A Comparison of Machine Learning Algorithms for Predicting Alzheimer’s Disease Using Neuropsychological Data by Zakaria Mokadem, Mohamed Djerioui, Bilal Attallah, Youcef Brik

“…This study investigates the predictive performance of nine supervised machine learning algorithms—Logistic Regression, Decision Tree, Random Forest, K-Nearest Neighbors, Support Vector Machine, Gaussian Naïve Bayes, Multi-Layer Perceptron, eXtreme Gradient Boost, and Gradient Boosting—using neuropsychological assessment data. …”
Get full text

Spatial transcriptome reveals histology-correlated immune signature learnt by deep learning attention mechanism on H&E-stained images for ovarian cancer prognosis by Chun Wai Ng, Kwong-Kwok Wong, Barrett C. Lawson, Sammy Ferri-Borgogno, Samuel C. Mok

“…Methods In this study, 773 WSIs of H&E-stained tumor sections from 335 patients with treatment naïve high-grade serous ovarian cancer who were included in The Cancer Genome Atlas (TCGA) Pan-Cancer study were used to train, and validate, and to test a ResNet101 CNN model modified with attention mechanism. …”
Get full text

Despite antiretroviral therapy (ART) rollout, most cases of tuberculosis among people with HIV in Adama, Ethiopia, occur before ART initiation by Patrik Bristedt, Meseker Fentie, Per Björkman, Anton Reepalu

“…Most TB cases occurred in ART-naïve persons, illustrating late HIV diagnosis in this population.…”
Get full text

Washout Duration of Prostaglandin Analogues: A Systematic Review and Meta-analysis by Vlad Diaconita, Matthew Quinn, Dania Jamal, Brad Dishan, Monali S. Malvankar-Mehta, Cindy Hutnik

“…Despite the widespread use of this class of medication, there is a paucity of literature on the effects of PGA washout in patients that are treatment naïve to other topical medications.…”
Get full text

Mycobacterium tuberculosis Protein Rv3841 Activates Dendritic Cells and Contributes to a T Helper 1 Immune Response by Seunga Choi, Han-Gyu Choi, Ki-Won Shin, Yong Woo Back, Hye-Soo Park, Jae Hwi Lee, Hwa-Jung Kim

“…In addition, Rv3841-matured DCs effectively proliferated and polarized Th1 immune response of naïve CD4+ and CD8+ T-cells. Moreover, Rv3841 specifically caused the expansion of CD4+CD44highCD62Llow T-cells from Mtb-infected mice; besides, the T-cells activated by Rv3841-matured DCs inhibited intracellular mycobacterial growth. …”
Get full text

Grammaire d’une relation amicale asymétrique dans une société d’ordres by Claire Madl

“…Sans leur prêter ni cynisme calculateur, ni illusion naïve, il s’agit de déterminer les conditions de leurs relations qui se jouent à plusieurs niveaux. …”
Get full text

Defective expansion and function of memory like natural killer cells in HIV+ individuals with latent tuberculosis infection. by Kamakshi Prudhula Devalraju, Venkata Sanjeev Kumar Neela, Siva Sai Krovvidi, Ramakrishna Vankayalapati, Vijaya Lakshmi Valluri

“…<h4>Methods</h4>In this study, we compared the expansion and function of memory like NK cells from HIV-LTBI+ individuals and treatment naïve HIV+LTBI+ patients in response to Mtb antigens ESAT-6 and CFP-10.…”
Get full text

Key oncogenes and candidate drugs for hepatitis-B-driven hepatocellular carcinoma progression by Liqin Ruan, Ningbo Fang, Xinhua Zhao, Weili Chen, Zhaoping Wu, Xiaoyong Wu

“…Overall, HB-LC genes were significantly negatively correlated with Th17, MAIT, monocytes, and CD4 Naive cells, while they were positively correlated with B cells, nTreg cells, and Tr1 cells. …”
Get full text

Hybrid Learning Model for intrusion detection system: A combination of parametric and non-parametric classifiers by C. Rajathi, P. Rukmani

“…The parametric classifiers Logistic Regression (LR), Naïve Bayes Classifier (NBC), Linear Discriminant Analysis (LDA), Quadratic Discriminant Analysis (QDA) and Support Vector Machine with linear kernel (Linear SVM) were used as meta-models. …”
Get full text

A systematic mapping to investigate the application of machine learning techniques in requirement engineering activities by Shoaib Hassan, Qianmu Li, Khursheed Aurangzeb, Affan Yasin, Javed Ali Khan, Muhammad Shahid Anwar

“…Among those algorithms, researchers mostly used the five following ML algorithms in RE activities: Decision Tree, Support Vector Machine, Naïve Bayes, K‐nearest neighbour Classifier, and Random Forest. …”
Get full text

Risk Factors for Persistent or Recurrent Central Serous Chorioretinopathy by Jia Yu, Gezhi Xu, Qing Chang, Xiaofeng Ye, Lei Li, Chunhui Jiang, Qi Zhao

“…Consecutive treatment-naïve CSC patients were included from January 2017 to October 2018. …”
Get full text

T-Cell Subsets in Rheumatoid Arthritis Patients on Long-Term Anti-TNF or IL-6 Receptor Blocker Therapy by Sonja Dulic, Zsófia Vásárhelyi, Florentina Sava, László Berta, Balázs Szalay, Gergely Toldi, László Kovács, Attila Balog

“…The important findings are the following: (1) the proportion of regulatory T-cells (Tregs) which are decreased in untreated RA patients becomes normal in all long-term-treated groups; (2) in anti-TNF responders as well as in nonresponders, the frequencies of naïve CD4+ and CD8+ cells are lower, whereas those of proinflammatory Th1, Th2, and Th17 cells and HLA-DR+-activated cells are higher than those in untreated RA or healthy controls; (3) in IL-6R responders, Th1 proportion is decreased, while that of Th2 and Th17 is increased as compared to that in anti-TNF-treated patients and controls; (4) pending confirmation, a CD4CD69 ratio < 2.43 at baseline, could be useful to predict a good therapeutic response to anti-TNF therapy. …”
Get full text

Early OCT Angiography Changes of Macular Neovascularization in Patients with Exudative AMD Treated with Brolucizumab in a Real-World Setting by Anne Rübsam, Saskia Rau, Daniel Pilger, Oliver Zeitz, Antonia M. Joussen

“…This is a prospective, interventional, monocentric study on 10 eyes of 10 patients with a treatment-naïve neovascular AMD. Patients were treated according to the HAWK and HARRIER trials. …”
Get full text

Metabolic Syndrome Prediction Using Machine Learning Models with Genetic and Clinical Information from a Nonobese Healthy Population by Eun Kyung Choe, Hwanseok Rhee, Seungjae Lee, Eunsoon Shin, Seung-Won Oh, Jong-Eun Lee, Seung Ho Choi

“…A prediction model for MS was designed for a nonobese population using clinical and genetic polymorphism information with five machine learning algorithms, including naïve Bayes classification (NB). The analysis was performed in two stages (training and test sets). …”
Get full text

การวิเคราะห์ทางการท่องเที่ยวจังหวัดชลบุรีด้วยวิธีเหมืองข้อมูล... by อัครเดช ดุลย์แสง, อรปรียา สุขเกตุ, หทัยรัตน์ ดวงรัศมี, สุพาพร บรรดาศักดิ์

“…จังหวัดชลบุรีจะมีแหล่งท่องเที่ยวหลากหลายที่ทำให้นักท่องเที่ยวบางกลุ่มไม่สามารถตัดสินใจได้ว่าจะเลือกสถานที่ท่องเที่ยวใดได้ตรงกับความต้องการของตนเอง การวิจัยนี้มีวัตถุประสงค์เพื่อวิเคราะห์พฤติกรรมและปัจจัยที่มีผลต่อการตัดสินใจทางการท่องเที่ยวจังหวัดชลบุรี ด้วยวิธีเหมืองข้อมูลสู่การสร้างโมเดลในการแนะนำสถานที่ท่องเที่ยว จากการเก็บรวบรวมข้อมูลด้วยแบบสอบถาม กับ 120 กลุ่มตัวอย่างที่เป็นนักท่องเที่ยวเชิงพื้นที่ การวิเคราะห์ข้อมูลโดยใช้เทคนิคการทำเหมืองข้อมูล 4 เทคนิค ทั้ง Naïve Bayes, Decision Tree, K-Nearest Neighbors และ Multi-Layer Perceptron ทั้งนี้ ข้อค้นพบทางการศึกษาเกี่ยวกับปัจจัยที่มีอิทธิพลสูงต่อการตัดสินใจเลือกสถานที่ท่องเที่ยวได้แก่ ความชอบด้านธรรมชาติ การพักผ่อน และความสะดวกในการเดินทางของกรอบการนำไปพัฒนาและสร้างแอปพลิเคชัน หรือ แพลตฟอร์มในการแนะนำสถานที่ท่องเที่ยวที่สอดคล้องและตรงกับความต้องการของนักท่องเที่ยวในอนาคตได้อย่างมีประสิทธิภาพ…”
Get full text

Autopilot control unmanned aerial vehicle system for sewage defect detection using deep learning by Binay Kumar Pandey, Digvijay Pandey, S. K. Sahani

“…The UAV camera's sewerage image is then classified as “defective” or “not defective” using the obtained features by a Weighted Naive Bayes Classifier (WNBC). Next, images of the sewerage lines captured by the UAV are analyzed using speed‐up robust features (SURF) and deep learning to identify different types of defects. …”
Get full text

Nationwide multi-centric prospective study for the identification of biomarkers to predict the treatment responses of nivolumab through comprehensive analyses of pretreatment plasm... by Kuniaki Sato, Satoshi Toh, Taku Murakami, Takafumi Nakano, Takahiro Hongo, Mioko Matsuo, Kazuki Hashimoto, Masashi Sugasawa, Keisuke Yamazaki, Yushi Ueki, Torahiko Nakashima, Hideoki Uryu, Takeharu Ono, Hirohito Umeno, Tsutomu Ueda, Satoshi Kano, Kiyoaki Tsukahara, Akihito Watanabe, Ichiro Ota, Nobuya Monden, Shigemichi Iwae, Takashi Maruo, Yukinori Asada, Nobuhiro Hanai, Daisuke Sano, Hiroyuki Ozawa, Takahiro Asakage, Takahito Fukusumi, Muneyuki Masuda

“…In parallel, paired treatment-naïve tumor and plasma samples (N = 20) were assayed to elucidate biological implications of the PEX mRNA signature.ResultsAssays for pre-treatment blood samples (N = 104) demonstrated that a combination of 6 candidate PEX mRNAs plus neutrophil-to-lymphocyte ratio precisely distinguished non-survivors from &gt;2-year survivors (2-year OS; 0% vs 57.7%; P = 0.000124) with a high hazard ratio of 2.878 (95% CI 1.639-5.055; P = 0.0002348). …”
Get full text

Empirical research on the evolution trend of heat and sentiment for emergencies by Shihong Wu, Wei Yu, Yanxia Zhao, Hongyan Li, Jiatong Wang, Weiyan Yang, Yue Lin

“…By utilizing the co-word network and Louvain algorithm for theme division, along with sentiment analysis constructed through time series analysis of sentiment value changes for various emergencies employing the naive Bayes method, the evolution of public opinion is comprehensively assessed. …”
Get full text

Brain-wide activation involved in 15 mA transcranial alternating current stimulation in patients with first-episode major depressive disorder by Jie Wang, Qing Xue, Wenfeng Zhao, Huang Wang, Haixia Leng, Mao Peng, Xiukun Jin, Liucen Tan, Keming Gao, Hongxing Wang, Baoquan Min

“…Background Although 15 mA transcranial alternating current stimulation (tACS) has a therapeutic effect on depression, the activations of brain structures in humans accounting for this tACS configuration remain largely unknown.Aims To investigate which intracranial brain structures are engaged in the tACS at 77.5 Hz and 15 mA, delivered via the forehead and the mastoid electrodes in the human brain.Methods Actual human head models were built using the magnetic resonance imagings of eight outpatient volunteers with drug-naïve, first-episode major depressive disorder and then used to perform the electric field distributions with SimNIBS software.Results The electric field distributions of the sagittal, coronal and axial planes showed that the bilateral frontal lobes, bilateral temporal lobes, hippocampus, cingulate, hypothalamus, thalamus, amygdala, cerebellum and brainstem were visibly stimulated by the 15 mA tACS procedure.Conclusions Brain-wide activation, including the cortex, subcortical structures, cerebellum and brainstem, is involved in the 15 mA tACS intervention for first-episode major depressive disorder. …”
Get full text

Inaudible airborne ultrasound affects emotional states in the olfactory bulbectomized rat depression model by Tsugumi Yamauchi, Kou Takahashi, Toshinori Yoshioka, Daisuke Yamada, Yoshio Nakano, Satoka Kasai, Satoshi Iriyama, Kazumi Yoshizawa, Shoichi Nishino, Satoru Miyazaki, Akiyoshi Saitoh

“…Here, we investigated the impact of US exposure on the emotional state of OBX rats. In naive rats, exposure to 100 kHz US for 1 h did not increase the number of c-Fos-positive cells in auditory-related cortical areas, and US, as a tone cue, did not elicit a conditioned fear response in the auditory fear conditioning test. …”
Get full text