Cargando…

Prediction of Prognosis in Patients with Trauma by Using Machine Learning

Background and Objectives: We developed a machine learning algorithm to analyze trauma-related data and predict the mortality and chronic care needs of patients with trauma. Materials and Methods: We recruited admitted patients with trauma during 2015 and 2016 and collected their clinical data. Then...

Descripción completa

Detalles Bibliográficos
Autores principales:	Lee, Kuo-Chang, Hsu, Chien-Chin, Lin, Tzu-Chieh, Chiang, Hsiu-Fen, Horng, Gwo-Jiun, Chen, Kuo-Tai
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9606956/ https://www.ncbi.nlm.nih.gov/pubmed/36295540 http://dx.doi.org/10.3390/medicina58101379

Ejemplares similares

Predicting outcomes after trauma: Prognostic model development based on admission features through machine learning
por: Lee, Kuo-Chang, et al.
Publicado: (2021)

Stateful-Service-Based Pupil Recognition in Natural Light Environments
por: Ke, Rih-Shen, et al.
Publicado: (2022)

Comprehensive comparison between geriatric and nongeriatric patients with trauma
por: Lin, Pei-Chen, et al.
Publicado: (2022)

Differences in injury and trauma management between migrant workers and citizens
por: Tsai, Yu-Chiao, et al.
Publicado: (2020)

Application of machine learning methods for the prediction of true fasting status in patients performing blood tests
por: Chang, Shih-Ni, et al.
Publicado: (2022)

Predicting Sepsis Mortality in a Population-Based National Database: Machine Learning Approach
por: Park, James Yeongjun, et al.
Publicado: (2022)

Machine Learning Model for Risk Prediction of Community-Acquired Acute Kidney Injury Hospitalization From Electronic Health Records: Development and Validation Study
por: Hsu, Chien-Ning, et al.
Publicado: (2020)

Machine Learning Model to Identify Sepsis Patients in the Emergency Department: Algorithm Development and Validation
por: Lin, Pei-Chen, et al.
Publicado: (2021)

Beyond Sarcopenia: older adults with type II diabetes mellitus tend to experience an elevated risk of poor dynamic balance—a case–control study
por: Lin, Chih-Chun, et al.
Publicado: (2022)

Explainable Machine Learning Techniques To Predict Amiodarone-Induced Thyroid Dysfunction Risk: Multicenter, Retrospective Study With External Validation
por: Lu, Ya-Ting, et al.
Publicado: (2023)

Machine Learning Models of Survival Prediction in Trauma Patients
por: Rau, Cheng-Shyuan, et al.
Publicado: (2019)

Developing a Prognostic Gene Panel of Epithelial Ovarian Cancer Patients by a Machine Learning Model
por: Lu, Tzu-Pin, et al.
Publicado: (2019)

Machine Learning Algorithms to Predict Mortality of Neonates on Mechanical Intubation for Respiratory Failure
por: Hsu, Jen-Fu, et al.
Publicado: (2021)

The Feasibility of a Machine Learning Approach in Predicting Successful Ventilator Mode Shifting for Adult Patients in the Medical Intensive Care Unit
por: Cheng, Kuang-Hua, et al.
Publicado: (2022)

Using Cellular Automata for Parking Recommendations in Smart Environments
por: Horng, Gwo-Jiun
Publicado: (2014)

Efficacy and safety of intravenous tranexamic acid in urologic surgery: A systematic review and meta-analysis of randomized controlled trials
por: Lin, Yu-Hui, et al.
Publicado: (2023)

Muscle Mass Measurement Using Machine Learning Algorithms with Electrical Impedance Myography
por: Cheng, Kuo-Sheng, et al.
Publicado: (2022)

Comparison of Models for the Prediction of Medical Costs of Spinal Fusion in Taiwan Diagnosis-Related Groups by Machine Learning Algorithms
por: Kuo, Ching-Yen, et al.
Publicado: (2018)

Predicting Wafer-Level Package Reliability Life Using Mixed Supervised and Unsupervised Machine Learning Algorithms
por: Su, Qing-Hua, et al.
Publicado: (2022)

Prediction of Antidepressant Treatment Response and Remission Using an Ensemble Machine Learning Framework
por: Lin, Eugene, et al.
Publicado: (2020)

Machine Learning Approaches to Predict In-Hospital Mortality among Neonates with Clinically Suspected Sepsis in the Neonatal Intensive Care Unit
por: Hsu, Jen-Fu, et al.
Publicado: (2021)

Machine Learning in Prediction of Second Primary Cancer and Recurrence in Colorectal Cancer
por: Ting, Wen-Chien, et al.
Publicado: (2020)

Federated machine learning for predicting acute kidney injury in critically ill patients: a multicenter study in Taiwan
por: Huang, Chun-Te, et al.
Publicado: (2023)

Machine Learning Algorithm Predicts Mortality Risk in Intensive Care Unit for Patients with Traumatic Brain Injury
por: Tu, Kuan-Chi, et al.
Publicado: (2023)

Prediction model for high glycated hemoglobin concentration among ethnic Chinese in Taiwan
por: Chien, Kuo-Liong, et al.
Publicado: (2010)

Lipid-related residual risk and renal function for occurrence and prognosis among patients with first-event acute coronary syndrome and normal LDL cholesterol
por: Chien, Kuo-Liong, et al.
Publicado: (2011)

Derivation and validation of different machine-learning models in mortality prediction of trauma in motorcycle riders: a cross-sectional retrospective study in southern Taiwan
por: Kuo, Pao-Jen, et al.
Publicado: (2018)

Machine Learning for Prediction of Recurrence in Parasagittal and Parafalcine Meningiomas: Combined Clinical and MRI Texture Features
por: Hsieh, Hsun-Ping, et al.
Publicado: (2022)

A retrospective comparative study of endoscopic and microscopic Tympanoplasty
por: Hsu, Ying-Chieh, et al.
Publicado: (2018)

Predicting 30-Day Readmission for Stroke Using Machine Learning Algorithms: A Prospective Cohort Study
por: Chen, Yu-Ching, et al.
Publicado: (2022)

Splicing factor mutations predict poor prognosis in patients with de novo acute myeloid leukemia
por: Hou, Hsin-An, et al.
Publicado: (2016)

How can sports entrepreneurs achieve their corporate sustainable development goals under the COVID-19 epidemic?
por: Ting, Kuo Chiang, et al.
Publicado: (2021)

Prediction of Probable Major Depressive Disorder in the Taiwan Biobank: An Integrated Machine Learning and Genome-Wide Analysis Approach
por: Lin, Eugene, et al.
Publicado: (2021)

Explainable Machine Learning to Predict Successful Weaning Among Patients Requiring Prolonged Mechanical Ventilation: A Retrospective Cohort Study in Central Taiwan
por: Lin, Ming-Yen, et al.
Publicado: (2021)

The ratio and difference of urine protein-to-creatinine ratio and albumin-to-creatinine ratio facilitate risk prediction of all-cause mortality
por: Chang, David Ray, et al.
Publicado: (2021)

Incidence and clinical features of patients with peritoneal dialysis peritonitis complicated by bacteremia
por: Tsai, Chang-Chih, et al.
Publicado: (2018)

Acute Exacerbation of a Chronic Obstructive Pulmonary Disease Prediction System Using Wearable Device Data, Machine Learning, and Deep Learning: Development and Cohort Study
por: Wu, Chia-Tung, et al.
Publicado: (2021)

The Clinical Application of Machine Learning-Based Models for Early Prediction of Hemorrhage in Trauma Intensive Care Units
por: Lee, Shih-Wei, et al.
Publicado: (2022)

Developing a machine-learning model for real-time prediction of successful extubation in mechanically ventilated patients using time-series ventilator-derived parameters
por: Huang, Kuo-Yang, et al.
Publicado: (2023)

Applications of Machine Learning in Cancer Prediction and Prognosis
por: Cruz, Joseph A., et al.
Publicado: (2007)

Cannot write session to /tmp/vufind_sessions/sess_0opu3o1la2oai7k3q6parrmvf2