Triphasic CT Radiomics Model for Preoperative Prediction of Hepatocellular Carcinoma Pathological Grading by Huang H, Pan X, Zhang Y, Yang J, Chen L, Zhao Q, Huang L, Lu W, Deng Y, Huang Y, Ding K

“…Key features were selected using minimum redundancy maximum relevance (mRMR), SelectKBest, and least absolute shrinkage and selection operator (LASSO) algorithms. …”
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TEMPORALITY OF THE NARRATIVE OF CONTEMPORARY TRAVEL LITERATURE (Based on Cees Nooteboom’s work) by Olena I. Kretova, Pavlo V. Kretov

“…In the case of travel literature, the temporality of the narrative algorithmizes and structures the reception of reality, which is relevant even for such linguistic constructions that do not directly have markers of temporality, and the ability of such a narrative to configure and reconfigure formats of understanding and meanings of a work of art is emphasized both at the formal and at the content levels. …”
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Biological and prognostic insights into the prostaglandin D2 signaling axis in lung adenocarcinoma by Qiang Liu, Huiguo Chen, Dongfang Tang, Huibiao Zhang, Shaogeng Chen, Yiran Meng, Boying Zheng, Fei Liu, Jing Zhou, Wen Zhang

“…The TCGA‐LUAD datasets was used to estimate and analyze immune cell infiltration levels and tumor hot score using the ESTIMATE and ssGSEA algorithms. Additionally, survival analysis was conducted on genes within relative signaling axis. …”
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Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity by Hope A. Townsend, Hope A. Townsend, Kaylee J. Rosenberger, Kaylee J. Rosenberger, Lauren A. Vanderlinden, Lauren A. Vanderlinden, Jun Inamo, Jun Inamo, Fan Zhang, Fan Zhang, Fan Zhang

“…First, we applied and compared the results of three recent algorithms, based on pathways (scGWAS), single-cell disease scores (scDRS), or both (scPagwas), according to accuracy/sensitivity and interpretability. …”
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Deeper insight into speech characteristics of patients at ultra-high risk using classification and explainability models by Deok-Hee Kim-Dufor, Michel Walter, Marie-Odile Krebs, Yannis Haralambous, Philippe Lenca, Christophe Lemey, Christophe Lemey

“…A gradient-boosted decision tree algorithm was tested to evaluate its potential to correctly classify three categories of patients and find relevant linguistic markers at the level of lexical richness, semantic coherence, speech disfluency, and syntactic complexity. …”
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An explainable GeoAI approach for the multimodal analysis of urban human dynamics: a case study for the COVID-19 pandemic in Rio de Janeiro by David Hanny, Dorian Arifi, Steffen Knoblauch, Bernd Resch, Sven Lautenbach, Alexander Zipf, Antonio Augusto de Aragão Rocha

“…We introduce a feature selection algorithm based on Chatterjee’s Xi measure of dependence to identify relevant features on an Área Programática da Saúde (health area) and city-wide level. …”
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Deep neural networks excel in COVID-19 disease severity prediction—a meta-regression analysis by Márton Rakovics, Fanni Adél Meznerics, Péter Fehérvári, Tamás Kói, Dezső Csupor, András Bánvölgyi, Gabriella Anna Rapszky, Marie Anne Engh, Péter Hegyi, Andrea Harnos

“…We identified both the relevant confounding factors of tool performance using the MetaForest algorithm and the best tools—comparing linear, machine learning, and deep learning methods—with mixed-effects meta-regression models. …”
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An Analysis of the Vocational-Educational Problematics for Substantiating Production Specialist Competencies by V. E. Steinberg, L. V. Vakhidova, E. M. Gabitova

“…This education should be conducted by means of systematic identification and assessment of multi-dimensional regional and sectoral needs for trained personnel, projections of results of monitoring on educational programmes and development of means for the acquisition of the relevant skills. The structure and algorithm of multi-dimensional matrix analysis, providing a stageby-stage presentation of problems found in industrial enterprises concerning specified SVE graduate competencies, are described and visually presented. …”
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Sialyltransferase-related genes as predictive factors for therapeutic response and prognosis in cervical cancer by Jia Shao, Can Zhang, Yaonan Tang, Aiqin He, Xiangyan Cheng

“…Cox regression analysis and “glmnet” R package were applied to establish the relevant risk model. “MCPcounter” R package, ESTIMATE algorithm and TIMER online tools were used to depict the tumor immune microenvironment in CC. …”
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Quantitatively defined stromal B cell aggregates are associated with response to checkpoint inhibitors in unresectable melanoma by James W. Smithy, Xiyu Peng, Fiona D. Ehrich, Andrea P. Moy, Mohammad Yosofvand, Colleen Maher, Nathaniel Aleynick, Rami Vanguri, Mingqiang Zhuang, Jasme Lee, MaryLena Bleile, Yanyun Li, Michael A. Postow, Katherine S. Panageas, Travis J. Hollmann, Margaret K. Callahan, Ronglai Shen

“…The automatic detection of B cell aggregates with DBSCAN, a novel application of a computer-aided machine learning algorithm, demonstrates the potential for enhanced accuracy compared to pathologist assessment of lymphoid aggregates. …”
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L2R-MLP: a multilabel classification scheme for the detection of DNS tunneling by Emmanuel Oluwatobi Asani, Mojiire Oluwaseun Ayoola, Emmanuel Tunbosun Aderemi, Victoria Oluwaseyi Adedayo-Ajayi, Joyce A. Ayoola, Oluwatobi Noah Akande, Jide Kehinde Adeniyi, Oluwambo Tolulope Olowe

“…To address this issue, we propose a Lebesgue-2 regularized multilayer perceptron (L2R-MLP) algorithm for detecting DNS tunneling attacks. The DNS dataset was carefully curated from a publicly available repository, and relevant features, such as packet size and count, were selected using the recusive feature elimination technique. …”
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Machine learning assisted immune profiling of COPD identifies a unique emphysema subtype independent of GOLD stage by Natalie Bordag, Katharina Jandl, Ayu Hutami Syarif, Jürgen Gindlhuber, Diana Schnoegl, Ayse Ceren Mutgan, Vasile Foris, Konrad Hoetzenecker, Panja Maria Boehm, Robab Breyer-Kohansal, Katarina Zeder, Gregor Gorkiewicz, Francesca Polverino, Slaven Crnkovic, Grazyna Kwapiszewska, Leigh Matthew Marsh

“…Our findings suggest that unbiased immune profiling can refine disease classification and reveal inflammation-driven disease subtypes with potential relevance for prognosis and treatment strategies.…”
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Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning by Bin He, Yan Cheng, Juan Wang, Ya Zhan, YanQun Liu

“…Ion channel-related genes were extracted from microarray datasets and analyzed for differential expression and functional relevance to AF pathology. Machine learning algorithms (LASSO and SVM) were used to identify signature genes from ion channels in AF, followed by drug-enrichment analysis to explore potential therapeutic options.ResultsIn the structural remodeling investigation, single-cell analysis was employed to identify five distinct cell subtypes, including embryonic fibroblasts (EF), actively proliferating fibroblasts (APF), smooth muscle cells (SMC), endothelial cells (EC), and leukocytes (LBCs). …”
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Endovascular Therapy in Patients With Acute Ischemic Stroke With Large Infarct: A Guideline From the Society of Vascular and Interventional Neurology by Maxim Mokin, Tudor G. Jovin, Sunil A. Sheth, Thanh N. Nguyen, Kaiz S. Asif, Ameer E. Hassan, Ashutosh P. Jadhav, Cynthia Kenmuir, David S. Liebeskind, Ossama Mansour, Raul G. Nogueira, Robin Novakovic, Santiago Ortega‐Gutierrez, Albert J. Yoo, Waldo R. Guerrero, Amer M. Malik

“…Recommendations were assigned using the Guidelines and Practice Standards Class of Recommendation/Level of Evidence algorithm and guideline format. The recommendations were developed through a consensus process involving an expert panel of vascular neurologists, neurointensivists, and neurointerventionalists. …”
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A Speed-Invariant Template-Based Approach for Estimating Running Temporal Parameters Using Inertial Sensors by Rachele Rossanigo, Marco Caruso, Elena Dipalma, Cristine Agresta, Lucia Ventura, Franca Deriu, Andrea Manca, Taian M. Vieira, Valentina Camomilla, Andrea Cereatti

“…The proposed method applied, for the first time, a template-matching algorithm based on dynamic time warping to running analysis and compared it to existing methods. …”
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A differential diagnostic model based on immunological evaluation and routine laboratory tests: distinguishing multiple myeloma from other disorders with aberrant immunoglobulin el... by Manning Li, Sixun Jia, Han Wu, Chunyi Shou, Xiaolu Song, Ye Peng, Huafang Wang, Ying Wang, Xiangmin Tong, Yirui Chen

“…The cohort was randomly divided into a 70% training set and a 30% validation set. Relevant variables were selected through univariate and multivariate analyses in the training set. …”
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Exploration of metastasis-related signatures in osteosarcoma based on tumor microenvironment by integrated bioinformatic analysis by Shiyao Liao, Xing Gao, Kai Zhou, Yao Kang, Lichen Ji, Xugang Zhong, Jun Lv

“…Methods: The high-throughput sequencing data was downloaded from the TARGET database and performed the ESTIMATE algorithm. Metastasis-related information was obtained from the GSE21257 dataset. …”
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Multimodal ultrasound radiomics containing microflow images for the prediction of central lymph node metastasis in papillary thyroid carcinoma by Jiangyuan Ben, Jiangyuan Ben, Qiying Yv, Pengfei Zhu, Junhao Ren, Pu Zhou, Guifang Chen, Ying He, Ying He

“…From the clinical features, including gender, age, traditional ultrasound signs and serological indicators, 2 relevant features were selected. Among the prediction models, the fusion model constructed by Multilayer Perceptron (MLP) algorithm showed the best diagnostic performance, outperforming the other models in both the training cohort (AUC = 0.886) and the testing cohort (AUC = 0.873).ConclusionsThe fusion model based on clinical data and multimodal ultrasound radiomics has better predictive ability and net clinical benefit for CLNM in patients with PTC, confirms the diagnostic value of microflow images for CLNM, and can help to evaluate patients’ preoperative lymph node status and make the correct decision on the surgical procedure.…”
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TOM40 as a prognostic oncogene for oral squamous cell carcinoma prognosis by Lifei Deng, Hong Ran, Dunhui Yang, Zhen Wang, Peng Zhao, Hengjie Huang, Yongjin Wu, Peng Zhang

“…The immune infiltration pattern in OSCC was analyzed in the TCGA-OSCC cohort using the CIBERSORT algorithm. Clinically significant factors of OSCC were screened through the expression levels of TOM40 and a clinically relevant nomogram was constructed. …”
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SABO-ELM model for remaining life prediction of lithium-ion batteries under multiple health factors by Jiabo LI, Zhonglin SUN, Di TIAN, Zhixuan WANG

“…This statistical analysis method identifies the most relevant and informative HFs, eliminating weakly correlated ones to reduce model complexity and improve performance. …”
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