Tanda klinis psoriasis selain penampakan dan distribusinya, ada tanda klinis khas pada psoriasis, yaitu fenomena tetesan lilin, tanda Auspitz, fenomena Koebner, serta rasa gatal dan nyeri yang bersifat lokal pada papul dan plak. Fenomena tetesan lilin terjadi ketika penggoresan skuama utuh dengan menggunakan pinggir gelas objek, lalu terjadi perubahan warna lebih putih menyerupai tetesan lilin. Tanda Auspitz adalah adanya darah yang keluar ketika lesi diangkat berupa pinpoint bleeding, sedangkan fenomena Koebner adalah lesi psoriasis yang diinduksi oleh adanya trauma pada kulit [2]. penyakit Psoriasis memiliki 8 jenis yaitu plak, kuku, kulit kepala, inversi, gutata, pustular, erotrodermik, artiris dan vulgaris. Kurangnya pengetahuan dan pemahaman terhadap penyakit psoriasis dan jenis – jenisnya menyebabkan seseorang lebih rentan terhadap beberapa penyakit tertentu, bahkan diantaranya cukup fatal seperti salah satunya kerusakan pada sendi sehingga kehilangan fungsinya dan dapat kelemahan.Dalam permasalahan ini diperlukan sebuah sistem salah satunya adalah sistem pakar yang dapat mendiagnosa penyakit Psoriasis sehingga dapat dilakukan penanganan ataupun pencegahan yang tepatHasil penelitian merupakan terciptanya sebuah aplikasi Sistem Pakar dengan Metode Certainty Factor yang dapat membantu dapat mendiagnosa penyakit Psoriasis
Gastrointestinal worm infection affects the Sumatran tiger. Due to the lack of tools to diagnose the disease, the Sumatran tigers are very often located in Medan Zoo, North Sumatra, and their handling is very rare.Based on the above problems, we need an application in the form of an expert system by applying the Certainty Factor method which is expected to help in diagnosing Gastrointestinal worm infection in Sumatran tigers. With the existing symptoms, the CF value can be determined to get a diagnosis of Gastrointestinal worm infection. So that it can make it easier for a doctor to treat and diagnose gastrointestinal worm infections in Sumatran tigers.The conclusion obtained from the system, is able to diagnose quickly, precisely and accurately the symptoms of gastrointestinal worm infections and is expected to help the community in diagnosing gastrointestinal worms experienced by Sumatran tigers so that treatment can be carried out immediately. This is an open access article under the CC BY-SA license
Porphyria refers to a group of genetic disorders that affect the metabolism of porphyrins in the body. Porphyrin itself is a molecule that plays a role in the synthesis of hemoglobin, which functions as a carrier of oxygen in the blood. Disturbances in porphyrin metabolism can lead to the accumulation of porphyrins or their precursors, which in turn can produce a variety of symptoms. Porphyria comes in many forms, including acute porphyria and skin porphyria, each with its own unique symptoms. Nervous system and skin problems are common in porphyria patients, and if not treated properly, their health condition can deteriorate. A unique approach is needed to provide answers to this problem because it is still challenging to develop practical ways to address the problems experienced by patients. Certainty Factor and Dempster Shafer methods are two techniques that are widely used in the field of disease diagnosis today, where expert systems are often applied. But building expert systems in multiple disciplines is difficult due to uncertainty. Therefore, it is important to research and distinguish the many ways that these systems can be built. The exponential comparison approach is one of the most straightforward comparison techniques and helps minimize bias in the analysis process. To identify candidiasis in humans, this study attempted to apply, evaluate, and compare the two methodologies, as well as compare the results with the exponential comparison method. Comparative findings suggest that the Dempster Shafer technique provides a more precise diagnosis of porphyria
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.