التفاصيل البيبلوغرافية
| العنوان: |
Additional file 1 of Reinforcement learning assisted oxygen therapy for COVID-19 patients under intensive care |
| المؤلفون: |
Hua Zheng (1787305), Jiahao Zhu (7817738), Wei Xie (16543), Judy Zhong (3455411) |
| سنة النشر: |
2021 |
| المجموعة: |
Smithsonian Institution: Digital Repository |
| مصطلحات موضوعية: |
Medicine, Cancer, Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, oxygen shortage issue, oxygen scarce resources, oxygen flow trajectory, markov decision process, individual patient characteristics, deep reinforcement learning, current clinical practice, 08 – 3, oxygen flow rate, improve public health, electronic health records, machine learning algorithm, critically ill patients, 14 – 1, mean mortality rate, day mortality rate, intensive care showed, mortality rate, rate delivered, intensive care, health status, health outcomes, rl algorithm, proposed algorithm, training data |
| الوصف: |
Additional file 1. Methods and Model Details. |
| نوع الوثيقة: |
article in journal/newspaper |
| اللغة: |
unknown |
| العلاقة: |
https://figshare.com/articles/journal_contribution/Additional_file_1_of_Reinforcement_learning_assisted_oxygen_therapy_for_COVID-19_patients_under_intensive_care/17273344Test |
| DOI: |
10.6084/m9.figshare.17273344.v1 |
| الإتاحة: |
https://doi.org/10.6084/m9.figshare.17273344.v1Test |
| حقوق: |
CC BY + CC0 |
| رقم الانضمام: |
edsbas.E5ADD179 |
| قاعدة البيانات: |
BASE |
