Identification of Anoikis-Related Genes in Chronic Kidney Disease Based on Bioinformatics Analysis Combined with Experimental Validation by Liu H, Mei M, Zhong H, Lin S, Luo J, Huang S, Zhou J

“…Ultimately, we applied the CIBERSORTx algorithm to conduct immune infiltration analysis, classifying immune characteristics based on the abundance of 22 immune cell types.Results: To summarize, we identified 13 ARDEGs. …”
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Comprehensive Sepsis Risk Prediction in Leukemia Using a Random Forest Model and Restricted Cubic Spline Analysis by Kou Y, Tian Y, Ha Y, Wang S, Sun X, Lv S, Luo B, Yang Y, Qin L

“…Feature selection was performed using univariate logistic regression, LASSO, and the Boruta algorithm, followed by multivariate logistic regression analysis. …”
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Accurate estimation of Jujube leaf chlorophyll content using optimized spectral indices and machine learning methods integrating geospatial information by Nigela Tuerxun, Sulei Naibi, Jianghua Zheng, Renjun Wang, Lei Wang, Binbin Lu, Danlin Yu

“…To test this hypothesis, a framework was developed that first uses elastic net (EN) and the successive projection algorithm (SPA) for wavelength selection, followed by spectral index creation with OBC and ranking with random forest (RF). …”
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Differences in Characteristics of Peripartum Patients Who Did and Did Not Require an Upgrade to the Intensive Care Unit: A Propensity Score Matching Study by Jennifer A. Walker, Jerry M. Yang, Saad Pirzada, Manahel Zahid, Samantha Asuncion, Amanda Tuchler, Gillian Cooper, Allison Lankford, Emad Elsamadicy, Quincy K. Tran

“…The Classification And Regression Tree, a machine learning algorithm, was used to identify significant predictors of ICU upgrade. …”
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Segmentation of Laser Marks of Diabetic Retinopathy in the Fundus Photographs Using Lightweight U-Net by Yukang Jiang, Jianying Pan, Ming Yuan, Yanhe Shen, Jin Zhu, Yishen Wang, Yewei Li, Ke Zhang, Qingyun Yu, Huirui Xie, Huiting Li, Xueqin Wang, Yan Luo

“…In this study, we develop a deep learning algorithm based on the lightweight U-Net to segment laser marks from the color fundus photos, which could help indicate a stage or providing valuable auxiliary information for the care of DR patients. …”
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A Hybrid Dynamic Principal Component Analysis Feature Extraction Method to Identify Piston Pin Wear for Binary Classifier Modeling by Hao Yang, Yubin Zhai, Mengkun Zheng, Tan Wang, Dongliang Guo, Jianhui Liang, Xincheng Li, Xianliang Liu, Mingtao Jia, Rui Zhang

“…Aiming at the feature extraction requirements of anti-noise, accuracy and effectiveness, this paper proposes a piston pin wear feature extraction algorithm based on dynamic principal component analysis (DPCA) combined with variational mode decomposition (VMD) and singular value decomposition (SVD). …”
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Analisis Kinerja Intrusion Detection System Berbasis Algoritma Random Forest Menggunakan Dataset Unbalanced Honeynet BSSN by Kuni Inayah, Kalamullah Ramli

“…In this research, we propose an IDS design based on a random forest algorithm with the CIC-ToN-IoT dataset as a whitelist dataset and the Honeynet BSSN dataset as a blacklist dataset. …”
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A dynamic knee function scoring system for anterior cruciate ligament injuries based on normative six-degree-of-freedom gait pattern by Junqiao Li, Yunhe Mao, Tian Lan, Liang Huangfu, Yan Xiong, Jian Li

“…Based on the large sample dataset, a novel 6-DOF scoring system was developed using the dynamic time warping algorithm. To further validate the scoring system, an additional 83 patients with ACL injuries were included, and their preoperative dynamic knee kinematics assessment and patient-reported outcome measurements (PROMs) were recorded. …”
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Breastfeeding and Neonatal Age Influence Neutrophil-Driven Ontogeny of Blood Cell Populations in the First Week of Human Life by Sebastiano Montante, Rym Ben-Othman, Nelly Amenyogbe, Asimenia Angelidou, Anita van den Biggelaar, Bing Cai, Yixuan Chen, Alansana Darboe, Joann Diray-Arce, Rebecca Ford, Olubukola Idoko, Amy Lee, Mandy Lo, Kerry McEnaney, Mehrnoush Malek, David Martino, Geraldine Masiria, Oludare A. Odumade, William Pomat, Casey Shannon, Kinga Smolen, The EPIC Consortium, Al Ozonoff, Peter Richmond, Scott Tebbutt, Ofer Levy, Beate Kampmann, Ryan Brinkman, Tobias Kollmann

“…The subsequent analysis was conducted at an unprecedented level of detail using flow cytometry and an unbiased automated gating algorithm. The results showed that WBC composition in peripheral blood changes along patterns highly conserved across populations and environments. …”
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Clinical burden of obstructive hypertrophic cardiomyopathy in France by Philippe Charron, Carla Zema, François-Emery Cotté, Eléonore Herquelot, Taryn Krause, Florent Daydé, Jean-Noël Trochu

“…NYHA class was assigned using an algorithm based on treatment and symptom codes. Treatment patterns and clinical outcomes by NYHA class over time were examined.ResultsOverall, 6,823 patients with obstructive HCM were included (54.7% male, mean [standard deviation (SD)] age 66.2 [16.7] years). …”
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Enhancing aboveground biomass estimation in Moso bamboo forests: the role of on-year and off-year phenomena in remote sensing by Nan Li, Nan Li, Nan Li, Mengyi Hu, Jingyi Xie, Linjia Wei, Tianzhen Wu, Wei Zhang, Wei Zhang, Wei Zhang, Shuangxi Gu, Shuangxi Gu, Shuangxi Gu, Longwei Li, Longwei Li, Longwei Li, Longwei Li

“…In this study, Sentinel-2 remote sensing imagery and plot survey data were selected, a novel change detection algorithm to assess plot level AGB dynamics between 2018 and 2019 was developed, a hierarchical classifier was proposed to map the spatial distributions of on-year and off-year MBFs, and a time series model was developed for estimating the AGB of MBFs to characterize AGB dynamics between November and December. …”
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Diagnosis and Treatment of Peptic Ulcer in Adults (Clinical Guidelines of the Russian Gastroenterological Association, Russian Society of Colorectal Surgeons and the Russian Endosc... by V. T. Ivashkin, I. V. Maev, P. V. Tsar’kov, M. P. Korolev, D. N. Andreev, E. K. Baranskaya, S. G. Burkov, A. A. Derinov, S. K. Efetov, T. L. Lapina, P. V. Pavlov, S. S. Pirogov, A. V. Tkachev, A. S. Trukhmanov, E. D. Fedorov, A. A. Sheptulin

“…Clinical recommendations contain criteria for assessing the quality of medical care, an algorithm of the doctor’s actions, as well as information for patients.Conclusions. …”
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Immune regulatory genes impact the hot/cold tumor microenvironment, affecting cancer treatment and patient outcomes by Mengmeng Sang, Jia Ge, Juan Ge, Juan Ge, Gu Tang, Qiwen Wang, Jiarun Wu, Liming Mao, Liming Mao, Xiaoling Ding, Xiaorong Zhou

“…Nevertheless, as yet there is no consensus regarding the clinically relevant definition of hot/cold tumors, and the influence of immune genes on the formation of hot/cold tumors remains poorly understood.MethodsData for 33 different types of cancer were obtained from The Cancer Genome Atlas database, and their immune composition was assessed using the CIBERSORT algorithm. Tumors were categorized as either hot or cold based on their distinct immune composition, ongoing immune response, and overall survival. …”
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Development and Validation of a Machine Learning Model for the Prediction of Bloodstream Infections in Patients with Hematological Malignancies and Febrile Neutropenia by Antonio Gallardo-Pizarro, Christian Teijón-Lumbreras, Patricia Monzo-Gallo, Tommaso Francesco Aiello, Mariana Chumbita, Olivier Peyrony, Emmanuelle Gras, Cristina Pitart, Josep Mensa, Jordi Esteve, Alex Soriano, Carolina Garcia-Vidal

“…<b>Methods:</b> From January 2020 to June 2022, we used the unsupervised ML algorithm KAMILA to analyze data from hospitalized hematological malignancy patients. …”
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Estimated inpatient malnutrition prevalence, screening tool utilization, and dietitian referral rates across hospitals during extension of phase 2 of More-2-Eat by Yingying Xu, Rachel A. Warren, Shirley M. Peters, Sonya Boudreau, Tina N. Strickland, Mari Somerville, Brenda L. MacDonald, Heather Keller, Leah E. Cahill

“…The Integrated Nutrition Pathway for Acute Care (INPAC) is a validated multi-step algorithm that includes screening using the Canadian Nutrition Screening Tool (CNST) and diagnosis using Subjective Global Assessment (SGA). …”
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Automatic segmentation model and machine learning model grounded in ultrasound radiomics for distinguishing between low malignant risk and intermediate-high malignant risk of adnex... by Lu Liu, Wenjun Cai, Feibo Zheng, Hongyan Tian, Yanping Li, Ting Wang, Xiaonan Chen, Wenjing Zhu

“…The nomogram using the LightGBM algorithm reached the best AUC (0.966, 95% CI: 0.927–1.000). …”
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Soft Tissue/Bone Decomposition of Conventional Chest Radiographs Using Nonparametric Image Priors by Yunbi Liu, Wei Yang, Guangnan She, Liming Zhong, Zhaoqiang Yun, Yang Chen, Ni Zhang, Liwei Hao, Zhentai Lu, Qianjin Feng, Wufan Chen

“…The corresponding fields between the observed chest radiograph and the exemplars are solved by a hierarchically dense matching algorithm. Then, nonparametric priors of soft tissue and bone components are constructed by sampling image patches from the selected soft tissue and bone images according to the corresponding fields. …”
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The dual anti-inflammatory and anticoagulant effects of Jianpi Huashi Tongluo prescription on Rheumatoid Arthritis through inhibiting the activation of the PI3K/AKT signaling pathw... by Fanfan Wang, Fanfan Wang, Jian Liu

“…Firstly, through retrospective clinical data mining, combined with the Apriori algorithm and random walk models, an in-depth analysis was conducted to explore the potential associations between XFC treatment and improvements in clinical inflammatory and coagulation markers among RA patients. …”
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Telomerase inhibiting phytochemicals derived from Blumea eriantha for cancer treatment: A comprehensive computational analysis by Rahil Ummar Faruk Abbu, Shaik Mohammad Abdul Fayaz, Divyashree M S, Raghu Chandrashekhar H, Prasanna Kumar Reddy Gayam, Archana Mahadev Rao

“…The study further went on to identify synergistic treatment combinations using the Handy Recommendation Algorithm for Cancer Synergy (HRACS), where certain pairs of phytochemicals demonstrated enhanced anti-cancer efficacy against telomerase protein in A549 and MCF-7 cancer cell lines, suggesting that combinatorial therapy techniques may have potential. …”
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Delta-radiomics analysis based on magnetic resonance imaging to identify radiation proctitis in patients with cervical cancer after radiotherapy by Jing Xue, Menghan Wu, Jing Zhang, Jiayang Yang, Guannan Lv, Baojun Qu, Yanping Zhang, Xia Yan, Xia Yan, Jianbo Song, Jianbo Song

“…Logistic regression (LR), Pearson correlation coefficient, and least absolute shrinkage and selection operator (LASSO) methods were utilized to select optimal imaging features, leading to a combined prediction model developed using a random forest (RF) algorithm. Model performance was assessed using the area under the curve (AUC), DeLong test, calibration curve, and decision curve analysis (DCA), with Shapley Additive exPlanations (SHAP) values for interpretation.ResultsThe samples were split into training (70%) and validation (30%) sets. …”
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