[PDF][PDF] Utilisation of machine learning techniques in testing and training of different medical datasets

MM Mijwil, RA Abttan - Asian Journal of Computer and …, 2021 - pdfs.semanticscholar.org
On our planet, chemical waste increases day after day, the emergence of new types of it, as
well as the high level of toxic pollution, the difficulty of daily life, the increase in the …

Komparasi Algoritma Naive bayes dan SVM Untuk Memprediksi Keberhasilan Imunoterapi Pada Penyakit Kutil

A Supriyatna, WP Mustika - J-SAKTI (Jurnal Sains …, 2018 - ejurnal.tunasbangsa.ac.id
Kutil merupakan masalah kesehatan kulit yang pada umumnya ditandai dengan munculnya
bejolan kecil bertekstur kasar pada permukaan kulit yang disebabkan oleh virus yaitu …

Framework for the development of data-driven Mamdani-type fuzzy clinical decision support systems

YF Hernández-Julio, MJ Prieto-Guevara… - Diagnostics, 2019 - mdpi.com
Clinical decision support systems (CDSS) have been designed, implemented, and validated
to help clinicians and practitioners for decision-making about diagnosing some diseases …

Intralesional injection of purified protein derivative versus Candida antigen in treatment of genital warts

NZ Tawfik, MMK Eyada… - Dermatologic …, 2022 - Wiley Online Library
The Genital warts are common sexually transmitted diseases caused by definite types of
human papillomavirus. There are many strategies for the treatment of genital wart and …

Predicting the success of wart treatment methods using decision tree based fuzzy informative images

SB Akben - biocybernetics and biomedical engineering, 2018 - Elsevier
Warts are small, rough, benign tumours caused by human papillomavirus (HPV). A
challenge is predicting the success of wart treatment methods because success may vary …

Nanovesicular photodynamic clinical treatment of resistant plantar warts

M Fadel, K Kassab, N Samy, D Abdelfadeel… - Current Drug …, 2020 - ingentaconnect.com
Background: Photodynamic therapy which involves the use of photosensitizer molecule
activated by a light source was proven very promising for the treatment of dermatological …

Hybrid extreme learning machine approach for heterogeneous neural networks

V Christou, MG Tsipouras, N Giannakeas, AT Tzallas… - Neurocomputing, 2019 - Elsevier
In this paper, a hybrid learning approach, which combines the extreme learning machine
(ELM) with a genetic algorithm (GA), is proposed. The utilization of this hybrid algorithm …

DC programming and DCA for parametric-margin ν-support vector machine

F Bazikar, S Ketabchi, H Moosaei - Applied Intelligence, 2020 - Springer
As a development of ν-support vector machine (ν-SVM), parametric-margin ν-support vector
machine (Par-ν-SVM) can be useful in many cases, especially heteroscedastic noise …

Using fuzzy neural networks to the prediction of improvement in expert systems for treatment of immunotherapy

AJ Guimarães, VJ Silva Araujo… - … Conference on Artificial …, 2018 - Springer
Warts and condylomas are benign skin proliferation caused by HPV (human
papillomavirus), which can appear anywhere in the body, including the genital regions. One …

Management of difficult-to-treat warts: traditional and new approaches

PC Friedman - American Journal of Clinical Dermatology, 2021 - Springer
Warts are regularly treated by dermatologists, and while many respond readily to first-line
treatments, others may represent a therapeutic challenge. Large, deep, numerous, and …