Acute Lymphoblastic Leukemia Presenting Initially as Spinal Cord Compression: When Chemotherapy Alone Is Enough by Albert Jang, Kallie N. Kram, Scott N. Berger, Mahmoud R. Gaballa, Lee B. Lu, David R. Dunaway, Courtney N. Miller-Chism

“…The success of this case recommends chemotherapy as the initial management of SCC in chemotherapy-naïve ALL.…”
Get full text

Utilizing Machine Learning-based Classification Models for Tracking Air Pollution Sources: A Case Study in Korea by Yelim Choi, Bogyeong Kang, Daekeun Kim

“…Using 972 datasets consisting of five emission sources and 27 air pollutants, different classification models were implemented and subsequently compared: Random Forest (RF), Naïve Bayes Classifier (NBC), Support Vector Machine (SVM), Artificial Neural Network (ANN), and K-Nearest Neighbors (K-NN). …”
Get full text

Comparison of Classification Algorithms with Wrapper-Based Feature Selection for Predicting Osteoporosis Outcome Based on Genetic Factors in a Taiwanese Women Population by Hsueh-Wei Chang, Yu-Hsien Chiu, Hao-Yun Kao, Cheng-Hong Yang, Wen-Hsien Ho

“…To elucidate relationships between osteoporosis and SNPs in this population, three classification algorithms were applied: multilayer feedforward neural network (MFNN), naive Bayes, and logistic regression. A wrapper-based feature selection method was also used to identify a subset of major SNPs. …”
Get full text

Previous treatment decreases efficacy of pralsetinib in RET fusion-positive non-small-cell lung cancer by Lei Wang, Yafei You, Wenzhuo He, Yu Hou, Lan Li, Li Wang, Chang Jiang, Jiahong Yi, Yaoxiong Xia, Liangping Xia

“…Baseline characteristics of the treatment naive group and pre-treated group were listed. The median PFS tended to be better in treatment naive group (18.3 vs. 8.0 months, P = 0.067), while the median OS were similar between the two groups (28.4 vs. 11.6 months, P = 0.308). …”
Get full text

Transcriptomic profiles of monocyte-derived macrophages exposed to SARS-CoV-2 VOCs reveal immune-evasion escape driven by delta by Alessia Gallo, Josè Camilla Sammartino, Roberta Vazzana, Roberto Giambruno, Claudia Carcione, Nicola Cuscino, Salvatore Castelbuono, Vitale Miceli, Matteo Bulati, Daniele Lilleri, Irene Cassaniti, Pier Giulio Conaldi, Fausto Baldanti

“…Surprisingly, our data showed that macrophages exposed to the Delta variant exhibited a transcriptional profile more similar to the naïve control group, while macrophages exposed to the Omicron variant showed intermediate differentially expressed genes (DEGs) between the two groups. …”
Get full text

Enhancing Heart Attack Prediction with Machine Learning: A Study at Jordan University Hospital by Mohammad Alshraideh, Najwan Alshraideh, Abedalrahman Alshraideh, Yara Alkayed, Yasmin Al Trabsheh, Bahaaldeen Alshraideh

“…Various artificial intelligence techniques, namely, random forest, SVM, decision tree, naive Bayes, and K-nearest neighbours (KNN) were explored with particle swarm optimization (PSO) for feature selection. …”
Get full text

LYMPHOCYTES IN PATIENTS WITH CHRONIC ACTIVE EPSTEIN-BARR VIRUS INFECTION EXHIBITED ELEVATED PD-1/PD-L1 EXPRESSION AND A PREVAILING TH2 IMMUNE RESPONSE. by kang sun

“…Additionally, patients with CAEBV showed markedly decreased frequency of helper T cells 1 (Th1) and naïve T (Tn) cells, and significantly elevated frequency of Th2 and effector-memory T (Tem) cells. …”
Get full text

Molecular and Cellular Mechanisms of Immunosenescence: Modulation Through Interventions and Lifestyle Changes by Luca Pangrazzi, Andreas Meryk

“…At the cellular level, immunosenescence manifests as decreased production of naive T and B cells, accumulation of memory and senescent cells, thymic involution, and dysregulated cytokine production. …”
Get full text

Fish cells persistently infected with nervous necrosis virus produce a small-molecule substance for reducing cellular metabolism and suppressing viral multiplication by Han Sol Lee, Toyohiko Nishizawa

“…No significant morphological differences were observed between the naïve and PI-cells in either cell line. Antiviral activity suppressing the multiplication of NNV was detected in the culture fluids of all PI-cell lines. …”
Get full text

Integrating Handcrafted Features with Machine Learning for Hate Speech Detection in Albanian Social Media by Fetahi Endrit, Hamiti Mentor, Susuri Arsim, Zenuni Xhemal, Ajdari Jaumin

“…We utilized several machine-learning algorithms, including Support Vector Machine (SVM), Naive Bayes (NB), Random Forest (RF), and Logistic Regression (LR), and extracted a considerable number of handcrafted features. …”
Get full text

Targeted Advertising in Social Media Platforms Using Hybrid Convolutional Learning Method besides Efficient Feature Weights by Seyed Mohsen Ebadi Jokandan, Peyman Bayat, Mehdi Farrokhbakht Foumani

“…Using accuracy, recall, F-measure, and precision metrics, we compared our algorithm to standard techniques such as SVM, Logistic regression, Naïve Bayes, and CNN. According to the findings, hashtag, brand ID, movie title, and actors achieve the highest scores, and the values for actual training time in various data ratios are relatively linear, which confirms the scalability of the proposed model for large datasets. …”
Get full text

Challenges in Assessing Outcomes among Infants of Pregnant HIV-Positive Women Receiving ART in Uganda by Barbara Castelnuovo, Frank Mubiru, Ivan Kalule, Shadia Nakalema, Agnes Kiragga

“…Two of the mothers of the 4 HIV-positive infants were ART-naïve at the time of pregnancy. We report very low documented HIV transmission comparable with those reported in clinical trials settings; however, demonstrating the efficacy of Option B-plus in terms of averted transmission in routine settings is challenging since high proportion of infants do not have documented HIV tests.…”
Get full text

ANTHROPOLOGICAL COMPONENT OF DESCARTES’ ONTOLOGY by Anatolii M. Malivskyi

“…The use of the euristic potential of phenomenology, postpositivism and postmodernism makes it possible to emphasize the multiple-layer and multiple-meaning classical philosophy works, to comprehend the limitation and scarcity of the naïve-enlightening vision of human nature and to look for a new reception of European classics that provides the overcoming of established nihilism and pessimism concerning the interpretation of human nature. …”
Get full text

Anthropological Component of Descartes’ Ontology by Anatolii M. Malivskyi

“…The use of the euristic potential of phenomenology, postpositivism and postmodernism makes it possible to emphasize the multiple-layer and multiple-meaning classical philosophy works, to comprehend the limitation and scarcity of the naïve-enlightening vision of human nature and to look for a new reception of European classics that provides the overcoming of established nihilism and pessimism concerning the interpretation of human nature. …”
Get full text

CoLR: Classification-Oriented Local Representation for Image Recognition by Tan Guo, Lei Zhang, Xiaoheng Tan, Liu Yang, Zhiwei Guo, Fupeng Wei

“…Naïve sparse representation has stability problem due to its unsupervised nature, which is not preferred for classification tasks. …”
Get full text

A novel classification method for balance differences in elite versus expert athletes based on composite multiscale complexity index and ranking forests. by Yuqi Cheng, Dawei Wu, Ying Wu, Youcai Guo, Xinze Cui, Pengquan Zhang, Jie Gao, Yanming Fu, Xin Wang

“…We calculated the CMCI and used four machine learning algorithms-Logistic Regression, Support Vector Machine(SVM), Naive Bayes, and Ranking Forest-to combine these features and assess each participant's balance ability. …”
Get full text

Detection of COVID-19 Using Protein Sequence Data via Machine Learning Classification Approach by Siti Aminah, Gianinna Ardaneswari, Mufarrido Husnah, Ghani Deori, Handi Bagus Prasetyo

“…To optimize performance, we employed machine learning classification algorithms such as K-nearest neighbor (KNN), XGBoost, and Naïve Bayes, along with feature selection techniques like genetic algorithm (GA), LASSO, and support vector machine recursive feature elimination (SVM-RFE). …”
Get full text

Analysis of Noise Pollution during Dussehra Festival in Bhubaneswar Smart City in India: A Study Using Machine Intelligence Models by Sourav Kumar Bhoi, Chittaranjan Mallick, Chitta Ranjan Mohanty, Ranjan Soumya Nayak

“…The supervised ML models taken in this work are Decision Tree (DT), Neural Network (NN), k-Nearest Neighbor (k-NN), Naïve Bayes (NB), Support Vector Machine (SVM), and Random Forest (RF). …”
Get full text

LASSO-mCGA: Machine Learning and Modified Compact Genetic Algorithm-Based Biomarker Selection for Breast Cancer Subtype Classification by Nimisha Ghosh, Sankar Kumar Mridha, Rourab Paul

“…To identify such biomarkers, initially LASSO in association with four machine learning models such as Random Forest (RF), Support Vector Machine (SVM), K-Nearest Neighbours (KNN) and Naive Bayes (NB) are applied on the dataset to find the initial reduced set of genes as well as the best learning model based on classification accuracy; SVM in this case. …”
Get full text

Eyes that Do Not Meet the Eligibility Criteria of Clinical Trials on Age-Related Macular Degeneration: Proportion of the Real-World Patient Population and Reasons for Exclusion by Jae Hui Kim, Jong Woo Kim, Chul Gu Kim

“…This retrospective, observational study included 512 eyes of 463 patients diagnosed with treatment-naïve neovascular AMD. The proportion of eyes that did not meet the eligibility criteria of the Vascular Endothelial Growth Factor Trap-Eye: Investigation of Efficacy and Safety in Wet AMD (VIEW) studies were evaluated. …”
Get full text