التفاصيل البيبلوغرافية
| العنوان: |
Analysis of model performance over 6-hour and 12-hour prediction horizon. |
| المؤلفون: |
Lakshya Singhal (11478546), Yash Garg (11478549), Philip Yang (11478552), Azade Tabaie (11436346), A. Ian Wong (11478555), Akram Mohammed (3477728), Lokesh Chinthala (11478558), Dipen Kadaria (11478561), Amik Sodhi (11478564), Andre L. Holder (11478567), Annette Esper (6385298), James M. Blum (7300496), Robert L. Davis (11478570), Gari D. Clifford (6508535), Greg S. Martin (9155149), Rishikesan Kamaleswaran (10176173) |
| سنة النشر: |
2021 |
| المجموعة: |
Smithsonian Institution: Digital Repository |
| مصطلحات موضوعية: |
Cell Biology, Genetics, Science Policy, Mental Health, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, systolic blood pressure, performed significantly better, maximum respiratory rate, machine learning algorithm, intensive care units, generate predictive models, electronic medical record, 94 ]), compared, 92 &# 8211, 19 emr database, 88 – 0, 75 – 0, 085 – 0, identified salient features, 18 &# 8211, younger age group, older age group, div >< p, 81 &# 8211, comprising 899 covid, 90 ), sensitivity, 19 |
| الوصف: |
Analysis of model performance over 6-hour and 12-hour prediction horizon. |
| نوع الوثيقة: |
dataset |
| اللغة: |
unknown |
| Relation: |
https://figshare.com/articles/dataset/Analysis_of_model_performance_over_6-hour_and_12-hour_prediction_horizon_/16678920 |
| DOI: |
10.1371/journal.pone.0257056.t002 |
| الاتاحة: |
https://doi.org/10.1371/journal.pone.0257056.t002 |
| Rights: |
CC BY 4.0 |
| رقم الانضمام: |
edsbas.53EAF993 |
| قاعدة البيانات: |
BASE |