang sekaligus sebagai sumber perolehan devisa bagi Indonesia. Tanaman hortikultura yang banyak dibudidayakan di Indonesia, namun bila dilihat dari hasilnya masih belum memuaskan. Hal ini disebabkan oleh berbagai faktor, di antaranya adalah teknik budidaya, kondisi lingkungan s...

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Section: Pendahuluanunclassified

Section: Gambar 5 Bagan Integrasi Sistemunclassified

Sistem Pakar Diagnosis Hama dan Penyakit Tanaman Hortikultura dengan Teknik Inferensi Forward dan Backward Chaining

Sasmito¹

2017

Jurnal Teknologi dan Sistem Komputer

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“…In a related research, [19] implemented and intelligent system based support vector machine and Radial Basis Function (RBF) type of Artificial Neural Network (ANN) to diagnose heart disease. However, SVM was proposed because it produced a better result (86.42%) compared to RBF (80.81%).…”

Section: ) Support Vector Machine (Svm)mentioning

confidence: 99%

Artificial Intelligence in Personalized Medicine Application of AI Algorithms in Solving Personalized Medicine Problems

Awwalu¹,

Garba²,

Ghazvini³

et al. 2015

IJCTE

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Abstract-ArtificialIntelligence has significantly gained grounds in our daily livelihood in this age of information and technology. As with any field of study, evolution takes place in terms of breakthrough or developmental research leading to advancement and friendly usability of that specific technology. Problems from different areas have been successfully solved using Artificial Intelligence algorithms. In order to use AI algorithms in solving Personalized Medicine problems such as; disease detection or prediction, accurate disease diagnosis, and treatment optimization, the choice of the algorithm influenced by its ability and applicability matters. This paper reviews the application and ability of artificial neural network (ANN), support vector machines (SVM), Naï ve Bayes, and fuzzy logic in solving personalized medicine problems, and shows that the obtained results meet expectations. Also, the achievement from the previous studies encourages developers and researchers to use these algorithms in solving Medical and Personalized Medicine problems.Index Terms-Personalized medicine, artificial neural networks, support vector machines, Naive Bayesian. I. INTRODUCTIONIt is always a surprising problem seeing a drug work for some people and be less effective on others, or causing side effects in another. Another problem is the question of why some people develop some diseases e.g. cancers, while others do not. Genetic make-up and other differential factors such as age; lifestyle could be reasons for these problems. As such, [1] believes medicine should approach each patient"s illness as unique, with medication tailored to the person"s history and biology. This approach to medical practice is known as Personalized or Precision Medicine.Patients with same diagnostics result must not be treated the same way; they can receive different treatment in order to achieve efficient treatment as illustrated in Fig. 1. Personalized medicine as a branch or extension of Medical Sciences uses practice and medical decisions to deliver customized healthcare service to patients. The major role of personalized medicine as posited by [2] is to predict the possibility of an individual developing a disease, achieve accurate diagnosis, and optimize the best treatment available.

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“…There are many expert systems that were developed to diagnose diseases, prescribing drugs or provide suggestive treatment [6]- [10]; but a few for skin diseases diagnosis. Rubin has designed an expert system 'Dermdx', to aid in the interpretation and diagnosis of biopsies of inflammatory diseases of the skin [11].…”

Section: Related Workmentioning

confidence: 99%

The Development of Online Children Skin Diseases Diagnosis System

Yusof¹,

Aziz²,

Fei³

2013

IJIET

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Abstract-Human habits tend to assume that certain skin diseases are not severe problem. If their children skin had been infected by certain skin diseases, most of the parents or guardian will try to treat this infected skin on their own. However, sometimes this treatment was not suitable with that particular skin problem and can make it become worse. This paper proposes a development of an Online Children Skin Diseases Diagnosis System. This system enables user to recognize skin diseases faced by children through online and provide user advises or treatments in shorter time period. To do so, user will answer questions based on their skin condition or symptoms. It will then helps in detecting the skin diseases and provide treatment suggestion. A rule based and forward chaining inference engine has been used for the development of the system. With this system, it help and allows user recognize children skin diseases via online system and provide useful suggestion to user.Index Terms-Children skin diseases, rule based, expert system. I. INTRODUCTIONSkin diseases are diseases that may originate inside the body and manifest on the skin or start from the skin and manifest on the skin [1]. Some common skin diseases are eczema and rash can infected children and adults. For instances, Atopic Eczema can affects 2 in every 10 people in Malaysia and about 10% -14% of children below the age of 14 [2]. Basically, if children skin had been infected by certain skin diseases, most of the parents or guardian will try to treat this infected skin on their own. However, apparently this treatment was not suitable with that particular skin problem and can make it become worse. These cause disruption for children during their daily routine especially for those children that started attending school.Human habit tend to assume that certain skin diseases are not severe problem, and they tend to not seeing the medical expert in helping diagnose skin diseases. One more problem with skin disease is the difficulty in recognizing the main cause. This occurs because the symptoms of different diseases are quite similar with each other. Therefore, the Online Children Skin Diseases Diagnosis System is developed to help parents to recognize the particular children skin diseases which infected their children in short time period. In the development of this system, the concept of expert system is used. This system will provide question list for parents to choose the symptom as answer and these answers will help in generating diagnosis result.In this paper, we place our focus on common children skin diseases. The main objective of this paper is to develop expert system for diagnosing the children skin diseases in near future. There are six types of common diseases have been identified for this research; viral rash, eczema, impetigo, urticaria, chicken pox and fifth disease. As mention before, the mistake in diagnosing this skin disease can lead to more serious infection. Hence, this research is important for user with the purpose to assist them in det...

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An Expert System for Diagnosis Of Human Diseases

Cited by 39 publications

References 2 publications

Sistem Pakar Diagnosis Hama dan Penyakit Tanaman Hortikultura dengan Teknik Inferensi Forward dan Backward Chaining

Sistem Pakar Diagnosis Hama dan Penyakit Tanaman Hortikultura dengan Teknik Inferensi Forward dan Backward Chaining

Artificial Intelligence in Personalized Medicine Application of AI Algorithms in Solving Personalized Medicine Problems

The Development of Online Children Skin Diseases Diagnosis System

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