Expert System for Disease Risk Based on Lifestyle with Fuzzy Mamdani

2018 ◽  
Vol 7 (2.3) ◽  
pp. 88 ◽  
Author(s):  
M Mesran ◽  
Muhammad Syahrizal ◽  
S Suginam ◽  
Nuning Kurniasih ◽  
Achmad Daengs GS ◽  
...  
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Disease Risk ◽  
The Body ◽  
Search Model ◽  
Healthy Living ◽  
Healthy Life ◽  
Heart And Mind

The importance of health for everyone to be able to empower everything that is owned and the environment maximally, health is closely related to healthy living. So that can be described the meaning of healthy life is to have health in life with no problems of disruption in life both physical in the form of disease in the body and non-physical that is related to the condition of the soul, heart and mind of a person in life both individually and socially. The use of expert systems with the search model with the Fuzzy Mamdani method can help to know the condition of the disease that may be suffered by each individual based on the pattern of life that he did. 

scholarly journals Parestesia Expert System! Expert System To Detect Paresthesia (Parestesia Expert System! Sistem Pakar Untuk Mendeteksi Penyakit Parestesia)

KOMTEKINFO ◽  
2020 ◽  
Vol 7 (3) ◽  
pp. 186-196
Author(s):  
Yonky Pernando
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Neurological Disorders ◽  
Neurological Disease ◽  
The Body ◽  
Nerve Tissue ◽  
Repetitive Movements ◽  
Long Time ◽  
Computer Based ◽  
Apparent Reason

Paresthesia is a condition where the sensation on the skin is abnormal, such as tingling, itching or numbness, for no apparent reason. This condition can occur only temporarily or for a long time (chronic). Bucharestesia can be temporary (temporary) or chronic. Almost everyone has experienced temporary paresthesia. This sensation occurs when nerves are accidentally compressed in certain body positions, such as sitting cross-legged for too long or sleeping with your head on your hands. Temporary paraesthesia will go away on its own when the pressure on the nerves is relieved. However, if the tingling feeling persists even though the pressure has been relieved, then there may be another disease or disorder in the body that is the cause. Chronic paresthesia is often a symptom of a neurological disease or caused by trauma to the nerve tissue. A variety of diseases can cause chronic paresthesia including vitamin deficiency, neurological disorders due to repetitive movements or other diseases. Chronic paraesthesia requires medication and management to heal. However, sometimes chronic paresthesia cannot completely heal even after undergoing treatment even though an expert system is a computer-based system that uses knowledge, facts, and reasoning techniques to solve problems that usually only one person can solve. Expert systems also help their activities as highly experienced assistants. Expert systems can also provide analysis of problems and can also recommend to users some actions to make improvements.

scholarly journals SISTEM PAKAR BERBASIS LOGIKA FUZZY UNTUK DETEKSI LEVEL PENYAKIT SCABIES

CCIT Journal ◽  
2017 ◽  
Vol 10 (2) ◽  
pp. 186-196
Author(s):  
Muhamad Safi’i ◽  
Hanny Haryanto
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Skin Disease ◽  
Direct Contact ◽  
Disease Diagnosis ◽  
The Body ◽  
Infected Person ◽  
History Of ◽  
Short Time

Scabies is a skin disease that is easily transmitted, either through direct contact or through intermediaries such as clothes, bed sheet, and water. The disease causes itching on the body, especially at night. Transmission of the scabies disease is very fast and can develop into an outbreak in a community. Obstacles that occur in the treatment of this disease is not all people with the disease could check it for a variety of reasons, such as too busy with work and economic limitations. This research using fuzzy Tsukamoto to develop an expert system for the detection of scabiesdisease. The use of expert systems is very important because it can be a tool to substitute the expert, the expert system is easy to use, and can make decisions in a short time. Scabies disease diagnosis process carried out by way of input symptoms  that suffered by patients. Symptoms that are used as input is a scratchy, itchy location, number of lesions or spots, and an extensive history of itching or the number of infected person. The outcome of this process is the level of scabies from mild to severe

scholarly journals Media Konsultasi Penyakit Kulit Pada Balita Menggunakan Metode Certainty Factor

2020 ◽  
Vol 3 (1) ◽  
pp. 10-17
Author(s):  
Sudi Utari ◽  
Uky Yudatama ◽  
Bambang Pujiarto
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Human Body ◽  
Skin Diseases ◽  
The Body ◽  
The Sun ◽  
Test Results ◽  
Certainty Factor ◽  
Factor Method ◽  
The One

The skin, which is the largest part  of the human body, is the body's first defense against bacterial and virus attacks. When the skin is exposed to the sun, dry weather, or bacteria, the reaction will spread to other parts of the body, and can even result in death if it is too late to be handled especially if the sufferers are children who are very vulnerable to disease. In this study an expert system was implemented to diagnose skin diseases in infants using the certainty factor method. certainty factor method is very suitable for expert systems that diagnose something that is uncertain. This system makes a diagnosis based on the symptoms felt by the user and then calculates certainty factors based on existing symptoms. Based on the test results by making comparisons between manual calculations and the one carried out by the system it is known that 90.22% of the diagnosis results get the same results so that the system is said to be suitable for use.  

Role of Rasayana in Prevention of COVID-19 - A Review

2020 ◽  
Vol 11 (SPL1) ◽  
pp. 716-722
Author(s):  
Sneha Dhakite ◽  
Sadhana Misar Wajpeyi
Keyword(s):  
Immune System ◽  
Respiratory System ◽  
Viral Infections ◽  
Cost Effective ◽  
The Body ◽  
Healthy Life ◽  
Vital Functions ◽  
Healthy Life Style ◽  
And Control

The “Coronavirus disease 19 (COVID-19)” is caused by “Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)”, a newly discovered member of the Coronaviridae family of viruses which is a highly communicable. There is no effective medical treatment till date for Coronavirus disease hence prevention is the best way to keep disease away. Rasayana proved to be highly efficacious and cost effective for the Prevention and Control of viral infections when vaccines and standard therapies are lacking. Rasayana Chikitsa is one of the eight branches of Ashtanga Ayurveda which helps to maintain healthy life style. Rasayana improves immunity and performs many vital functions of human body. Vyadhikshamatva that is immune mechanism of the body is involved in Prevention of the occurrence of a new disease and it also decreases the virulence and progression of an existing disease. In COVID-19 the Respiratory system mainly get affected which is evident from its symptoms like cold, cough and breathlessness. Here the drugs help in enhancing immune system and strengthening functions of Respiratory system can be useful. For this purpose, the Rasayana like Chyavanprasha, Agastya Haritaki, Pippali Rasayana, Guduchi, Yashtimadhu, Haridra, Ashwagandha, Tulsi are used. Rasayana working on Respiratory system are best for Prevention of Coronavirus and boosting immune system. Rasayana Chikitsa can be effective in the Prevention as well as reducing symptoms of COVID-19.

Myriad Aspects of Secular Thinking on Malayali Cuisine

GIS Business ◽  
2019 ◽  
Vol 14 (3) ◽  
pp. 202-206
Author(s):  
SAJITHA M
Keyword(s):  
Social Status ◽  
Daily Life ◽  
Social Indicators ◽  
The Body ◽  
Human Being ◽  
Healthy Life ◽  
The Social ◽  
The World ◽  
History Of ◽  
Civilized Society

Food is one of the main requirements of human being. It is flattering for the preservation of wellbeing and nourishment of the body.  The food of a society exposes its custom, prosperity, status, habits as well as it help to develop a culture. Food is one of the most important social indicators of a society. History of food carries a dynamic character in the socio- economic, political, and cultural realm of a society. The food is one of the obligatory components in our daily life. It occupied an obvious atmosphere for the augmentation of healthy life and anticipation against the diseases.  The food also shows a significant character in establishing cultural distinctiveness, and it reflects who we are. Food also reflected as the symbol of individuality, generosity, social status and religious believes etc in a civilized society. Food is not a discriminating aspect. It is the part of a culture, habits, addiction, and identity of a civilization.Food plays a symbolic role in the social activities the world over. It’s a universal sign of hospitality.[1]

Pengaruh Senam Diabetes Mellitus terhadap Persentase Lemak Tubuh Penderita DM Tipe II di Puskesmas Godean I

2017 ◽  
Vol 19 (1) ◽  
pp. 51-55
Author(s):  
Dyda Fahmi Fadhilah ◽  
Nurul Huda Syamsiatun ◽  
Idi Setiyobroto
Keyword(s):  
Diabetes Mellitus ◽  
Local Government ◽  
Body Fat ◽  
Fat Body ◽  
Disease Risk ◽  
Psychological Intervention ◽  
The Body ◽  
Type Ii ◽  
Paired Sample ◽  
Government Clinic

Background : The number of DM victims in the world increased year by year. According to Health Elementary Research in 2013  the highest number was in DIY, it was 2,6%. Then, according to Godean I Local Government Clinic data, DM was the second rank of Non-Communicable Disease (NCD) after hypertension. The increasing of DM victims number was connected by the overweight case that was influenced by unhealthy diet and lack ofphysic activities so it caused accumulation of fat tissues. In the next time it can cause complication for the victims. There are three pillars of DM management namely, diet, psychological intervention, and exercises. The first that should be done is exercises. One of them is physic exercises namely DM gymnastic. Its functions are to control blood sugar, lose weight and body fat so cardiovascular disease risk factor can be prevented and fixed. In this research the DM gymnastic was done three times in a week for six weeks in duration time of 30-60 minutes. Objective : Purpose of the research to know the influence of DM gymnastic to the change of fat body percentage of DM type II victims in Godean I Local Government Clinic. Method : Research method this research used quasi-experiment method, the research plan used pre-post design. The population was all of DM type II victims in Godean I Local Government Clinic with the subject number were 24 people. The data analysis used statistic test Paired Sample t Test with the credibility 95%. Result : Result of the research the statistic test Paired Sample t Ttest showed that there were not differences before and after DM gymnastic treatment for six weeks. According to the average of fat body percentage after DM gymnastic treatment was higher than before (32,52% > 32,86%). Conclusion : There was no influence of DM gymnastic to the body fat percentage of DM type II victims in GodeanI Local Government Clinic p = 0,59 or p = >0,05.   Keywords: Gymnastic, Diabetes Mellitus, Fat Body Percentage

SISTEM PAKAR MENDIAGNOSA VIRUS MAYORA DENGAN METODE VARIABLE CENTERED INTELLIGENT RULE SYSTEM (VCIRS)

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Siti Nurhena ◽  
Nelly Astuti Hasibuan ◽  
Kurnia Ulfa
Keyword(s):  
Artificial Intelligence ◽  
Immune System ◽  
Expert System ◽  
Expert Systems ◽  
Dengue Hemorrhagic Fever ◽  
Hemorrhagic Fever ◽  
Visual Basic ◽  
Artificial Intelligence Techniques ◽  
Individual Needs ◽  
Rule System

The diagnosis process is the first step to knowing a type of disease. This type of disease caused by mosquitoes is one of the major viruses (MAVY), dengue hemorrhagic fever (DHF) and malaria. Sometimes not everyone can find the virus that is carried by this mosquito, usually children who are susceptible to this virus because the immune system that has not been built perfectly is perfect. To know for sure which virus is infected by mosquitoes, it can diagnose by seeing symptoms perceived symptoms. Expert systems are one of the most used artificial intelligence techniques today because expert systems can act as consultations. In this case the authors make a system to start a diagnosis process with variable centered intelligent rule system (VCIRS) methods through perceived symptoms. With the facilities provided for users and administrators, allowing both users and administrators to use this system according to their individual needs. This expert system is made with the Microsoft Visual Basic 2008 programming language.Keywords: Expert System, Mayora Virus, Variable Centered Intelligent Rule System (VCIRS)The diagnosis process is the first step to knowing a type of disease. This type of disease caused by mosquitoes is one of the major viruses (MAVY), dengue hemorrhagic fever (DHF) and malaria. Sometimes not everyone can find the virus that is carried by this mosquito, usually children who are susceptible to this virus because the immune system that has not been built perfectly is perfect. To know for sure which virus is infected by mosquitoes, it can diagnose by seeing symptoms perceived symptoms.Expert systems are one of the most used artificial intelligence techniques today because expert systems can act as consultations. In this case the authors make a system to start a diagnosis process with variable centered intelligent rule system (VCIRS) methods through perceived symptoms.With the facilities provided for users and administrators, allowing both users and administrators to use this system according to their individual needs. This expert system is made with the Microsoft Visual Basic 2008 programming language.Keywords: Expert System, Mayora Virus, Variable Centered Intelligent Rule System (VCIRS)

Situsparu: Sistem Pakar Untuk Deteksi Penyakit Tuberkulosis Paru

2018 ◽  
Vol 10 (1) ◽  
pp. 41-47
Author(s):  
Ricky Surya ◽  
Dennis Gunawan
Keyword(s):  
Expert System ◽  
Tuberculosis Patient ◽  
The Body ◽  
Certainty Factor ◽  
Good Reliability ◽  
Delone And Mclean ◽  
The World ◽  
Index Terms ◽  
Manual Calculation ◽  
Tuberculosis Prevalence

Tuberculosis is an infectious disease caused by mycobacterium tuberculosis. It can affect some parts of the body: lungs, lymph nodes, intestines, kidneys, endometrium, bones, and brain. According to the survey of tuberculosis prevalence conducted by Republic of Indonesia Ministry of Health in 2013-2014, Indonesia was the second country in the world with the most case of tuberculosis. It makes Indonesia become a country with emergency in lungs tuberculosis. An expert system for lungs tuberculosis detection is built to help people detecting the possibility of suffering from lungs tuberculosis. Therefore, it is hoped that the lungs tuberculosis patient can have early treatment. Certainty factor is used to solve the uncertainty problem delivered by the doctor when examining the patient. Thus, certainty factor is an appropriate method to be used in the expert system for detecting certain disease. This method has been correctly implemented, proved by comparing system detection result to manual calculation result. The expert system has 81.25% accuracy, 83.49% success using DeLone and McLean model, and a cronbach alpha of 0.82 which indicates a good reliability based on the indicators used in the questionnaire. Index Terms— Certainty Factor, Disease Detection, Expert System, Pulmonary Tuberculosis, Situsparu

SISTEM PAKAR UNTUK DIAGNOSA PENYAKIT ANAK YANG DIDUKUNG OLEH BAHASA PEMOGRAMAN VISUAL

2017 ◽  
Vol 3 (2) ◽  
pp. 108
Author(s):  
Dian Permata Sari
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Human Knowledge ◽  
Inference Method ◽  
Medical Field ◽  
Forward Chaining ◽  
At Home

<p>Sistem pakar merupakan sistem yang mengadopsi pengetahuan manusia ke komputer yang dirancang untuk memodelkan kemampuan menyelesaikan masalah seperti layaknya seorang pakar. Dengan sistem pakar ini, orang awam pun dapat menyelesaikan masalahnya atau hanya sekedar mencari suatu informasi berkualitas yang sebenarnya hanya dapat diperoleh dengan bantuan para ahli di bidangnya. Salah satunya yaitu dibidang medis untuk mendiagnosapenyakit anak. Mengetahui gejala dari suatu penyakit secara dini dapat menjadi bantuan pertama yang dapat dilakukan para orang tua di rumah jika anak mereka terserang penyakit.Basis pengetahuan disusun sedemikian rupa kedalam database dengan beberapa tabel. Penarikan kesimpulan dalam sistem pakar ini menggunakan metode inferensi <em>forward chaining</em>. Sistem pakar akan memberikan pertanyaan-pertanyaan kepada user berupa gejala dari beberapa penyakit dan user akan menjawab pertanyaan tersebut. Hingga <em>user</em> akan mendapatkan solusi dari hasil pertanyaan tadi. </p><p><em><br /></em></p><p><em>Expert systems are systems that adopt human knowledge into computers designed to model the ability to resolve problems like an expert. Through thisexpert systems,commoner cansolvetheproblem orjustlookingfor a qualityinformationthat can onlybeobtainedwiththehelpofexperts in thefield. One ofthemis in the medical field to diagnosethe children's illness.Knowingthesymptomsofanillnessearly can bethefirstaidto parents if their children stricken withthedisease at home.</em><em>Knowledgebase is arranged into a highlystructureddatabasewithmultipletables. Inferences in this expert system uses forward chaining inference method. Expert systems will provide questions to the user in the form of the symptoms of some diseases and the user will answer that question. Until the user will get the solution of the question.</em></p>

scholarly journals Knowledge Acquisition and Representation for High-Performance Building Design: A Review for Defining Requirements for Developing a Design Expert System

2021 ◽  
Vol 13 (9) ◽  
pp. 4640
Author(s):  
Seung-Yeoun Choi ◽  
Sean-Hay Kim
Keyword(s):  
Decision Support ◽  
Expert System ◽  
Expert Systems ◽  
Knowledge Acquisition ◽  
Data Analytics ◽  
High Performance ◽  
Problem Definition ◽  
Design Expert ◽  
Decision Support Process ◽  
High Performance Building

New functions and requirements of high performance building (HPB) being added and several regulations and certification conditions being reinforced steadily make it harder for designers to decide HPB designs alone. Although many designers wish to rely on HPB consultants for advice, not all projects can afford consultants. We expect that, in the near future, computer aids such as design expert systems can help designers by providing the role of HPB consultants. The effectiveness and success or failure of the solution offered by the expert system must be affected by the quality, systemic structure, resilience, and applicability of expert knowledge. This study aims to set the problem definition and category required for existing HPB designs, and to find the knowledge acquisition and representation methods that are the most suitable to the design expert system based on the literature review. The HPB design literature from the past 10 years revealed that the greatest features of knowledge acquisition and representation are the increasing proportion of computer-based data analytics using machine learning algorithms, whereas rules, frames, and cognitive maps that are derived from heuristics are conventional representation formalisms of traditional expert systems. Moreover, data analytics are applied to not only literally raw data from observations and measurement, but also discrete processed data as the results of simulations or composite rules in order to derive latent rule, hidden pattern, and trends. Furthermore, there is a clear trend that designers prefer the method that decision support tools propose a solution directly as optimizer does. This is due to the lack of resources and time for designers to execute performance evaluation and analysis of alternatives by themselves, even if they have sufficient experience on the HPB. However, because the risk and responsibility for the final design should be taken by designers solely, they are afraid of convenient black box decision making provided by machines. If the process of using the primary knowledge in which frame to reach the solution and how the solution is derived are transparently open to the designers, the solution made by the design expert system will be able to obtain more trust from designers. This transparent decision support process would comply with the requirement specified in a recent design study that designers prefer flexible design environments that give more creative control and freedom over design options, when compared to an automated optimization approach.

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