Search Results - "Machine Learning"

Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation by Vaid, Akhil, Somani, Sulaiman, Russak, Adam J, De Freitas, Jessica K, Chaudhry, Fayzan F, Paranjpe, Ishan, Johnson, Kipp W, Lee, Samuel J, Miotto, Riccardo, Richter, Felix, Zhao, Shan, Beckmann, Noam D, Naik, Nidhi, Kia, Arash, Timsina, Prem, Lala, Anuradha, Paranjpe, Manish, Golden, Eddye, Danieletto, Matteo, Singh, Manbir, Meyer, Dara, O'Reilly, Paul F, Huckins, Laura, Kovatch, Patricia, Finkelstein, Joseph, Freeman, Robert M., Argulian, Edgar, Kasarskis, Andrew, Percha, Bethany, Aberg, Judith A, Bagiella, Emilia, Horowitz, Carol R, Murphy, Barbara, Nestler, Eric J, Schadt, Eric E, Cho, Judy H, Cordon-Cardo, Carlos, Fuster, Valentin, Charney, Dennis S, Reich, David L, Bottinger, Erwin P, Levin, Matthew A, Narula, Jagat, Fayad, Zahi A, Just, Allan C, Charney, Alexander W, Nadkarni, Girish N, Glicksberg, Benjamin S

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Machine learning in 3D auto-filling alveolar cleft of CT images to assess the influence of alveolar bone grafting on the development of maxilla by Xin Zhang, Niu Qin, Zhibo Zhou, Si Chen

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Revealing key structural features for developing new agonists targeting δ opioid receptor: Combined machine learning and molecular modeling perspective by Zeynab Fakhar, Ali Hosseinpouran, Orde Q. Munro, Sorena Sarmadi, Sajjad Gharaghani

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Basal gonadotropin levels combine with pelvic ultrasound and pituitary volume: a machine learning diagnostic model of idiopathic central precocious puberty by Tao Chen, Danbin Zhang

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Applying machine learning algorithms to develop a survival prediction model for lung adenocarcinoma based on genes related to fatty acid metabolism by Dan Cong, Yanan Zhao, Wenlong Zhang, Jun Li, Yuansong Bai

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Application of Multi-Inflammatory Index to Predict Atrial Fibrillation Risk in Patients with Coronary Heart Disease: A Retrospective Machine Learning Study by Hou L, Su K, Zhao J, He T, Li Y

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Small patient datasets reveal genetic drivers of non-small cell lung cancer subtypes using machine learning for hypothesis generation by Moses Cook, Bessi Qorri, Amruth Baskar, Jalal Ziauddin, Luca Pani, Shashibushan Yenkanchi, Joseph Geraci

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A machine learning approach to identify risk factors for running-related injuries: study protocol for a prospective longitudinal cohort trial by A. L. Rahlf, T. Hoenig, J. Stürznickel, K. Cremans, D. Fohrmann, A. Sanchez-Alvarado, T. Rolvien, K. Hollander

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A multi-step machine learning approach to assess the impact of COVID-19 lockdown on NO2 attributable deaths in Milan and Rome, Italy by Luca Boniardi, Federica Nobile, Massimo Stafoggia, Paola Michelozzi, Carla Ancona

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Remote Patient Monitoring and Machine Learning in Acute Exacerbations of Chronic Obstructive Pulmonary Disease: Dual Systematic Literature Review and Narrative Synthesis by Henry Mark Granger Glyde, Caitlin Morgan, Tom M A Wilkinson, Ian T Nabney, James W Dodd

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Solubility Characteristics of Acetaminophen and Phenacetin in Binary Mixtures of Aqueous Organic Solvents: Experimental and Deep Machine Learning Screening of Green Dissolution Media by Piotr Cysewski, Tomasz Jeliński, Maciej Przybyłek, Wiktor Nowak, Michał Olczak

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Enhancing Performance of the National Field Triage Guidelines Using Machine Learning: Development of a Prehospital Triage Model to Predict Severe Trauma by Qi Chen, Yuchen Qin, Zhichao Jin, Xinxin Zhao, Jia He, Cheng Wu, Bihan Tang

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Identifying dementia from cognitive footprints in hospital records among Chinese older adults: a machine-learning studyResearch in context by Jiayi Zhou, Wenlong Liu, Huiquan Zhou, Kui Kai Lau, Gloria H.Y. Wong, Wai Chi Chan, Qingpeng Zhang, Martin Knapp, Ian C.K. Wong, Hao Luo

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Integrating metabolomic data with machine learning approach for discovery of Q-markers from Jinqi Jiangtang preparation against type 2 diabetes by Lele Yang, Yan Xue, Jinchao Wei, Qi Dai, Peng Li

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Early Detection of Alzheimer’s Disease From Cortical and Hippocampal Local Field Potentials Using an Ensembled Machine Learning Model by Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi, Alessandro Leparulo, Roberto Fontana, Stefano Vassanelli, Cristina Fasolato

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Influence of Intraoral Scanners, Operators, and Data Processing on Dimensional Accuracy of Dental Casts for Unsupervised Clinical Machine Learning: An In Vitro Comparative Study by Taseef Hasan Farook, Saif Ahmed, Jamal Giri, Farah Rashid, Toby Hughes, James Dudley

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Using simulation and machine learning to maximise the benefit of intravenous thrombolysis in acute stroke in England and Wales: the SAMueL modelling and qualitative study by Michael Allen, Charlotte James, Julia Frost, Kristin Liabo, Kerry Pearn, Thomas Monks, Zhivko Zhelev, Stuart Logan, Richard Everson, Martin James, Ken Stein

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Apply machine learning to predict cardiovascular risk in rural clinics from Mexico / Misael Zambrano-de la Torre ... [et al.] by Misael Zambrano-de la, Torre, Maximiliano, Guzmán-Fernández, Claudia, Sifuentes-Gallardo, Hamurabi, Gamboa-Rosales, Huizilopoztli, Luna-García, Ernesto, Sandoval-García, Ramiro, Esquivel-Felix, Héctor, Durán-Muñoz

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Automated system for concrete damage classification identification using various classification techniques in machine learning / Nur Haziqah Mat ... [et al.] by Mat, Nur Haziqah, Ahmad Zahida, Athifa Aisha, Abdul Malik, Siti Nurhaliza, Azmadi, Nur Athirah Syuhada, Senin, Syahrul Fithry

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Students' attitude towards video-based learning: machine learning analysis with rapid software / Abdullah Sani Abd Rahman ... [et al.] by Abd Rahman, Abdullah Sani, Meutia, Rita, Hamid, Yusnaliza, Abdul Rahman, Rahayu

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