[HTML][HTML] Machine learning in the prediction of trauma outcomes: a systematic review

T Zhang, A Nikouline, D Lightfoot, B Nolan - Annals of emergency medicine, 2022 - Elsevier
Study objective Machine learning models carry unique potential as decision-making aids
and prediction tools for improving patient care. Traumatically injured patients provide a …

Machine learning and artificial intelligence for surgical decision making

S Byerly, LR Maurer, A Mantero, L Naar, G An… - Surgical …, 2021 - liebertpub.com
Background: The use of machine learning (ML) and artificial intelligence (AI) in medical
research continues to grow as the amount and availability of clinical data expands. These …

[HTML][HTML] An evidential reasoning rule based feature selection for improving trauma outcome prediction

F Almaghrabi, DL Xu, JB Yang - Applied Soft Computing, 2021 - Elsevier
Various demographic and medical factors can be linked to severe deterioration of patients
suffering from traumatic injuries. Accurate identification of the most relevant variables is …

[HTML][HTML] Association between smoking and COVID-19 severity: A multicentre retrospective observational study

Y He, Y He, Q Hu, S Yang, J Li, Y Liu, J Hu - Medicine, 2022 - journals.lww.com
The relationship between smoking and coronavirus disease 2019 (COVID-19) severity
remains unclear. This study aimed to investigate the effect of smoking status (current …

Novel molecular subtyping scheme based on in silico analysis of cuproptosis regulator gene patterns optimizes survival prediction and treatment of hepatocellular …

H Jiang, H Chen, Y Wang, Y Qian - Journal of Clinical Medicine, 2023 - mdpi.com
Background: The liver plays an important role in maintaining copper homeostasis. Copper
ion accumulation was elevated in HCC tissue samples. Copper homeostasis is implicated in …

A new time-window prediction model for traumatic hemorrhagic shock based on interpretable machine learning

Y Zhao, L Jia, R Jia, H Han, C Feng, X Li, Z Wei… - Shock, 2022 - journals.lww.com
Early warning prediction of traumatic hemorrhagic shock (THS) can greatly reduce patient
mortality and morbidity. We aimed to develop and validate models with different stepped …

[HTML][HTML] Combined application of inflammation-related biomarkers to predict postoperative complications of rectal cancer patients: a retrospective study by machine …

K Wang, Y Tang, F Zhang, X Guo, L Gao - Langenbeck's Archives of …, 2023 - Springer
Background Postoperative complications in patients of rectal cancer pose challenges to
postoperative recovery. Accurately predicting these complications is crucial for developing …

Risk factors for abdominal surgical site infection after exploratory laparotomy among combat casualties

JD Bozzay, PF Walker, DW Schechtman… - Journal of Trauma …, 2021 - journals.lww.com
BACKGROUND Surgical site infections (SSIs) are well-recognized complications after
exploratory laparotomy for abdominal trauma; however, little is known about SSI …

Artificial intelligence in healthcare: Algorithms and decision support systems

SP Rajan, M Paranthaman - Smart Systems for Industrial …, 2022 - Wiley Online Library
The purpose of this chapter is to discuss the role of Artificial Intelligence (AI) in medical
platform, especially to create a device that performs the same as a human organ does. We …

Viral micro-RNAs are detected in the early systemic response to injury and are associated with outcomes in polytrauma patients

D Vicente, SA Schobel, S Anfossi… - Critical care …, 2022 - journals.lww.com
OBJECTIVES: To evaluate early activation of latent viruses in polytrauma patients and
consider prognostic value of viral micro-RNAs in these patients. DESIGN: This was a subset …