Validation of a Visual-Based Analytics Tool for Outcome Prediction in Polytrauma Patients (WATSON Trauma Pathway Explorer) and Comparison with the Predictive Values of TRISS
<b>Introduction:</b> Big data-based artificial intelligence (AI) has become increasingly important in medicine and may be helpful in the future to predict diseases and outcomes. For severely injured patients, a new analytics tool has recently been developed (WATSON Trauma Pathway Explore...
Main Authors: | Cédric Niggli, Hans-Christoph Pape, Philipp Niggli, Ladislav Mica |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-05-01
|
Series: | Journal of Clinical Medicine |
Subjects: | |
Online Access: | https://www.mdpi.com/2077-0383/10/10/2115 |
Similar Items
-
Evaluation of Probability of Survival using APACHE II & TRISS Method in Orthopaedic Polytrauma Patients in a Tertiary Care Centre
by: Archit Agarwal, et al.
Published: (2015-07-01) -
Polytrauma – Definition & Management Aspects and Trauma Score?
by: Agron Dogjani
Published: (2018-01-01) -
Trauma and Injury Severity Score in Predicting Mortality of Polytrauma Patients
by: Bambang Gunawan, et al.
Published: (2018-01-01) -
Modern techniques in treatment of chest and extremity polytraumas
by: Khmara Т.G., et al.
Published: (2012-12-01) -
MAXILLOFACIAL FRACTURES IN PATIENTS WITH MULTIPLE INJURIES AND POLYTRAUMA
by: Elitsa G.Deliverska
Published: (2016-05-01)