Serum Activins and Follistatin during the Treatment of Chronic Hepatitis C Genotypes 1 and 4 and Their Correlations with Viral Load and Liver Enzymes: A Preliminary Report by Bassem Refaat, Adel Galal El-Shemi, Ahmed Mohamed Ashshi, Adnan AlZanbagi

“…This study was cross-sectional and sera were collected from 165 participants classified into 7 groups: 40 healthy negative control, 33 treatment naïve patients as positive control, 19 patients at week 4, 22 at week 12, and 19 at week 24 of treatment initiation and 21 responders and 11 nonresponders at the end of 48-week treatment protocol. …”
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Identifying Cladribine prescription pattern in MS: an Italian multicentre study by Aurora Zanghì, Roberta Fantozzi, Matteo Foschi, Elisabetta Signoriello, Matilde Inglese, Giacomo Lus, Diego Centonze, Andrea Surcinelli, Tommaso Sirito, Simona Bonavita, Carlo Avolio, Emanuele D’Amico

“…Results: A total cohort of 352 patients was enrolled, 134 naïve to any DMT, 218 switchers from other DMTs. …”
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Machine learning for early detection and severity classification in people with Parkinson’s disease by Juseon Hwang, Changhong Youm, Hwayoung Park, Bohyun Kim, Hyejin Choi, Sang-Myung Cheon

“…For early PD detection, the stride length at HWS and CV of the stride length at LWS provided an accuracy of 67.3% with Naïve Bayes. Walking at PWS was the most critical feature for distinguishing early from moderate PD, with an accuracy of 69.8%. …”
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ENHANCING TOMATO LEAF DISEASE DETECTION THROUGH MULTIMODAL FEATURE FUSION by Puja SARAF, Jayantrao PATIL, Rajnikant WAGH

“…We have performed a comparison of different classifiers like Support Vector Machine (SVM), XGBoost, Random Forest (RF), Naive Bayes (NB), Convolutional Neural Network (CNN) and proposed Ensemble method used in the classification task. …”
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High Dose Ilaprazole/Amoxicillin as First-Line Regimen for Helicobacter pylori Infection in Korea by WonGun Kwack, YunJeong Lim, ChiYeon Lim, David Y. Graham

“…This was an open-labeled study of H. pylori infected treatment-naive patients. Subjects received dual therapy for 14 days: ilaprazole 40 mg tablets given twice a day and amoxicillin 750 mg tablets given 4 times a day. …”
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Developing an Intelligent System for Efficient Botnet Detection in IoT Environment by Ramesh Singh Rawat, Manoj Diwakar, Umang Garg, Prakash Srivastava

“…This paper focused on analyzing botnet traffic in an IoT environment using machine learning and deep learning classifiers: Decision tree classifier, Naïve Bayes, K nearest neighbor, Convolution neural network, Recurrent neural network, and Random Forest. …”
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Therapeutic Benefit in Rheumatoid Cachexia Illustrated Using a Novel Primary Human Triple Cell Coculture Model by Tracey Ollewagen, Gareth S. Tarr, Kathryn H. Myburgh, Helmuth Reuter, Carine Smith

“…This study aimed at determining differences in the cellular responses in a novel human primary cell triple coculture model exposed to serum collected from nonarthritic controls (NC), RA treatment naïve (RATN), and RA treatment-nonresponding (RATNR) patients. …”
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Prognostic signature and therapeutic drug identification for dilated cardiomyopathy based on necroptosis via bioinformatics and experimental validation by Han Yang, Zhenwei Wang, Yawei Xu, Yimei Du, Haibo Yang, Yang Lu

“…Notably, nTreg and iTreg cells were enriched in the high NRS group, while CD8 naive T cells and CD8 T cells positively correlated with NRS. …”
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Fault Diagnosis of Signal Equipment on the Lanzhou-Xinjiang High-Speed Railway Using Machine Learning for Natural Language Processing by Lei Shi, Yulin Zhu, Youpeng Zhang, Zhongji Su

“…This was compared and analyzed with the traditional Naive Bayes (NB), Logistic Regression (LR), Random Forest (RF), and K-Nearest Neighbor (KNN) algorithms. …”
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Google Yorumları Üzerinden Makine Öğrenme Yöntemleri ve Amazon Comprehend ile Duygu Analizi: İç Anadoluda Bir Üniversite Örneği by Sevim Özulukale Demirbilek, Mustafa Demirbilek

“…Web kazıma tekniği ile MS Excel’e aktarılan yorumlar, ön işleme sürecine tutulduktan sonra hem Lojistik Regresyon, Gaussian Naive Bayes ve Destek Vektör Makinesi gibi önemli denetimli makine öğrenmesi metotlarıyla hem de CatBoost gibi gelişmiş birleşik öğrenme metoduyla değerlendirilmiştir. …”
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Comparing Supervised Machine Learning Models for Covid-19 patient detection using a Combination of Clinical and Laboratory Dataset by Narges Mohebbi, Mehdi Tutunchian, Meysam Alavi, Mehrdad Kargari, Amir Behnam Kharazmy

“…Considering the importance and role of using clinical and laboratory data in the diagnosis of people with covid-19, in this paper K-NN, SVM, decision tree, random forest, Naive Bayes, neural network and XGBoost models are the most common machine learning models, and a dataset containing 1354 records consisting of clinical and laboratory data of patients in Imam Hossein Hospital in Tehran has been used to diagnose patients with covid-19. …”
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CIMA: A Novel Classification-Integrated Moving Average Model for Smart Lighting Intelligent Control Based on Human Presence by Aji Gautama Putrada, Maman Abdurohman, Doan Perdana, Hilal Hudan Nuha

“…Several classification models are proposed and compared, namely, k-nearest neighbor (KNN), support vector machine (SVM), decision tree (DT), näive Bayes (NB), and ensemble voting (EV). We build an Internet of things (IoT) system to collect movement data. …”
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Public Finance and Debt Crises in Southern Africa: A Push for Central Banks over Parliaments by Dunia Zongwe

“…Drawing on law and economics, this paper criticizes SADC’s decision to empower parliaments to tame sovereign debts as hopelessly naïve because they lack the incentives to do so. …”
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Increased N-Ethylmaleimide-Sensitive Factor Expression in Amygdala and Perirhinal Cortex during Habituation of Taste Neophobia by Beatriz Gómez-Chacón, Fernando Gámiz, Thomas C. Foster, Milagros Gallo

“…In the present experiments we investigate both the behavioral performance and the expression profile of NSF and GluR2 genes in several brain areas, including PRh, BLA, and hippocampus. Twenty-one naïve male Wistar rats were exposed to a saccharin solution (0.4%) during the first (novel), the second (Familiar I), and the sixth presentation (Familiar II). …”
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An Ensemble Based Machine Learning Classification for Automated Glaucoma Detection by Digvijay J. Pawar, Yuvraj K. Kanse, Suhas S. Patil

“…This paper has been designed to evaluate the performance of Probabilistic Neural Networks (PNN), K-Nearest Neighbour (KNN), Support Vector Machines (SVM), Naïve Bayes (NB) and Logistic Regression (LR) as individual and ensemble classifiers. …”
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Quantum Speedup of the Dispersion and Codebook Design Problems by Kein Yukiyoshi, Taku Mikuriya, Hyeon Seok Rou, Giuseppe Thadeu Freitas de Abreu, Naoki Ishikawa

“…In turn, GAS is a quantum exhaustive search algorithm that can be used to implement full-fledged maximum-likelihood optimal solutions. In conventional naive formulations, however, it is typical to rely on a binary vector spaces, resulting in search space sizes prohibitive even for GAS. …”
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Identification of Fake Comments in E-Commerce Based on Triplet Convolutional Twin Network and CatBoost Model by Juanjuan Peng

“…The benchmark experimental results show that the proposed TriCNN-CatBoost model significantly outperforms traditional Naive Bayes, Support Vector Machines, and Random Forest models in terms of accuracy, recall, and F1 score, demonstrating stronger false comment recognition ability and generalization performance. …”
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Twitter Sentiment Analysis Towards Candidates of the 2024 Indonesian Presidential Election by Rhoma Cahyanti, Desiana Nurul Maftuhah, Aris Budi Santoso, Indra Budi

“…To predict the sentiment, four different machine-learning methods were used and compared to each other. There are Naïve Bayes, Support Vector Machines, Random Forests, and Neural Networks.  …”
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Dynamic Impact-Based Heavy Rainfall Warning with Multi-classification Machine Learning Approaches by Anand Shankar

“…Support Vector Machine (SVM), Decision Tree (DT), K-Nearest Neighbour (KNN), and Naive Bayes are some of the machine learning methods used in the study to find out how dynamically vulnerable affected districts are to flooding in different compound scenarios. …”
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Otomatisasi Pendeteksi Kata Baku Dan Tidak Baku Pada Data Twitter Berbasis KBBI by M. Irfan Raif, Nuraisa Novia Hidayati, Tekad Matulatan

“…Penelitian sebelumnya menggunakan metode Levenshtein Distance dan pengklasifikasi Naïve Bayes, serta Term Based Random Sampling dalam proses Stopword Removal. …”
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