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Alzheimer'S & Dementia (Amsterdam, Netherlands)|November 21, 2018
Characterizing heterogeneity in the progression of Alzheimer's disease using longitudinal clinical and neuroimaging biomarkersDevendra Goyal, Donna Tjandra, Raymond Q Migrino, et al.Open Forum Infectious Diseases|March 4, 2015
Learning Data-Driven Patient Risk Stratification Models for Clostridium difficileJenna Wiens, Wayne N Campbell, Ella S Franklin, et al.Communications Biology|June 10, 2022
AMAISE: a machine learning approach to index-free sequence enrichmentMeera Krishnamoorthy, Piyush Ranjan, John R Erb-Downward, et al.Open Forum Infectious Diseases|February 27, 2018
Potential Adverse Effects of Broad-Spectrum Antimicrobial Exposure in the Intensive Care UnitJenna Wiens, Graham M Snyder, Samuel Finlayson, et al.Mbio|June 11, 2020
A Framework for Effective Application of Machine Learning to Microbiome-Based Classification ProblemsBegüm D Topçuoğlu, Nicholas A Lesniak, Mack T Ruffin, et al.Plos One|February 15, 2022
Augmenting existing deterioration indices with chest radiographs to predict clinical deteriorationEmily Mu, Sarah Jabbour, Adrian V Dalca, et al.Journal of Open Source Software|August 20, 2021
mikropml: User-Friendly R Package for Supervised Machine Learning PipelinesBegüm D Topçuoğlu, Zena Lapp, Kelly L Sovacool, et al.Journal of Neuroengineering and Rehabilitation|July 14, 2021
Automatically evaluating balance using machine learning and data from a single inertial measurement unitFahad Kamran, Kathryn Harrold, Jonathan Zwier, et al.Plos One|March 29, 2019
Machine learning for patient risk stratification for acute respiratory distress syndromeDaniel Zeiberg, Tejas Prahlad, Brahmajee K Nallamothu, et al.BMJ (Clinical Research Ed.)|February 18, 2022
Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation studyFahad Kamran, Shengpu Tang, Erkin Otles, et al.Pageof 7