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Emerging diseases present challenges in symptom recognition and timely clinical intervention due to limited available information.
An introduction to roc analysis
Tom Fawcett · 2006
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Meinard Müller · 2007
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Healing sample selection bias by source classifier selection
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Root mean square error (rmse) or mean absolute error (mae)?–arguments against avoiding rmse in the literature
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Unsupervised domain adaptation by backpropagation
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Gate-variants of gated recurrent unit (gru) neural networks
Rahul Dey and Fathi M Salem · 2017
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Timenet: Pre-trained deep recurrent neural network for time series classification
Pankaj Malhotra, Vishnu TV, Lovekesh Vig, Puneet Agarwal, and Gautam Shroff · 2017
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Inci M Baytas, Cao Xiao, Xi Zhang, Fei Wang, Anil K Jain, and Jiayu Zhou · 2017
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Health-atm: A deep architecture for multifaceted patient health record representation and risk prediction
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Early prediction of sepsis from clinical data: the physionet/computing in cardiology challenge 2019
Matthew A Reyna, Chris Josef, Salman Seyedi, Russell Jeter, Supreeth P Shashikumar, M Brandon Westover, Ashish Sharma, Shamim Nemati, and Gari D Clifford · 2019
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Prediction rule for scrub typhus meningoencephalitis in children: emerging disease in north india
Areesha Alam, Pranshi Agarwal, Jayanti Prabha, Amita Jain, Raj Kumar Kalyan, Chandrakanta Kumar, and Rashmi Kumar · 2020
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Junyi Gao, Cao Xiao, Yasha Wang, Wen Tang, Lucas M Glass, and Jimeng Sun · 2020
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C-reactive protein levels in the early stage of covid-19
L Wang · 2020
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Junyi Gao, Cao Xiao, Lucas M Glass, and Jimeng Sun · 2020
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Improving electrocardiogram-based detection of rare genetic heart disease using transfer learning: An application to phospholamban p. arg14del mutation carriers
Ricardo R Lopes, Hidde Bleijendaal, Lucas A Ramos, Tom E Verstraelen, Ahmad S Amin, Arthur AM Wilde, Yigal M Pinto, Bas AJM de Mol, and Henk A Marquering · 2021
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Predicting progression to septic shock in the emergency department using an externally generalizable machine-learning algorithm
Gabriel Wardi, Morgan Carlile, Andre Holder, Supreeth Shashikumar, Stephen R Hayden, and Shamim Nemati · 2021
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An improved index for diagnosis and mortality prediction in malignancy-associated hemophagocytic lymphohistiocytosis
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Clinical features of patients infected with 2019 novel coronavirus in wuhan, china
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Locally informed simulation to predict hospital capacity needs during the covid-19 pandemic
Gary E Weissman, Andrew Crane-Droesch, Corey Chivers, ThaiBinh Luong, Asaf Hanish, Michael Z Levy, Jason Lubken, Michael Becker, Michael E Draugelis, George L Anesi, et al · 2020
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Neutrophil-to-lymphocyte ratio predicts critical illness patients with 2019 coronavirus disease in the early stage
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An interpretable mortality prediction model for covid-19 patients
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Multi-source deep domain adaptation with weak supervision for time-series sensor data
Garrett Wilson, Janardhan Rao Doppa, and Diane J Cook · 2020
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Distilling knowledge from publicly available online emr data to emerging epidemic for prognosis
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Protocol to process follow-up electronic medical records of peritoneal dialysis patients to train ai models
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Covid data save lives
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