scholarly journals DIAGNOSA PENYAKIT KULIT WAJAH MENGGUNAKAN METODE DECESSION TREE DAN ALGORITMA C4.5

2019 ◽  
Vol 2 (1) ◽  
pp. 74-86
Author(s):  
Abdul Aziz ◽  
Karpen Karpen
Keyword(s):  
Data Mining ◽  
Skin Disease ◽  
Skin Diseases ◽  
Facial Skin ◽  
The Face ◽  
Tree Method

Today's face is something that is very much considered by both women and men. Women and men do facial treatments so often because the face is the first thing to see when meeting someone. However, there are those that often interfere with the face, one of which is a skin disease that is very diverse ranging from acne, dullness, blackheads to cancer. In fact, to overcome this, many people always consult with doctors, especially face problems. One thing that can be done is to diagnose facial skin diseases using the decession tree method and the c 4.5 algorithm. The existence of this system is expected to be a solution in conducting consultations for women and men for facial problems. By using the decession tree method and the c 4.5 algorithm and by using a number of data mining, it will give results that can be used as guidelines in treating facial skin diseases. In addition, the existence of this system will also be very helpful in the field of services to consumers, both women and men, especially for facial care to avoid facial skin diseases, which has been a problem so far.

Prediction of Skin Diseases Using Machine Learning

2022 ◽  
pp. 154-178
Author(s):  
Siddhartha Kumar Arjaria ◽  
Vikas Raj ◽  
Sunil Kumar ◽  
Priyanshu Shrivastava ◽  
Monu Kumar ◽  
...  
Keyword(s):  
Machine Learning ◽  
Data Mining ◽  
Skin Disease ◽  
Skin Diseases ◽  
Information Gain ◽  
Machine Learning Algorithms ◽  
Ensemble Method ◽  
Chi Square ◽  
Data Mining Techniques ◽  
Disease Rates

Skin disease rates have been increasing over the past few decades. It has led to both fatal and non-fatal disabilities all around the world, especially in those areas where medical resources are not good enough. Early diagnosis of skin diseases increases the chances of cure significantly. Therefore, this work is comparing six machine learning algorithms, namely KNN, random forest, neural network, naïve bayes, logistic regression, and SVM, for the prediction of the skin diseases. The information gain, gain ratio, gini decrease, chi-square, and relieff are used to rank the features. This work comprises the introduction, literature review, and proposed methodology parts. In this research paper, a new method of analyzing skin disease has been proposed in which six different data mining techniques are used to develop an ensemble method that integrates all the six data mining techniques as a single one. The ensemble method used on the dermatology dataset gives improved result with 94% accuracy in comparison to other classifier algorithms and hence is more effective in this area.

scholarly journals Human Facial Disease Diagnosis System Using Dempster Shafer Method

2019 ◽  
Vol 1 (1) ◽  
pp. 6-11
Author(s):  
Ahmad Tri Hidayat ◽  
Suhirman ◽  
Kais Ismail Ibraheem
Keyword(s):  
System Design ◽  
Human Body ◽  
Skin Disease ◽  
Skin Diseases ◽  
Public Awareness ◽  
Disease Diagnosis ◽  
Facial Skin ◽  
Sources Of Information ◽  
Diagnosis System ◽  
Knowledge Based

Skin is a very important and sensitive part of the human body. It is directly related to the outside world. In everyday life, the skin plays an important role. One of its functions is to remove waste substances. The lack of knowledge and limited sources of information causes low public awareness of skin health as well as not seeing a doctor. Regular skin checks can overcome the beginning of skin diseases that might trigger other more dangerous diseases. The system in this study is designed to detect and to know the symptoms of facial skin diseases that are felt. This knowledge-based system design was developed to diagnose human facial skin disease using the dempster shafer method. The results can help detecting earlier facial skin diseases and overcoming them. Key words : diagnosis system, facial skin disease, dempster-shafer

scholarly journals A CONCEPTUAL STUDY OF VYANGA WITH SPECIAL REFERENCE TO MELASMA

2021 ◽  
pp. 88-92
Author(s):  
Mamatha S.M ◽  
Jayanthi C ◽  
Raghuveer
Keyword(s):  
Skin Diseases ◽  
The Body ◽  
Facial Skin ◽  
Root Cause ◽  
Oral Medications ◽  
The Face ◽  
Conceptual Study ◽  
The Individual ◽  
Mental Exertion ◽  
Pathological Situation

Ayurveda is the best way to deal with it as it cures the root cause of any problem. According to Ayurveda skin diseases are caused by imbalance of Doshas and therefore treatment depends on imparting harmony and balance for the individual. In Ayurveda skin diseases are included under the heading of Kushta and Kshudrarogas. Vyanga is one among the Kshudra rogas, even though Vyanga is a Kshudraroga it produces a great misery for the person due to dark discoloration of the skin, mostly over the face, occasionally on neck and rarely in forearms. Vyanga is a pathological situation of the facial skin which is produced due to the vitiation of Vata, Pitta, Rakta and Manasika Nidanas such as Krodha (anger), Shoka (sorrow), and Ayasa (mental exertion) are main culprits, these producing cardinal features such as Niruja (painless), Tanu (thin) and Shyavavarna Mandalas (bluish black colour patches). The Lakshanas of Vyanga are explained by different authors in the classical texts of Ayurveda under the heading of Kshudra rogas, Sushruta samhita, Ashtanga samghraha, Madhava nidana, Ashtanga hrudaya, Bhava prakasha, Sharangadhara samhita. In the context of Vyanga both Shodhana and Shamana chikitsa are explained in the form of Raktamokshana, Lepa, Abhyanga, and oral medications. Vyanga is correlated with melasma in the modern aspects, it is a chronic, acquired cutaneous characterised by hypopigmented patches on sun exposed areas of the face. Ayurveda cures the root cause of any problem. Any activity that increases the fire or heat in the body increase Pitta and can lead to skin diseases.

Pengoptimalan Air Leri dalam Pembuatan Sabun Pembersih Wajah Alami yang Ekonomis

2017 ◽  
Vol 3 (1) ◽  
Author(s):  
Rahmawati Rahmawati ◽  
Trimayasari Trimayasari ◽  
Ghozali Akhmad Mustaqim ◽  
Wening Dwi Prastiwi ◽  
Emas Agus Prastyo Wibowo
Keyword(s):  
Amino Acids ◽  
Fine Particles ◽  
Hard Water ◽  
Essential Amino Acids ◽  
Ultraviolet Rays ◽  
Starch Granules ◽  
Facial Skin ◽  
Skin Cells ◽  
The Face ◽  
Made In

AbstractSoap facial cleanser is needed to keep the facial skin to keep them clean and healthy. The purpose of this study to make soap cleanser with natural materials such as hard water deposits leri. This is because the use of leri water starch or starch granules of fine particles contained in water leri dansel dust can shed the dead skin on the face because of the essential amino acids contained can regenerate skin cells. In addition, water leri can brighten the face because the leri water oryzanol contain substances that can update the development and formation of the pigment melanin, which is effectively to ward off ultraviolet rays. The process of making soap using the principle of saponification reaction, namely the reaction between the oil and the KOH/NaOH. Facial cleansing soap made in this study is solid soap. Based on the results of quality test, soap solid leri water has a pH of 11.1, saponification number is 33, the water content of 46% as well as respondents to the test aspects of aroma and foam shows good results so this water leri treatment can be an alternative solution to prevent the use of soap facial cleansers that contain harmful chemicals. Keywords: air leri, soap cleanser, saponification  AbstrakSabun pembersih wajah sangat diperlukan untuk menjaga kulit wajah agar tetap bersih dan sehat. Tujuan dari penelitian ini untuk membuat sabun pembersih wajah dengan bahan alami berupa endapan air leri. Penggunaan air leri ini dikarenakan butiran partikel starch atau pati halus yang terdapat dalam air leri dapat merontokkan debu dansel kulit mati pada wajah karena asam amino esensial yang terkandung dapat meregenerasi sel-sel kulit. Selain itu, air leri dapat mencerahkan wajah karena air leri mengandung zat oryzanol yang dapat memperbarui perkembangan dan pembentukan pigmen melanin, yang efektif guna menangkal sinar ultraviolet. Proses pembuatan sabun menggunakan prinsip reaksi saponifikasi, yaitu reaksi antara minyak dan KOH/NaOH. Sabun pembersih wajah yang dibuat dalam penelitian ini ialah sabun padat. Berdasarkan hasil uji mutu, sabun air leri padat memiliki pH 11,1, angka penyabunan sebesar 33 kadar air 46 kadar air 46 % serta uji responden terhadap aspek aroma dan busa yang menunjukkan hasil cukup baik sehingga pengolahan air leri ini dapat menjadi solusi alternative untuk mencegah penggunaan sabun pembersih wajah yang mengandung bahan kimia berbahaya. Kata kunci: air leri, sabun pembersih wajah, saponifikasi 

Development of Dermatological Skin Disease Detection and Classification based on Wavelet and ANN

2018 ◽  
Vol 8 (5) ◽  
pp. 10
Author(s):  
Revati Kadu ◽  
U. A. Belorkar
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Skin Disease ◽  
Skin Diseases ◽  
Screening Method ◽  
Phase Detection ◽  
Statistical Measures ◽  
The World ◽  
Artificial Neural ◽  
Wavelet Techniques

One of the most common and augmenting health problems in the world are related to skin. The most  unpredictable and one of the most difficult entities to automatically detect and evaluate is the human skin disease because of complexities of texture, tone, presence of hair and other distinctive features. Many cases of skin diseases in the world have triggered a need to develop an effective automated screening method for detection and diagnosis of the area of disease. Therefore the objective of this work is to develop a new technique for automated detection and analysis of the skin disease images based on color and texture information for skin disease screening. In this paper, system is proposed which detects the skin diseases using Wavelet Techniques and Artificial Neural Network. This paper presents a wavelet-based texture analysis method for classification of five types of skin diseases. The method applies tree-structured wavelet transform on different color channels of red, green and blue dermoscopy images, and employs various statistical measures and ratios on wavelet coefficients. In all 99 unique features are extracted from the image. By using Artificial Neural Network, the system successfully detects different types of dermatological skin diseases. It consists of mainly three phases image processing, training phase, detection  and classification phase.

scholarly journals Single-cell RNA-seq reveals fibroblast heterogeneity and increased mesenchymal fibroblasts in human fibrotic skin diseases

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Cheng-Cheng Deng ◽  
Yong-Fei Hu ◽  
Ding-Heng Zhu ◽  
Qing Cheng ◽  
Jing-Jing Gu ◽  
...  
Keyword(s):  
Single Cell ◽  
Skin Disease ◽  
Skin Diseases ◽  
Rna Seq ◽  
Fibrotic Disease ◽  
Functional Studies ◽  
Fibrotic Diseases ◽  
Fibroblast Heterogeneity ◽  
Keloid Fibroblasts ◽  
Excessive Accumulation

AbstractFibrotic skin disease represents a major global healthcare burden, characterized by fibroblast hyperproliferation and excessive accumulation of extracellular matrix. Fibroblasts are found to be heterogeneous in multiple fibrotic diseases, but fibroblast heterogeneity in fibrotic skin diseases is not well characterized. In this study, we explore fibroblast heterogeneity in keloid, a paradigm of fibrotic skin diseases, by using single-cell RNA-seq. Our results indicate that keloid fibroblasts can be divided into 4 subpopulations: secretory-papillary, secretory-reticular, mesenchymal and pro-inflammatory. Interestingly, the percentage of mesenchymal fibroblast subpopulation is significantly increased in keloid compared to normal scar. Functional studies indicate that mesenchymal fibroblasts are crucial for collagen overexpression in keloid. Increased mesenchymal fibroblast subpopulation is also found in another fibrotic skin disease, scleroderma, suggesting this is a broad mechanism for skin fibrosis. These findings will help us better understand skin fibrotic pathogenesis, and provide potential targets for fibrotic disease therapies.

scholarly journals Appearance-related psychosocial distress following facial skin cancer surgery using the FACE-Q Skin Cancer

2019 ◽  
Vol 311 (9) ◽  
pp. 691-696
Author(s):  
Toral S. Vaidya ◽  
Shoko Mori ◽  
Stephen W. Dusza ◽  
Anthony M. Rossi ◽  
Kishwer S. Nehal ◽  
...  
Keyword(s):  
Skin Cancer ◽  
Psychosocial Distress ◽  
Cancer Surgery ◽  
Facial Skin ◽  
The Face ◽  
Skin Cancer Surgery

Data Mining for ERW Welded Tube Scheduling Rules Based on Decision Tree

2011 ◽  
Vol 403-408 ◽  
pp. 1804-1807
Author(s):  
Ning Zhao ◽  
Shao Hua Dong ◽  
Qing Tian
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Arc Welding ◽  
Data Cleaning ◽  
Data Extraction ◽  
Electric Arc ◽  
Welded Tube ◽  
Electric Arc Welding ◽  
Decision Tree Method ◽  
Tree Method

In order to optimize electric- arc welding （ERW） welded tube scheduling , the paper introduces data cleaning, data extraction and transformation in detail and defines the datasets of sample attribute, which is based on analysis of production process of ERW welded tube. Furthermore, Decision-Tree method is adopted to achieve data mining and summarize scheduling rules which are validated by an example.

Approach to the Diagnosis of Skin Disease

2017 ◽  
Author(s):  
Robert T Brodell ◽  
Stephen E Helms ◽  
Lindsey B Dolohanty
Keyword(s):  
Key Words ◽  
Skin Disease ◽  
Skin Diseases ◽  
Suggested Approach ◽  
Diagnostic Skills ◽  
Diagnosis Errors

The diagnosis of skin disease is not something that changes radically year to year. In fact, for hundreds of years physicians have been assessing the skin to diagnose and treat skin diseases and  to “view” internal diseases. The latest edition of this review provides several updates that enhance our approach to the diagnosis of skin disease with active links to updated digital references and atlases. These will be valuable to students, residents, and physicians interested in improving their dermatologic diagnostic skills. A new algorithm highlights our suggested approach to cutaneous diagnoses. It is our hope that readers will begin to “think like dermatologists” as they digest the contents of this review.  Key words: Macule, papule, vesicle, bulla, plaque, excoriation, scale, ulceration, diagnosis, errors This review contains 13 figures, 5 tables, 17 references, and 7 additional readings.

The Importance of Skin Disease as Assessed by “Willingness-To-Pay”

2003 ◽  
Vol 7 (5) ◽  
pp. 369-371 ◽  
Author(s):  
Lauren Parks ◽  
Rajesh Balkrishnan ◽  
Line Hamel-Gariépy ◽  
Steven R. Feldman
Keyword(s):  
Willingness To Pay ◽  
Skin Disease ◽  
Skin Diseases ◽  
Medical Conditions ◽  
Monthly Basis ◽  
Related Quality ◽  
Health Related ◽  
Optimal Resource ◽  
The Impact

Background: To achieve optimal resource allocation in health care, it is necessary to value competing resource uses according to the benefit derived from those uses. Skin disease makes as great an impact as other serious medical conditions when assessed by effects on health-related quality of life. Objective: To confirm the high impact of skin disease by comparing patients' willingness to pay (WTP) to be cured or relieved from symptoms of skin and nonskin conditions. Methods: We searched the published literature on WTP to compare the impact of dermatologic conditions with the impact of other medical conditions. A total of 46 articles were identified of which 10 included information on willingness to pay for cure reported on a monthly basis. Results: WTP for skin diseases fell in the range of $125–260/month and was comparable or higher than all but one of the other identified conditions. Conclusion: Willingness to pay for relief from skin diseases is comparable to that for relief of other serious medical conditions. Skin diseases are associated with a significant adverse impact on patients' lives.

Sign in / Sign up

Export Citation Format

Share Document