Search Results - "machines"

Virtually Possible: Enhancing Quality Control of 3D-Printed Medicines with Machine Vision Trained on Photorealistic Images by Siyuan Sun, Manal E. Alkahtani, Simon Gaisford, Abdul W. Basit, Moe Elbadawi, Mine Orlu

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Taurine as Antioxidant in a Novel Cell- and Oxygen Carrier-Free Perfusate for Normothermic Machine Perfusion of Porcine Kidneys by Laura Zarnitz, Benedict M. Doorschodt, Lisa Ernst, Aisa Hosseinnejad, Eileen Edgworth, Tamara Fechter, Alexander Theißen, Sonja Djudjaj, Peter Boor, Rolf Rossaint, René H. Tolba, Christian Bleilevens

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Identification of osteoarthritis-characteristic genes and immunological micro-environment features through bioinformatics and machine learning-based approaches by Zheng Da, Rui Guo, Jianjian Sun, Ai Wang

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A Prediction Model of Autism Spectrum Diagnosis from Well-Baby Electronic Data Using Machine Learning by Ayelet Ben-Sasson, Joshua Guedalia, Liat Nativ, Keren Ilan, Meirav Shaham, Lidia V. Gabis

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Walkability assessment of metro catchment area: A machine learning method based on the fusion of subject-objective perspectives by Peng Zeng, Weixing Xu, Beibei Liu, Yuanyuan Guo, Linfeng Shi, Meng Xing

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Integrated QSAR Models for Prediction of Serotonergic Activity: Machine Learning Unveiling Activity and Selectivity Patterns of Molecular Descriptors by Natalia Łapińska, Adam Pacławski, Jakub Szlęk, Aleksander Mendyk

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Assessing Students' Interpretations of Histograms Before and After Interpreting Dotplots: A Gaze-Based Machine Learning Analysis by Lonneke Boels, Alex Lyford, Arthur Bakker, Paul Drijvers

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Prediction of Online Psychological Help-Seeking Behavior During the COVID-19 Pandemic: An Interpretable Machine Learning Method by Hui Liu, Hui Liu, Hui Liu, Lin Zhang, Lin Zhang, Lin Zhang, Weijun Wang, Weijun Wang, Weijun Wang, Yinghui Huang, Yinghui Huang, Yinghui Huang, Shen Li, Shen Li, Shen Li, Zhihong Ren, Zhihong Ren, Zhihong Ren, Zongkui Zhou, Zongkui Zhou, Zongkui Zhou

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Gauging road safety advances using a hybrid EWM-PROMETHEE II-DBSCAN model with machine learning by Jialin Li, Faan Chen

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Early detection system of risk factors for diabetes mellitus type 2 utilization of machine learning-random forest by Johannes B Ginting, Tri Suci, Chrismis N Ginting, Ermi Girsang

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Can Wearable Devices and Machine Learning Techniques Be Used for Recognizing and Segmenting Modified Physical Performance Test Items? by Yiyuan Zhang, Xiangyu Wang, Pengxuan Han, Sabine Verschueren, Wei Chen, Bart Vanrumste

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Generalizability of machine learning methods in detecting adverse drug events from clinical narratives in electronic medical records by Md Muntasir Zitu, Shijun Zhang, Dwight H. Owen, Chienwei Chiang, Lang Li

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Comparing Open-Access Database and Traditional Intensive Care Studies Using Machine Learning: Bibliometric Analysis Study by Yuhe Ke, Rui Yang, Nan Liu

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Prediction of chromosomal abnormalities in the screening of the first trimester of pregnancy using machine learning methods: a study protocol by Mahla Shaban, Sanaz Mollazadeh, Saeid Eslami, Fatemeh Tara, Samaneh Sharif, Fatemeh Erfanian Arghavanian

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Intermediate Sensory Feedback Assisted Multi-Step Neural Decoding for Reinforcement Learning Based Brain-Machine Interfaces by Xiang Shen, Xiang Zhang, Yifan Huang, Shuhang Chen, Zhuliang Yu, Yiwen Wang

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Predicting the Risk of Sleep Disorders Using a Machine Learning-Based Simple Questionnaire: Development and Validation Study by Seokmin Ha, Su Jung Choi, Sujin Lee, Reinatt Hansel Wijaya, Jee Hyun Kim, Eun Yeon Joo, Jae Kyoung Kim

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Interpretable Machine Learning Model Based on Superb Microvascular Imaging for Non-Invasive Determination of Crescent Status of IgAN by Tang Y, Liu X, Zhou W, Qin X

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Clinical Timing-Sequence Warning Models for Serious Bacterial Infections in Adults Based on Machine Learning: Retrospective Study by Jian Liu, Jia Chen, Yongquan Dong, Yan Lou, Yu Tian, Huiyao Sun, Yuqing Jin, Jingsong Li, Yunqing Qiu

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Machine learning prediction of suicidal ideation, planning, and attempt among Korean adults: A population-based study by Jeongyoon Lee, Tae-Young Pak

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Identification of high‐dimensional omics‐derived predictors for tumor growth dynamics using machine learning and pharmacometric modeling by Laura B. Zwep, Kevin L. W. Duisters, Martijn Jansen, Tingjie Guo, Jacqueline J. Meulman, Parth J. Upadhyay, J. G. Coen vanHasselt

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