Expert-System Based Medical Stroke Prevention

Anindito,

doi:10.3844/jcssp.2013.1099.1105

Cited by 19 publications

(5 citation statements)

References 17 publications

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“…Ati and colleagues [11] developed a hybrid recommendation system for chronic diseases by adopting the multiple classification and unified collaborative filtering methods. Shortlife [12] conducted a review on expert systems in the field of medicine and possible systems that will be useful to physicians in the future λ. Amindito and colleagues [13] developed an expert and advisory system for the prevention of stroke. Another set of scientists developed a fuzzy expert system for the diagnosis and management of male impotence [14].…”

Section: Review Of Relevant Literaturementioning

confidence: 99%

Ebinformatics: Ebola fuzzy informatics systems on the diagnosis, prediction and recommendation of appropriate treatments for Ebola virus disease (EVD)

Oluwagbemi

Abimbola

2016

Informatics in Medicine Unlocked

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a b s t r a c tEbola Virus Disease (EVD) also known as the Ebola hemorrhagic fever is a very deadly infectious disease to humankind. Therefore, a safer and complementary method of diagnosis is to employ the use of an expert system in order to initiate a platform for pre-clinical treatments, thus acting as a precursor to comprehensive medical diagnosis and treatments. This work presents a design and implementation of informatics software and a knowledge-based expert system for the diagnosis, and provision of recommendations on the appropriate type of recommended treatment to the Ebola Virus Disease (EVD).In this research an Ebola fuzzy informatics system was developed for the purpose of diagnosing and providing useful recommendations to the management of the EVD in West Africa and other affected regions of the world. It also acts as a supplementary resource in providing medical advice to individuals in Ebola -ravaged countries. This aim was achieved through the following objectives: (i) gathering of facts through the conduct of a comprehensive continental survey to determine the knowledge and perception level of the public about factors responsible for the transmission of the Ebola Virus Disease (ii) develop an informatics software based on information collated from health institutions on basic diagnosis of the Ebola Virus Disease-related symptoms (iii) adopting and marrying the knowledge of fuzzy logic and expert systems in developing the informatics software. Necessary requirements were collated from the review of existing expert systems, consultation of journals and articles, and internet sources. Online survey was conducted to determine the level at which individuals are aware of the factors responsible for the transmission of the Ebola Virus Disease (EVD). The expert system developed, was designed to use fuzzy logic as its inference mechanism along with a set of rules. A knowledge base was created to help provide diagnosis on the Ebola Virus Disease (EVD). The Root Sum Square (RSS) was adopted as a fuzzy inference method. The degree of participation of each input parameter was shown using the triangular membership function and the defuzzification technique used is the Center of Gravity (CoG).The resulting software produced a user-friendly desktop-based, Windows-based, application and the tools used were explained in the results section in three (3) separate phases. First, a comprehensive online survey was conducted over a period of about 3-9 months. 100 Participants participated in the survey on the perception and knowledge analysis of different individuals about Ebola Virus Disease (EVD) transmission factors. 31% of the participants didn't know that there is presently no cure for Ebola. 28% believed that there is presently a cure for Ebola. 43% agreed that Ebola is both air-borne and water-borne, while 33% disagreed, 24% do not know. 23% believed that insects and mosquitoes can help in transmitting the Ebola Virus Disease (EVD), while 30% were completely ignorant. We noticed that ignorance was a major limiti...

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Section: Review Of Relevant Literaturementioning

confidence: 99%

Ebinformatics: Ebola fuzzy informatics systems on the diagnosis, prediction and recommendation of appropriate treatments for Ebola virus disease (EVD)

Oluwagbemi

Abimbola

2016

Informatics in Medicine Unlocked

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“…In order for the system to be efficient and function well, there is need to expand the knowledge base, incorporate its own experience in its stroke registry, modify underlying inference techniques, made it a mobile based system and implements the system. Expert-System Based Medical Stroke Prevention was designed and implemented by [2]. It was revealed through past research that stroke always comes unexpected and the general public is not usually aware of its symptoms.…”

Section: Diagnosis and Treatment Of Patients With Stroke In A Mobilementioning

confidence: 99%

“…It is noted that by the knowledge of personal stroke risk is a beginning step in preventing stroke. [2] and [8] calculated that costs to prevent stroke are significantly less than to treat one. In certain situations, whether either the case is quite complex and there is no medical experts readily available for patients, expert systems are useful.…”

Section: Introductionmentioning

confidence: 99%

Development of Fuzzy-Based Expert System for Stroke Prevention

2018

IJISCS

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A time has come whereby the rural dwellers need to be aware of the various health challenges that are facing them, and one of the best ways to reach this group of people is through a Mobile System because the majority of rural dwellers have died or become a burden to their families and society at large due to lack of beneficial information and standard health care facilities. Government of the day concentrates more in developing the urban areas rather than the rural areas. Most prominent disease that comes unexpectedly and the general public (especially the rural dwellers) is not usually aware of its symptoms is Stroke. Stroke could be prevented and its risk factors have been identified. Through a stroke prevention expert system, the user could be made more aware of stroke risks and symptoms. An expert system would be able to direct and motivate users to keep themselves healthy therefore preventing occurrence of stroke.In this research work, Fuzzy-Based Expert System for stroke prevention was designed. The model will be implemented using JAVA along with Extended Markup Language as the front-end. Android Studio Integrated Development Environment will be used for interface design of mobile forms and code editing. Embedded SQLite will serve as a backend.

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“…Ischemic stroke and hemorrhagic stroke are the two kinds of stroke that are the leading cause of mortality worldwide 2 . Medical personnel will be able to immediately identify possible stroke cases by using an expert system to analyze a variety of data from people who attend the hospital, including medical history, symptoms, and results of diagnostic tests, which points to initial detection of stroke [3][4][5][6][7] . The next step is for advice to be issued by suggesting more testing resulting to the best courses of action.…”

Section: Introductionmentioning

confidence: 99%