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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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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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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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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Co-Optimization of Operational and Intelligent Completion Parameters of CO₂ Water-Alternating-Gas Injection Processes in Carbonate Reservoirs by Xili Deng, Jingxuan Wang, Xiangguo Zhao, Liangyu Rao, Yongbin Zhao, Xiaofei Sun

“…Finally, the imperialist competitive algorithm is used to co-optimize the operational and intelligent completion parameters for MRC wells. …”
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Development of an interpretable model for foot soft tissue stiffness based on gait plantar pressure analysis by Xiaotian Bai, Xiao Hou, Dazhi Lv, Dazhi Lv, Jialin Wei, Jialin Wei, Yiling Song, Zhengyan Tang, Hongfeng Huo, Hongfeng Huo, Jingmin Liu

“…A backpropagation neural network, optimized by integrating particle swarm optimization and genetic algorithm, was constructed to predict foot soft tissue stiffness using plantar pressure data collected during walking. …”
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WINTER HARDINESS OF BREAD WHEAT FROM THE VIR COLLECTION IN ENVIRONMENTS OF THE NORTHWESTERN AND CENTRAL BLACK SOIL REGIONS OF RUSSIA by N. S. Lysenko, V. F. Loseva, O. P. Mitrofanova

“…By using the cluster analysis (k-means algorithm), the target sub-collec­tion structure has been revealed. …”
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Sistem Pakar Penentuan Penggunaan Bahan Tambahan Pangan untuk Produk Pangan by Melva Linda Aritonang, Kudang Boro Seminar, Nugraha Edhi Suyatma, Irman Hermadi

“…The method used is a decision tree with C5.0 algorithm to classify types of food categories with parameters in the form of basic ingredients and ways of processing food products. …”
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Using OCO-2 Observations to Constrain Regional CO₂ Fluxes Estimated with the Vegetation, Photosynthesis and Respiration Model by Igor B. Konovalov, Nikolai A. Golovushkin, Evgeny A. Mareev

“…We developed a regional-scale inverse modeling system that applies a Bayesian variational optimization algorithm to optimize parameters of VPRM coupled to the CHIMERE chemistry transport model and which involves a preliminary transformation of the input XCO₂ data that reduces the impact of the CHIMERE boundary conditions on inversion results. …”
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Implementasi Algoritma Genetika dalam optimasi Performa Truk Sampah Menggunakan Aplikasi Trash Queen by Arief Kelik Nugroho, Muhammad Naufal Faza

“…Trash Queen utilizes genetic algorithm to run simulations repeatedly until an optimal solution is obtained. …”
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Probabilistic nested model selection in pharmacokinetic analysis of DCE-MRI data in animal model of cerebral tumor by Hassan Bagher-Ebadian, Stephen L. Brown, Mohammad M. Ghassemi, Prabhu C. Acharya, Indrin J. Chetty, Benjamin Movsas, James R. Ewing, Kundan Thind

“…Approximately two hundred thirty thousand (229,314) normalized ΔR1 profiles of animals’ brain voxels along with their NMS results were used to build a K-SOM (topology-size: 8 × 8, with competitive-learning algorithm) and probability map of each model. K-fold nested-cross-validation (NCV, k = 10) was used to evaluate the performance of the K-SOM probabilistic-NMS (PNMS) technique against the NMS technique. …”
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Pengenalan Aktivitas Manusia Menggunakan Sensor Akselerometer dan Giroskop pada Smatphone dengan Metode K-Nearest Neighbor by Zainal Arifien, Fitra Abdurrahman Bachtiar, Novanto Yudistira

“…The data then processed and classified using the k-Nearest Neighbor (k-NN) algorithm. The accuracy results obtained in this study reaches 79.56%. …”
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Bioinformatics analysis of ferroptosis-related hub genes and immunoinfiltration in myocardial ischemia/reperfusion following heart transplantation by Yuxi Zhang, Qiao Tang, Jiahui Cui, Yanan Li, Heng Xu, Zhen Qiu, Shaoqing Lei, Rui Xue, Qian Sun, Zhongyuan Xia

“…Three hub genes (SLC7A11, PSAT1, ASNS) were obtained by the degree algorithm of cytohubba plug-in. Immunoinfiltration analysis showed that 16 of 22 immune cells changed, and the immune score of heart transplantation with I/R was higher than that without I/R. …”
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Development of a machine learning-based prediction model for extremely rapid decline in estimated glomerular filtration rate in patients with chronic kidney disease: a retrospectiv... by Shingo Fukuma, Yukio Yuzawa, Daijo Inaguma, Hiroki Hayashi, Ryosuke Yanagiya, Akira Koseki, Toshiya Iwamori, Michiharu Kudo

“…For each group, we developed prediction models that classified the steepest eGFR decline, defined as extremely rapid eGFR decline compared with others in the same group, where we used the random forest algorithm with clinical parameters.Results Our clustering model first identified three high-level groups according to the baseline eGFR (G1, high GFR, 99.7±19.0; G2, intermediate GFR, 62.9±10.3 and G3, low GFR, 43.7±7.8); our model simultaneously found three eGFR trajectory clusters for each group, resulting in nine clusters with different slopes of eGFR decline. …”
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Klasifikasi Kinerja Akademik Siswa Menggunakan Neighbor Weighted K-Nearest Neighbor dengan Seleksi Fitur Information Gain by Rizky Adinda Azizah, Fitra Bachtiar, Sigit Adinugroho

“…Neighbor Weighted K-Nearest Neighbor algorithm with Information Gain method will be applied to this study to help predict student performance. …”
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Implementasi Algoritma Fuzzi Mamdani pada Sistem Pakar Menggunakan Software Aplikasi Matlab R2007B, Studi Kasus: Tanaman Hidroponik Selada Air by Okta Purnawirawan, Tri Afirianto

“…Expert system work process by applying the fuzzy mamdani algorithm. The expert system was built using the functions of the Fuzzy Inference System (FIS) contained in the Fuzzy Logic Toolbox (FLT) in the MATLAB R2007b application software. …”
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Deep learning reconstruction of zero-echo time sequences to improve visualization of osseous structures and associated pathologies in MRI of cervical spine by Malwina Kaniewska, Fabio Zecca, Carina Obermüller, Falko Ensle, Eva Deininger-Czermak, Maelene Lohezic, Roman Guggenberger

“…ZTE-DL sequences were reconstructed from raw data using the AirReconDL algorithm. Three blinded readers independently evaluated image quality, artifacts, and bone delineation on a 5-point Likert scale. …”
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Glaucoma laser treatments: modern approaches and practice guidelines by M.H. Rabadanova, Zh.G. Oganezova, E.A. Egorov, D.V. Katz, V.V. Novoderezhkin

“…Also, the article focuses on pre- and postoperative management of patients and presents an algorithm for the management of patients with different glaucoma forms referred to the laser treatment. …”
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Comparative Evaluation of AI-Based Multi-Spectral Imaging and PCR-Based Assays for Early Detection of <i>Botrytis cinerea</i> Infection on Pepper Plants by Dimitrios Kapetas, Eleni Kalogeropoulou, Panagiotis Christakakis, Christos Klaridopoulos, Eleftheria Maria Pechlivani

“…This study employs the Deep Learning algorithm YOLO for single-class segmentation on plant images to extract spatial details of pepper leaves. …”
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