Introduction Health literacy is becoming a more important concept for the effective use of
health systems day by day. The main purpose of the study is to determine the importance …

Aim: Colon cancer is the third most common type of cancer worldwide. Because of the poor
prognosis and unclear preoperative staging, genetic biomarkers have become more …

Background Differentiated thyroid cancer (DTC) is the most prevalent endocrine malignancy
with a recurrence rate of about 20%, necessitating better predictive methods for patient …

Aim: The diagnosis of breast cancer can be accomplished using an algorithm or an early
detection model of breast cancer risk via determining factors. In the present study, gradient …

In this study, it is aimed to classify cancer based on machine learning (ML) and to determine
the most important risk factors by using risk factors for prostate cancer patients. Clinical data …

Objective: The primary aim of this study was to use metagenomic next-generation
sequencing (mNGS) data to identify coronavirus 2019 (COVID-19)-related biomarker genes …

Materials and Methods: The current study was performed using expression profile data from
a series of duodenal samples from familial adenomatous polyposis patients to explore …

ABSTRACT Background/Aims: The aim of this study was to both classify data of familial
adenomatous polyposis patients with and without duodenal cancer and to identify important …

Aim: The goal of this study is to produce user-friendly software for healthcare professionals
with various approaches such as detection, identification, classification, and tracking of …

Esta pesquisa tem por objetivo investigar o desempenho e a viabilidade de diferentes
modelos de regras de associação no contexto de classificação de malwares Android. Para …