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Paula Eckardt

Paula Eckard

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Journal Articles

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2023
[j1]
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  dblp key:
  - journals/fdgth/DattaDMNHKSSE23
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  - https://dblp.org/rec/journals/fdgth/DattaDMNHKSSE23
Debarshi Datta, Safiya George Dalmida, Laurie Martinez, David Newman, Javad Hashemi, Taghi M. Khoshgoftaar, Connor Shorten, Candice Sareli, Paula Eckardt:
Using machine learning to identify patient characteristics to predict mortality of in-patients with COVID-19 in South Florida. Frontiers Digit. Health 5 (2023)

Conference and Workshop Papers

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2022
[c2]
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Connor Shorten, Taghi M. Khoshgoftaar, Javad Hashemi, Safiya George Dalmida, David Newman, Debarshi Datta, Laurie Martinez, Candice Sareli, Paula Eckard:
Predicting the Severity of COVID-19 Respiratory Illness with Deep Learning. FLAIRS 2022
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Connor Shorten, Erika Cardenas, Taghi M. Khoshgoftaar, Javad Hashemi, Safiya George Dalmida, David Newman, Debarshi Datta, Laurie Martinez, Candice Sareli, Paula Eckard:
Exploring Language-Interfaced Fine-Tuning for COVID-19 Patient Survival Classification. ICTAI 2022: 1449-1454

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