Cargando…

Predicting Cardiac Arrest and Respiratory Failure Using Feasible Artificial Intelligence with Simple Trajectories of Patient Data

We introduce a Feasible Artificial Intelligence with Simple Trajectories for Predicting Adverse Catastrophic Events (FAST-PACE) solution for preparing immediate intervention in emergency situations. FAST-PACE utilizes a concise set of collected features to construct an artificial intelligence model...

Descripción completa

Detalles Bibliográficos
Autores principales:	Kim, Jeongmin, Chae, Myunghun, Chang, Hyuk-Jae, Kim, Young-Ah, Park, Eunjeong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2019
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6780058/ https://www.ncbi.nlm.nih.gov/pubmed/31470543 http://dx.doi.org/10.3390/jcm8091336

Ejemplares similares

Artificial intelligence algorithm for predicting cardiac arrest using electrocardiography
por: Kwon, Joon-myoung, et al.
Publicado: (2020)

Artificial Intelligence and Echocardiography
por: Yoon, Yeonyee E., et al.
Publicado: (2021)

Artificial Intelligence in Predicting Cardiac Arrest: Scoping Review
por: Alamgir, Asma, et al.
Publicado: (2021)

Determining the cause of cardiac arrest: artificial intelligence at the bedside
por: Engrav, Samantha K, et al.
Publicado: (2023)

Analyzing Patient Trajectories With Artificial Intelligence
por: Allam, Ahmed, et al.
Publicado: (2021)

Artificial intelligence algorithm for predicting mortality of patients with acute heart failure
por: Kwon, Joon-myoung, et al.
Publicado: (2019)

Feasibility of artificial intelligence assisted quantitative muscle ultrasound in carpal tunnel syndrome
por: Kim, Sun Woong, et al.
Publicado: (2023)

Artificial intelligence-based clustering and characterization of Parkinson's disease trajectories
por: Birkenbihl, Colin, et al.
Publicado: (2023)

Ten simple rules for engaging with artificial intelligence in biomedicine
por: Malik, Avni, et al.
Publicado: (2021)

Artificial intelligence to support out-of-hospital cardiac arrest care: A scoping review
por: Toy, Jake, et al.
Publicado: (2023)

Artificial intelligence for the diagnosis of heart failure
por: Choi, Dong-Ju, et al.
Publicado: (2020)

Using simple artificial intelligence methods for predicting amyloidogenesis in antibodies
por: David, Maria Pamela C, et al.
Publicado: (2010)

The use of transcutaneous CO(2) monitoring in cardiac arrest patients: a feasibility study
por: Choi, Sung-Hyuk, et al.
Publicado: (2014)

Trajectories of Vital Signs and Risk of In-Hospital Cardiac Arrest
por: Tsai, Chu-Lin, et al.
Publicado: (2022)

Vagus Nerve Stimulation Improves Mitochondrial Dysfunction in Post–cardiac Arrest Syndrome in the Asphyxial Cardiac Arrest Model in Rats
por: Kim, Seonghye, et al.
Publicado: (2022)

Retrospective Review of Missed Cancer Detection and Its Mammography Findings with Artificial-Intelligence-Based, Computer-Aided Diagnosis
por: Park, Ga Eun, et al.
Publicado: (2022)

Artificial Intelligence and Machine Learning Applications in Sudden Cardiac Arrest Prediction and Management: A Comprehensive Review
por: Aqel, Sarah, et al.
Publicado: (2023)

Feasibility of hippocampus-sparing VMAT for newly diagnosed glioblastoma treated by chemoradiation: pattern of failure analysis
por: Wee, Chan Woo, et al.
Publicado: (2020)

Artificial Intelligence for Neurosurgery : Current State and Future Directions
por: Noh, Sung Hyun, et al.
Publicado: (2023)

Automated detection of colorectal tumors based on artificial intelligence
por: Lee, Kwang-Sig, et al.
Publicado: (2021)

Feasibility of screening for diabetic retinopathy using artificial intelligence, Brazil
por: Malerbi, Fernando Korn, et al.
Publicado: (2022)

Artificial intelligence feasibility in veterinary medicine: A systematic review
por: Bouchemla, Fayssal, et al.
Publicado: (2023)

2030. How Machine-Learning Technique Using Artificial Neural Network Determines Whether the Fever Is Actually Related to the Bacteremia
por: Lee, Kyoung Hwa, et al.
Publicado: (2018)

Deep into the Brain: Artificial Intelligence in Stroke Imaging
por: Lee, Eun-Jae, et al.
Publicado: (2017)

Applications of artificial intelligence and machine learning in heart failure
por: Averbuch, Tauben, et al.
Publicado: (2022)

Artificial intelligence in breast ultrasonography
por: Kim, Jaeil, et al.
Publicado: (2021)

A simple algorithm for the treatment of traumatic cardiac arrest
por: Lockey, DJ, et al.
Publicado: (2013)

Explainable artificial intelligence on life satisfaction, diabetes mellitus and its comorbid condition
por: Kim, Ranyeong, et al.
Publicado: (2023)

Clinicians’ Guide to Artificial Intelligence in Colon Capsule Endoscopy—Technology Made Simple
por: Lei, Ian I., et al.
Publicado: (2023)

Artificial Intelligence for Automatic Monitoring of Respiratory Health Conditions in Smart Swine Farming
por: Lagua, Eddiemar B., et al.
Publicado: (2023)

Application of Table Tennis Ball Trajectory and Rotation-Oriented Prediction Algorithm Using Artificial Intelligence
por: Liu, Qiang, et al.
Publicado: (2022)

Artificial Intelligence-based Radiomics in the Era of Immuno-oncology
por: Kang, Cyra Y, et al.
Publicado: (2022)

Artificial Intelligence–Driven Respiratory Distress Syndrome Prediction for Very Low Birth Weight Infants: Korean Multicenter Prospective Cohort Study
por: Jang, Woocheol, et al.
Publicado: (2023)

Failure of Artificial Dentures under Modern Methods, and a Simple Remedy
por: Spence, Stewart J.
Publicado: (1922)

Erratum: Moderate to Severe Left Ventricular Ejection Fraction Related to Short-term Mortality of Patients with Post-cardiac Arrest Syndrome after Out-of-Hospital Cardiac Arrest
por: Min, Kyoung Jeen, et al.
Publicado: (2017)

Artificial Intelligence Approach to the Monitoring of Respiratory Sounds in Asthmatic Patients
por: Hafke-Dys, Honorata, et al.
Publicado: (2021)

Development of Artificial Intelligence to Support Needle Electromyography Diagnostic Analysis
por: Nam, Sangwoo, et al.
Publicado: (2019)

Automatic Identification of Failure in Hip Replacement: An Artificial Intelligence Approach
por: Loppini, Mattia, et al.
Publicado: (2022)

Introduction to ‘Artificial intelligence in failure analysis of transportation infrastructure and materials'
por: Hou, Yue, et al.
Publicado: (2023)

Feasibility of artificial intelligence-based decision supporting system in tolvaptan prescription for autosomal dominant polycystic kidney disease
por: Shin, Jung Hyun, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_0e0jbrdqu3vt3075fbsildeuo3