Search Results - "Machine Learning"

Identification of Key Influencers for Secondary Distribution of HIV Self-Testing Kits Among Chinese Men Who Have Sex With Men: Development of an Ensemble Machine Learning Approach by Fengshi Jing, Yang Ye, Yi Zhou, Yuxin Ni, Xumeng Yan, Ying Lu, Jason Ong, Joseph D Tucker, Dan Wu, Yuan Xiong, Chen Xu, Xi He, Shanzi Huang, Xiaofeng Li, Hongbo Jiang, Cheng Wang, Wencan Dai, Liqun Huang, Wenhua Mei, Weibin Cheng, Qingpeng Zhang, Weiming Tang

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Issue of Data Imbalance on Low Birthweight Baby Outcomes Prediction and Associated Risk Factors Identification: Establishment of Benchmarking Key Machine Learning Models With Data Rebalancing Strategies by Yang Ren, Dezhi Wu, Yan Tong, Ana López-DeFede, Sarah Gareau

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Development of a pharmaceutical science systematic review process using a semi‐automated machine learning tool: Intravenous drug compatibility in the neonatal intensive care setting by D. Thisuri N. De Silva, Brioni R. Moore, Tobias Strunk, Michael Petrovski, Vanessa Varis, Kevin Chai, Leo Ng, Kevin T. Batty

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Can we diagnose mental disorders in children? A large‐scale assessment of machine learning on structural neuroimaging of 6916 children in the adolescent brain cognitive development study by Richard Gaus, Sebastian Pölsterl, Ellen Greimel, Gerd Schulte‐Körne, Christian Wachinger

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Emotional Distress During COVID-19 by Mental Health Conditions and Economic Vulnerability: Retrospective Analysis of Survey-Linked Twitter Data With a Semisupervised Machine Learning Algorithm by Michiko Ueda, Kohei Watanabe, Hajime Sueki

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A Rational Approach to Predicting Immediate Release Formulation Behavior in Multiple Gastric Motility Patterns: A Combination of a Biorelevant Apparatus, Design of Experiments, and Machine Learning by Marcela Staniszewska, Michał Romański, Sebastian Polak, Grzegorz Garbacz, Justyna Dobosz, Daria Myslitska, Svitlana Romanova, Jadwiga Paszkowska, Dorota Danielak

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Use of a Machine Learning Program to Correctly Triage Incoming Text Messaging Replies From a Cardiovascular Text-Based Secondary Prevention Program: Feasibility Study by Lowres, Nicole, Duckworth, Andrew, Redfern, Julie, Thiagalingam, Aravinda, Chow, Clara K

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Use of Multiprognostic Index Domain Scores, Clinical Data, and Machine Learning to Improve 12-Month Mortality Risk Prediction in Older Hospitalized Patients: Prospective Cohort Study by Richard John Woodman, Kimberley Bryant, Michael J Sorich, Alberto Pilotto, Arduino Aleksander Mangoni

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Prediction of hyperuricemia in people taking low-dose aspirin using a machine learning algorithm: a cross-sectional study of the National Health and Nutrition Examination Survey by Bin Zhu, Li Yang, Mingfen Wu, Qiao Wu, Kejia Liu, Yansheng Li, Wei Guo, Wei Guo, Zhigang Zhao

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Investigating Psychological Differences Between Nurses and Other Health Care Workers From the Asia-Pacific Region During the Early Phase of COVID-19: Machine Learning Approach by YanHong Dong, Mei Chun Yeo, Xiang Cong Tham, Rivan Danuaji, Thang H Nguyen, Arvind K Sharma, Komalkumar RN, Meenakshi PV, Mei-Ling Sharon Tai, Aftab Ahmad, Benjamin YQ Tan, Roger C Ho, Matthew Chin Heng Chua, Vijay K Sharma

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Analysing 3429 digital supervisory interactions between Community Health Workers in Uganda and Kenya: the development, testing and validation of an open access predictive machine learning web app by James O'Donovan, Ken Kahn, MacKenzie MacRae, Allan Saul Namanda, Rebecca Hamala, Ken Kabali, Anne Geniets, Alice Lakati, Simon M. Mbae, Niall Winters

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Developing the Total Health Profile, a Generalizable Unified Set of Multimorbidity Risk Scores Derived From Machine Learning for Broad Patient Populations: Retrospective Cohort Study by Abhishaike Mahajan, Andrew Deonarine, Axel Bernal, Genevieve Lyons, Beau Norgeot

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The machine learning model based on trajectory analysis of ribonucleic acid test results predicts the necessity of quarantine in recurrently positive patients with SARS-CoV-2 infection by Qi-Xiang Song, Zhichao Jin, Weilin Fang, Chenxu Zhang, Chi Peng, Min Chen, Xu Zhuang, Wei Zhai, Jun Wang, Min Cao, Shun Wei, Xia Cai, Lei Pan, Qingrong Xu, Junhua Zheng

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Quantitative Screening of Cervical Cancers for Low-Resource Settings: Pilot Study of Smartphone-Based Endoscopic Visual Inspection After Acetic Acid Using Machine Learning Techniques by Bae, Jung Kweon, Roh, Hyun-Jin, You, Joon S, Kim, Kyungbin, Ahn, Yujin, Askaruly, Sanzhar, Park, Kibeom, Yang, Hyunmo, Jang, Gil-Jin, Moon, Kyung Hyun, Jung, Woonggyu

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A Risk-Factor Model for Antineoplastic Drug-Induced Serious Adverse Events in Cancer Inpatients: A Retrospective Study Based on the Global Trigger Tool and Machine Learning by Ni Zhang, Ni Zhang, Ling-Yun Pan, Wan-Yi Chen, Huan-Huan Ji, Gui-Qin Peng, Zong-Wei Tang, Hui-Lai Wang, Yun-Tao Jia, Yun-Tao Jia, Jun Gong

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What could be the role of genetic tests and machine learning of AXIN2 variant dominance in non-syndromic hypodontia?... by Nora Alhazmi, Ali Alaqla, Bader Almuzzaini, Mohammed Aldrees, Ghaida Alnaqa, Farah Almasoud, Omar Aldibasi, Hala Alshamlan

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Performance of externally validated machine learning models based on histopathology images for the diagnosis, classification, prognosis, or treatment outcome prediction in female breast cancer: A systematic review by Ricardo Gonzalez, Peyman Nejat, Ashirbani Saha, Clinton J.V. Campbell, Andrew P. Norgan, Cynthia Lokker

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Applying machine-learning to rapidly analyze large qualitative text datasets to inform the COVID-19 pandemic response: comparing human and machine-assisted topic analysis techniques by Lauren Towler, Lauren Towler, Paulina Bondaronek, Paulina Bondaronek, Trisevgeni Papakonstantinou, Trisevgeni Papakonstantinou, Richard Amlôt, Tim Chadborn, Ben Ainsworth, Ben Ainsworth, Lucy Yardley, Lucy Yardley

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Supporting Decision-Making Process on Higher Education Dropout by Analyzing Academic, Socioeconomic, and Equity Factors through Machine Learning and Survival Analysis Methods in the Latin American Context by Daniel A. Gutierrez-Pachas, Germain Garcia-Zanabria, Ernesto Cuadros-Vargas, Guillermo Camara-Chavez, Erick Gomez-Nieto

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Artificial Life IX Proceedings of the Ninth International Conference on the Simulation and Synthesis of Living Systems

Subjects: “…Machine learning bicssc…”
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