2013
DOI: 10.7763/ijiet.2013.v3.270
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The Development of Online Children Skin Diseases Diagnosis System

Abstract: 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 thro… Show more

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Cited by 9 publications
(6 citation statements)
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“…There are three different forms of skin cancer: melanoma, squamous cell carcinoma, and basal cell carcinoma [5The most frequent skin cancer, basal cell carcinoma, is also the least lethal if caught early [6]. Squamous cell carcinoma, the second kind, is the most prevalent type of skin cancer and develops in the cells that make up the top skin layers [7]. Their primary goal has been to offer a thorough analysis [8].…”
Section: Introductionmentioning
confidence: 99%
“…There are three different forms of skin cancer: melanoma, squamous cell carcinoma, and basal cell carcinoma [5The most frequent skin cancer, basal cell carcinoma, is also the least lethal if caught early [6]. Squamous cell carcinoma, the second kind, is the most prevalent type of skin cancer and develops in the cells that make up the top skin layers [7]. Their primary goal has been to offer a thorough analysis [8].…”
Section: Introductionmentioning
confidence: 99%
“…Different sources say similar studies [7] - [2] develop expert systems using the forward chaining method and use data derived from expert interviews. The expert system is used for more specific diagnoses of childhood diseases, skin, and mental disorders.…”
Section: Introductionmentioning
confidence: 99%
“…Accuracy obtained by these respective algorithms are 95-98% and 85%. In continuation to the above literature, various skin diseases can be detected and classified with various approaches, some of the important ones include: wavelet transformation and fuzzy inference system [26], support vector machine (SVM) [27] with 65.56% accuracy, k-means clustering and fuzzy-c means clustering [28], rule based and forward chaining inference engine [29], case based reasoning [30] achieving accuracies of 70%, 66.6% and 90%, respectively. For human skin color detection various methods have been used which include statistical modeling (GMM) [31]- [33] and genetic algorithm [34].…”
Section: Introductionmentioning
confidence: 99%