Identifikasi Gagal Ginjal Kronis dengan Mengimplementasikan Metode Support Vector Machine beserta K-Nearest Neighbour (SVM-KNN) by Alvin Tarisa Akbar, Novanto Yudistira, Achmad Ridok

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Postoperative Outcomes After Robotic Liver Resection of Caudate Lobe: A Systematic Review by Gabriela Del Angel Millan, Gianluca Cassese, Fabio Giannone, Celeste Del Basso, Mariantonietta Alagia, Marco Lodin, Igor Monsellato, Marco Palucci, Federico Sangiuolo, Fabrizio Panaro

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A novel way to use cross-validation to measure connectivity by machine learning allows epilepsy surgery outcome prediction by Karla Ivankovic, Alessandro Principe, Justo Montoya-Gálvez, Linus Manubens-Gil, Riccardo Zucca, Pablo Villoslada, Mara Dierssen, Rodrigo Rocamora

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Modeling regional aboveground carbon stock dynamics affected by land use and land cover changes by A.D. Malik, M.C.W. Arief, S. Withaningsih, P. Parikesit

“…Land use and land cover changes were assessed from remotely sensed imagery data recorded in 2009 and 2021 using the maximum likelihood classification method in the geographic information as a collection of layers and other elements in a map 10.6 package. …”
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Personalized neuron-specific enolase level based on EEG pattern for prediction of poor outcome after cardiac arrest by Juliette Pelle, Estelle Pruvost-Robieux, Florence Dumas, Antonin Ginguay, Julien Charpentier, Clara Vigneron, Frédéric Pène, Jean Paul Mira, Alain Cariou, Sarah Benghanem

“…EEG patterns were classified according to the Westhall classification (benign, malignant or highly malignant). …”
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Infection‐Related Hospitalization and Incident Heart Failure: The Atherosclerosis Risk in Communities Study by Rebecca L. Molinsky, Amil Shah, Melana Yuzefpolskaya, Bing Yu, Jeffrey R. Misialek, Bruno Bohn, David Vock, Richard MacLehose, Barry A. Borlaug, Paolo C. Colombo, Chiadi E. Ndumele, Junichi Ishigami, Kunihiro Matsushita, Pamela L. Lutsey, Ryan T. Demmer

“…Median follow‐up time was 27 years, 55% were women, 26% were Black, mean age at baseline was 54±6 years, 46% had an IRH, and 3565 had incident HF. …”
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Vegetation disturbance and regrowth dynamics in shifting cultivation landscapes by Yamini Bhat, Subrata Nandy, Krishna Das, Muna Tamang, Hitendra Padalia, Arun Jyoti Nath, Koushik Majumdar, Rocky Pebam, Pynkhlainbor Thongni, Bandana Kurmi, Ashesh Kumar Das, S. P.S. Kushwaha, R. P. Singh

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Diversity in the medical research ecosystem: a descriptive scientometric analysis of over 49 000 studies and 150 000 authors published in high-impact medical journals between 2007... by Leo Anthony Celi, Jonathan Shaffer, Marie-Laure Charpignon, Liam G McCoy, Luis Filipe Nakayama, Jack Gallifant, Urvish Jain, Joao Matos, Pia Gabrielle I Alfonso, Marisa Cobanaj, Amelia Morel Fiske, Alexander J Gates, Frances Dominique V Ho, Mohammad Kashkooli, Naira Link

“…The World Bank country classification was used to map countries associated with researcher affiliations to the LMIC or the high-income country (HIC) category. …”
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The Importance of Dose Escalation in the Treatment of Pulmonary Arterial Hypertension with Treprostinil by Piotr Kędzierski, Marta Banaszkiewicz, Michał Florczyk, Michał Piłka, Rafał Mańczak, Maria Wieteska-Miłek, Piotr Szwed, Krzysztof Kasperowicz, Katarzyna Wrona, Szymon Darocha, Adam Torbicki, Marcin Kurzyna

“…The treatment efficacy was assessed as improvement in 6 min walk distance (6MWD) and WHO functional class (WHO FC), a reduction in N-terminal prohormone of brain natriuretic peptide (NTproBNP), and the percentage of patients achieving low-risk status after 12 months of treatment. …”
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Explaining the effective variables in measuring intellectual capital and providing the optimal model by hatef mollazadeh jebdreghi, mahdi zeinali, ali akbar nonahal, ahmad mohamadi

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Difference of clinical characteristics in patients with reinfection and primary infection variants of SARS-CoV-2: a retrospective study in China by Chao-Chao Qiu, Xiao-Qing Lin, Qiang Zhang, Ya-Long Chen, Xiao-Qiao Su, Ming-Ying Zhang, Le-Fei Zhu, Zhi-Ruo Lin, Fang Cheng, Shang-Ren Xie, Ji-Chan Shi, Xian-Gao Jiang

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Effectiveness of a pharmacist-led tele-psychiatric clinic in managing drug-related problems by Majed Al Shakhori, Savera Arain, Suhaj Abdulsalim, Mohammed Salim Karattuthodi, Marwa Al Dhamen, Shoruq Almutairi, Shabeer Ali Thorakkattil, Dina Alahmdi, Vijayanarayana Kunhikatta, Abdul Sammad AlJishi

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Deep R-gene discovery in HLB resistant wild Australian limes uncovers evolutionary features and potentially important loci for hybrid breeding by Jianyang Liu, Khushwant Singh, Matthew Huff, Christopher Gottschalk, Michael Do, Margaret Staton, Manjunath L. Keremane, Robert Krueger, Chandrika Ramadugu, Chris Dardick

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Dietary quality and adherence to dietary recommendations in Chinese patients with chronic kidney disease by Wenwei Ouyang, Wenwei Ouyang, Bingjie Xiao, Huifen Chen, Lizhe Fu, Fang Tang, Gaetano Marrone, Xusheng Liu, Yifan Wu, Yifan Wu, Juan Jesús Carrero

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Predicting Treatment Outcomes in Patients with Low Back Pain Using Gene Signature-Based Machine Learning Models by Youzhi Lian, Yinyu Shi, Haibin Shang, Hongsheng Zhan

“…From these genes, 45 machine learning models were constructed using different combinations of feature selection methods and classification algorithms. The Elastic Net with Logistic Regression achieved the highest accuracy of 88.7% ± 8.0% (mean ± standard deviation), followed closely by Elastic Net with Linear Discriminant Analysis (88.7% ± 7.5%) and Lasso with Multilayer Perceptron (87.7% ± 6.7%). …”
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Sequence-structure based prediction of pathogenicity for amino acid substitutions in proteins associated with primary immunodeficiencies by Ekaterina S. Porfireva, Anton D. Zadorozhny, Anastasia V. Rudik, Dmitry A. Filimonov, Alexey A. Lagunin, Alexey A. Lagunin

“…In this study, we have developed classification sequence-structure-property relationships (SSPR) models for predicting the pathogenicity of amino acid substitutions (AAS) in 25 proteins associated with the most important and genetically studied PIDs and encoded genes: IL2RG, JAK3, RAG1, RAG2, ADA, DCLRE1C, CD40LG, WAS, ATM, STAT3, KMT2D, BTK, FOXP3, AIRE, FAS, ELANE, ITGB2, CYBB, G6PD, GATA2, STAT1, IFIH1, NLRP3, MEFV, and SERPING1.MethodsThe data on 4825 pathogenic and benign AASs in the selected proteins were extracted from ClinVar and gnomAD. …”
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Establishment and validation of predictive model of ARDS in critically ill patients by Senhao Wei, Hua Zhang, Hao Li, Chao Li, Ziyuan Shen, Yiyuan Yin, Zhukai Cong, Zhaojin Zeng, Qinggang Ge, Dongfeng Li, Xi Zhu

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MGScoliosis: Multi-grained scoliosis detection with joint ordinal regression from natural image by Xiaojia Zhu, Rui Chen, Zhiwen Shao, Ming Zhang, Yuhu Dai, Wenzhi Zhang, Chuandong Lang

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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

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Global trends and research frontiers on machine learning in sustainable animal production in times of climate change: Bibliometric analysis aimed at insights and orientations for t... by Robson Mateus Freitas Silveira, Concepta Mcmanus, Iran José Oliveira da Siva

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