Search Results - "Machine Learning"

Leveraging Social Media Activity and Machine Learning for HIV and Substance Abuse Risk Assessment: Development and Validation Study by Ovalle, Anaelia, Goldstein, Orpaz, Kachuee, Mohammad, Wu, Elizabeth S C, Hong, Chenglin, Holloway, Ian W, Sarrafzadeh, Majid

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Hierarchical deep compartment modeling: A workflow to leverage machine learning and Bayesian inference for hierarchical pharmacometric modeling by Ahmed Elmokadem, Matthew Wiens, Timothy Knab, Kiersten Utsey, Samuel P. Callisto, Daniel Kirouac

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Leveraging a disulfidptosis-related signature to predict the prognosis and immunotherapy effectiveness of cutaneous melanoma based on machine learning by Yi Zhao, Yanjun Wei, Lingjia Fan, Yuanliu Nie, Jianan Li, Renya Zeng, Jixian Li, Xiang Zhan, Lingli Lei, Zhichao Kang, Jiaxin Li, Wentao Zhang, Zhe Yang

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Leveraging Large Data, Statistics, and Machine Learning to Predict the Emergence of Resistant <i>E. coli</i> Infections by Rim Hur, Stephine Golik, Yifan She

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Estimating Prevalence, Demographics, and Costs of ME/CFS Using Large Scale Medical Claims Data and Machine Learning by Ashley R. Valdez, Elizabeth E. Hancock, Seyi Adebayo, David J. Kiernicki, Daniel Proskauer, John R. Attewell, Lucinda Bateman, Alfred DeMaria, Charles W. Lapp, Peter C. Rowe, Charmian Proskauer

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Identification of key immune-related genes and potential therapeutic drugs in diabetic nephropathy based on machine learning algorithms by Chang Guo, Wei Wang, Ying Dong, Yubing Han

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Spectroscopic Identification of Bacteria Resistance to Antibiotics by Means of Absorption of Specific Biochemical Groups and Special Machine Learning Algorithm by Claudia P. Barrera-Patiño, Jennifer M. Soares, Kate C. Branco, Natalia M. Inada, Vanderlei Salvador Bagnato

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Whole-genome sequencing surveillance and machine learning for healthcare outbreak detection and investigation: A systematic review and summary by Alexander J. Sundermann, Jieshi Chen, James K. Miller, Elise M. Martin, Graham M. Snyder, Daria Van Tyne, Jane W. Marsh, Artur Dubrawski, Lee H. Harrison

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Identification of Mitophagy-Associated Genes for the Prediction of Metabolic Dysfunction-Associated Steatohepatitis Based on Interpretable Machine Learning Models by Deng B, Chen Y, He P, Liu Y, Li Y, Cai Y, Dong W

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An individualized medication model of sodium valproate for patients with bipolar disorder based on machine learning and deep learning techniques by Ping Zheng, Ze Yu, Liqian Mo, Yuqing Zhang, Chunming Lyu, Yongsheng Yu, Jinyuan Zhang, Xin Hao, Hai Wei, Fei Gao, Yilei Li

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A machine learning screening model for identifying the risk of high-frequency hearing impairment in a general population by Yi Wang, Xinmeng Yao, Dahui Wang, Chengyin Ye, Liangwen Xu

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Simulating realistic patient profiles from pharmacokinetic models by a machine learning postprocessing correction of residual variability by Christos Kaikousidis, Robert R. Bies, Aristides Dokoumetzidis

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Machine Learning Approaches for Predicting Psoriatic Arthritis Risk Using Electronic Medical Records: Population-Based Study by Leon Tsung-Ju Lee, Hsuan-Chia Yang, Phung Anh Nguyen, Muhammad Solihuddin Muhtar, Yu-Chuan Jack Li

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Asymmetric trichotomous partitioning overcomes dataset limitations in building machine learning models for predicting siRNA efficacy by Kathryn R. Monopoli, Dmitry Korkin, Anastasia Khvorova

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Machine Learning Approaches to Predict Risks of Diabetic Complications and Poor Glycemic Control in Nonadherent Type 2 Diabetes by Yuting Fan, Enwu Long, Enwu Long, Lulu Cai, Lulu Cai, Qiyuan Cao, Xingwei Wu, Xingwei Wu, Rongsheng Tong, Rongsheng Tong

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Data Preprocessing Techniques for AI and Machine Learning Readiness: Scoping Review of Wearable Sensor Data in Cancer Care by Bengie L Ortiz, Vibhuti Gupta, Rajnish Kumar, Aditya Jalin, Xiao Cao, Charles Ziegenbein, Ashutosh Singhal, Muneesh Tewari, Sung Won Choi

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Machine Learning to Predict the 1-Year Mortality Rate After Acute Anterior Myocardial Infarction in Chinese Patients by Li Y, Jiang L, He J, Jia K, Peng Y, Chen M

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Prediction of newborn's body mass index using nationwide multicenter ultrasound data: a machine-learning study by Kwang-Sig Lee, Ho Yeon Kim, Se Jin Lee, Sung Ok Kwon, Sunghun Na, Han Sung Hwang, Mi Hye Park, Ki Hoon Ahn, Korean Society of Ultrasound in Obstetrics and Gynecology Research Group

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Desenvolvimento de um modelo baseado em Machine Learning para rastreamento precoce do câncer bucal by Ivisson

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Machine Learning for Localizing Epileptogenic-Zone in the Temporal Lobe: Quantifying the Value of Multimodal Clinical-Semiology and Imaging Concordance by Ali Alim-Marvasti, Ali Alim-Marvasti, Ali Alim-Marvasti, Ali Alim-Marvasti, Fernando Pérez-García, Fernando Pérez-García, Fernando Pérez-García, Karan Dahele, Gloria Romagnoli, Gloria Romagnoli, Beate Diehl, Beate Diehl, Rachel Sparks, Sebastien Ourselin, Matthew J. Clarkson, Matthew J. Clarkson, John S. Duncan, John S. Duncan

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