Pengembangan Auto-AI Model Generatif Analisis Kompleksitas Waktu Algoritma Untuk Data Multi-Sensor IoT Pada Node-RED Menggunakan Extreme Learning Machine by Imam Cholissodin, Dahnial Syauqy, Dwi Ady Firmanda, Ibrahim Aji, Edy Rahman, Syazwandy Harahap, Fernando Septino

“…The steps in the study are utilized to create a generative model based on the Extreme Learning Machine (ELM) algorithm according to the recording of computational time values on several tests to automate the determination of time complexity equation model of the algorithm in general including the search of best cases, worst cases, and average cases for non-recursive, and base cases and recurrent cases for recursive, as well as algorithms that contain both. …”
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Structure-Function Relationship between Cluster Mean Defect and Sector Peripapillary Retinal Nerve Fiber Layer Thickness in Primary Open Angle Glaucoma by Jing Han, Wenjiu Yang, Dabo Wang, Haiqing Bai

“…To determine the structure–function relationship between cluster mean defect (MD) offered by standard automated perimetry and corresponding sector peripapillary retinal nerve fiber layer thickness (pRNFLT) measured with optical coherence tomography (OCT) in primary open angle glaucoma (POAG). …”
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Comparison of Influence of Office and 24‐h Central Aortic Blood Pressure on Target Organ Damage in Hypertension by Yueliang Hu, Hui Yang, Guili Chang, Yaya Bai, Alberto Avolio, Qian Wang, Shenshen Gao, Junli Zuo

“…Twenty‐four hour central aortic BP was measured by means of a noninvasive automated oscillometric device (Mobil‐O‐Graph). Office BP was measured with a validated oscillometric Omron device after a 5‐min rest in a sitting position. …”
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Changes in alcohol consumption among Belgian adults participating in the internet-based one-month-abstinence campaign ‘Tournée Minérale’ by Annelies Thienpondt, Jelle Van Cauwenberg, Joris Van Damme, Gera E. Nagelhout, Benedicte Deforche

“…Methods TMC is a fully automated mass media prevention campaign challenging Belgian adults to refrain from alcohol during the month February. …”
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Development and Validation of a Cost-Effective Machine Learning Model for Screening Potential Rheumatoid Arthritis in Primary Healthcare Clinics by Wu W, Hu X, Yan L, Li Z, Li B, Chen X, Lin Z, Zeng H, Li C, Mo Y, Wu Y, Wang Q

“…In an external test on two primary healthcare datasets with these features, RF demonstrated an accuracy of 88.435% (95% CI 85.55% to 91.32%), sensitivity of 98.55% (95% CI 97.47% to 99.63%), specificity of 85.56% (95% CI 82.39% to 88.73%), and an AUC of 92.055% (95% CI 89.62% to 94.49%).Conclusion: The screening model excels in automating prompt identification of RA in primary healthcare, improving the early detection of RA, and reducing delays and associated costs. …”
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Innovación en sueño by Laura Vigil, Toni Zapata, Andrea Grau, Marta Bonet, Montserrat Montaña, María Piñar

“…However, the integration of artificial intelligence (AI) in sleep medicine has made it possible to automate the analysis of sleep phases and respiratory events with high accuracy.Machine learning algorithms and neural networks have proven to be effective in automatic sleep coding, with hit rates comparable to those of human experts. …”
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Effective gene therapy for metachromatic leukodystrophy achieved with minimal lentiviral genomic integrations by Lucas Tricoli, Sunetra Sase, Julia L. Hacker, Vi Pham, Maxwell Chappell, Laura Breda, Stephanie N. Hurwitz, Naoto Tanaka, Carlo Castruccio Castracani, Amaliris Guerra, Zhongqi Hou, Lars Schlotawa, Karthikeyan Radhakrishnan, Matthew Hogenauer, Aoife Roche, John Everett, Frederic Bushman, Peter Kurre, Rebecca Ahrens-Nicklas, Laura A. Adang, Adeline L. Vanderver, Stefano Rivella

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