ANDROID APPLICATION FOR DETECTION OF SKIN CANCER USING EXPERT SYSTEM

Skin cancer is an abnormal growth of human skin that can damage skin cells. By knowing the symptoms of skin cancer as early as posssible, it is helpful in preventing the spread of cancer cells and treatment. There are many factors that cause skin cancer, but in general the cause is exposure to ultraviolet rays from the sun. Therefore, an expert system application is required to detect skin cancer. By using backward chining and probalility methode; which data is in form of someone’s risk factor and clinical sympthoms, then the application will provide temporary diagnosis. This application is built in an android platfrom because in its development android is more used than other platforms. The accuracy obtained from this application is 96.67%.

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Understanding Melanoma in Kids and Adults

Frontiers for Young Minds ◽

10.3389/frym.2021.570445 ◽

2021 ◽

Vol 9 ◽

Author(s):

Holly Neale ◽

Jillian M. Richmond

Keyword(s):

Skin Cancer ◽

Young People ◽

Early Diagnosis ◽

Protective Clothing ◽

Sun Exposure ◽

The Body ◽

The Sun ◽

Abnormal Growth ◽

Protective Actions

Did you know the reason behind wearing sunscreen is more than just preventing a sunburn? Sun damage to the skin over a lifetime can lead to the most dangerous type of skin cancer, called melanoma. Melanoma is abnormal growth of the pigment-producing cells of the skin, the same types of cells that make up moles. Though rare in young people, the risk for melanoma increases with age. Melanoma in kids looks and acts differently than it does in adults, often making the diagnosis challenging for doctors. Early diagnosis is important so that the melanoma can be removed and treated before it spreads to other parts of the body. Protective actions done in childhood, such as wearing sunscreen, avoiding excessive sun exposure, and wearing protective clothing when out in the sun, will help to prevent melanoma later in life.

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Comparative Analysis of Skin Cancer (Benign vs. Malignant) Detection Using Convolutional Neural Networks

Journal of Healthcare Engineering ◽

10.1155/2021/5895156 ◽

2021 ◽

Vol 2021 ◽

pp. 1-17

Author(s):

Mohammed Rakeibul Hasan ◽

Mohammed Ishraaf Fatemi ◽

Mohammad Monirujjaman Khan ◽

Manjit Kaur ◽

Atef Zaguia

Keyword(s):

Skin Cancer ◽

Mortality Rate ◽

Support Vector ◽

Work Processes ◽

Abnormal Growth ◽

Skin Cells ◽

Skin Cancers ◽

Malignant Skin ◽

Common Skin ◽

Cancer Spread

We live in a world where people are suffering from many diseases. Cancer is the most threatening of them all. Among all the variants of cancer, skin cancer is spreading rapidly. It happens because of the abnormal growth of skin cells. The increase in ultraviolet radiation on the Earth’s surface is also helping skin cancer spread in every corner of the world. Benign and malignant types are the most common skin cancers people suffer from. People go through expensive and time-consuming treatments to cure skin cancer but yet fail to lower the mortality rate. To reduce the mortality rate, early detection of skin cancer in its incipient phase is helpful. In today’s world, deep learning is being used to detect diseases. The convolutional neural network (CNN) helps to find skin cancer through image classification more accurately. This research contains information about many CNN models and a comparison of their working processes for finding the best results. Pretrained models like VGG16, Support Vector Machine (SVM), ResNet50, and self-built models (sequential) are used to analyze the process of CNN models. These models work differently as there are variations in their layer numbers. Depending on their layers and work processes, some models work better than others. An image dataset of benign and malignant data has been taken from Kaggle. In this dataset, there are 6594 images of benign and malignant skin cancer. Using different approaches, we have gained accurate results for VGG16 (93.18%), SVM (83.48%), ResNet50 (84.39%), Sequential_Model_1 (74.24%), Sequential_Model_2 (77.00%), and Sequential_Model_3 (84.09%). This research compares these outcomes based on the model’s work process. Our comparison includes model layer numbers, working process, and precision. The VGG16 model has given us the highest accuracy of 93.18%.

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Android Application of Expert System for Gastroenteritis Detection

Jurnal Teknologi dan Sistem Komputer ◽

10.14710/jtsiskom.5.3.2017.110-114 ◽

2017 ◽

Vol 5 (3) ◽

pp. 110-114 ◽

Cited By ~ 1

Author(s):

Misik Puspajati Nurmadjid Saputri ◽

R. Rizal Isnanto ◽

Ike Pertiwi Windasari

Keyword(s):

Internal Medicine ◽

Expert System ◽

System Application ◽

Expert Knowledge ◽

Search Algorithm ◽

Public Understanding ◽

Android Application ◽

Forward Chaining ◽

Best First Search

Lack of public understanding of gastroenteritis, which is often suspected as diarrhea, causes the treatment of the disease to be less effective. An expert system application was developed to help people to detect gastroenteritis easily. The application used forward chaining method and best-first-search search algorithm. Expert knowledge was obtained from two doctors of the Gastroenterohepatology of Internal Medicine. The application runs on Android devices and has been able to detect gastroenteritis disease without dehydration, acute dehydration gastroenteritis mild, moderate and severe.

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Risk factors for basal cell carcinoma: a case-control study

Revista de Saúde Pública ◽

10.1590/s0034-89101995000100006 ◽

1995 ◽

Vol 29 (1) ◽

pp. 27-37 ◽

Cited By ~ 38

Author(s):

Marcus Maia ◽

Nelson Guimarães Proença ◽

José Cássio de Moraes

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Regression Analysis ◽

Risk Factor ◽

Skin Cancer ◽

Basal Cell Carcinoma ◽

Cell Carcinoma ◽

Basal Cell ◽

Odds Ratio ◽

The Sun

A controlled trial was performed with the purpose of investigating which factors could be considered of significant risk for the development of basal cell carcinoma. A total of 259 cases of basal cell carcinoma diagnosed from July 1991 to July 1992 were compared with 518 controls matched for age and sex. All subjects in both groups were white. Protocol data were submitted to statistical analysis by the chi-square test and by multiple conditional logistic regression analysis and the following conclusions were reached: 1) light skin color (types I and II of the Fitzpatrick classification), odds ratio of 2.8; outdoor work under constant sunlight, odds ratio of 5.0; the presence of actinic lesions due to exposure to the sun, odds ratio of 4.9, are risk factors perse. 2) Type III skin in the Fitzpatrick classification only represents a risk factor when the patient reports a history of intense sunburns, but not in the absence of such a history. 3) Sunburns per se do not represent a risk factor althorig the point made in item 2 of these conclusions is valid. 4) Other suspected risk factors whose significance was not confirmed by multiple conditioned logistic regression analysis were: residence in rural areas, light eyes and blond hair color, extent of the awareness of the "sun x skin cancer" relationship, familial occurrence of skin cancer, excessive exposure to the sun, and freckles appearing in childhood.

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Pengoptimalan Air Leri dalam Pembuatan Sabun Pembersih Wajah Alami yang Ekonomis

JST (Jurnal Sains Terapan) ◽

10.32487/jst.v3i1.223 ◽

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

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A Comprehensive Review on Nanotechnology-Based Innovations in Topical Drug Delivery for the Treatment of Skin Cancer

Current Pharmaceutical Design ◽

10.2174/1381612826666200819202821 ◽

2020 ◽

Vol 26 (44) ◽

pp. 5720-5731 ◽

Cited By ~ 1

Author(s):

Arun Singh Lalotra ◽

Vishesh Singh ◽

Bharat Khurana ◽

Shelly Agrawal ◽

Shubham Shrestha ◽

...

Keyword(s):

Skin Cancer ◽

Cell Carcinoma ◽

Systemic Exposure ◽

Chemotherapeutic Agents ◽

The Body ◽

Toxic Substances ◽

Abnormal Growth ◽

Dermal Layer ◽

Therapeutic Benefits ◽

Carrier Systems

Background: Skin is the largest organ of the body and helps to regulate several physiological functions. It acts as a barrier that protects the body against UV-radiation, toxic substances, infections, etc. The abnormal growth of the skin cells is called skin cancer. Different types of skin cancer can be classified as Basal Cell Carcinoma (BCC) and Squamous Cell Carcinoma (SCC); which mainly occur due to chronic exposure to UV- sunlight and pollution. Methods: The conventional topical treatments of skin cancer such as cream, gel, ointment, etc., are more occlusive and thus they do not penetrate deep into the skin (dermal layer) and remain at the upper part of the skin (epidermal layer). The stratum corneum acts as a physiological barrier for the drug-loaded in the conventional formulation. The novel carrier systems have the potential to facilitate the penetration of the drug deep into the skin (dermal layer) because these have less size and higher flexibility than conventional treatment. Conclusion: In the present review, we have discussed various novel carrier systems being investigated for the topical application of chemotherapeutic agents for efficient skin targeting and better dermatological as well as therapeutic benefits with minimal systemic exposure and toxicity.

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