AIMC Topic: Time-to-Treatment

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Identifying the relative importance of predictors of survival in out of hospital cardiac arrest: a machine learning study.

Scandinavian journal of trauma, resuscitation and emergency medicine Jun 25, 2020
INTRODUCTION: Studies examining the factors linked to survival after out of hospital cardiac arrest (OHCA) have either aimed to describe the characteristics and outcomes of OHCA in different parts of the world, or focused on certain factors and wheth...
Heart Rate Survival Analysis Time-to-Treatment Cardiopulmonary Resuscitation Out-of-Hospital Cardiac Arrest Humans Machine Learning Algorithms Female Sweden Aged Male Age Factors Emergency Medical Services
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Automatic segmentation of pelvic organs-at-risk using a fusion network model based on limited training samples.

Acta oncologica (Stockholm, Sweden) Jun 22, 2020
Efficient and accurate methods are needed to automatically segmenting organs-at-risk (OAR) to accelerate the radiotherapy workflow and decrease the treatment wait time. We developed and evaluated the use of a fused model Dense V-Network for its abil...
Humans Neural Networks, Computer Algorithms Female Uterine Cervical Neoplasms Organs at Risk Spinal Cord Deep Learning Time-to-Treatment Intestines Femur Pelvis Urinary Bladder Rectum Workflow
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Using machine learning models to predict the initiation of renal replacement therapy among chronic kidney disease patients.

PloS one Jun 5, 2020
Starting renal replacement therapy (RRT) for patients with chronic kidney disease (CKD) at an optimal time, either with hemodialysis or kidney transplantation, is crucial for patient's well-being and for successful management of the condition. In thi...
Humans Machine Learning Retrospective Studies Renal Replacement Therapy Time-to-Treatment ROC Curve Renal Insufficiency, Chronic Clinical Decision-Making Taiwan Disease Progression Models, Biological Comorbidity Datasets as Topic Severity of Illness Index Time Factors
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Predicting Wait Times in Pediatric Ophthalmology Outpatient Clinic Using Machine Learning.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
Patient perceptions of wait time during outpatient office visits can affect patient satisfaction. Providing accurate information about wait times could improve patients' satisfaction by reducing uncertainty. However, these are rarely known about effi...
Patient Satisfaction Models, Statistical Linear Models Humans Ophthalmology Time-to-Treatment Supervised Machine Learning Machine Learning Ambulatory Care Facilities Time Factors Pediatrics ROC Curve
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Can clinical audits be enhanced by pathway simulation and machine learning? An example from the acute stroke pathway.

BMJ open Sep 17, 2019
OBJECTIVE: To evaluate the application of clinical pathway simulation in machine learning, using clinical audit data, in order to identify key drivers for improving use and speed of thrombolysis at individual hospitals.
Computer Simulation Hospitals England Time Factors Thrombolytic Therapy Humans Machine Learning Clinical Audit Fibrinolytic Agents Stroke Brain Ischemia Tissue Plasminogen Activator Time-to-Treatment
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Machine Learning to Predict Delays in Adjuvant Radiation following Surgery for Head and Neck Cancer.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery Jan 29, 2019
OBJECTIVE: To apply a novel methodology with machine learning (ML) to a large national cancer registry to help identify patients who are high risk for delayed adjuvant radiation.
Neoplasm Staging Time-to-Treatment Radiotherapy, Adjuvant Female Carcinoma, Squamous Cell Aged Male Middle Aged Cohort Studies United States Socioeconomic Factors Head and Neck Neoplasms Humans Predictive Value of Tests Machine Learning Algorithms Databases, Factual
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Association of time to colonoscopy after a positive fecal test result and fecal hemoglobin concentration with risk of advanced colorectal neoplasia.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver Dec 23, 2018
BACKGROUND: We evaluated the risk of advanced colorectal neoplasia (ACRN) and colorectal cancer (CRC) according to time to colonoscopy after positive fecal immunochemical test (FIT), fecal hemoglobin concentration, and combination of both.
Early Detection of Cancer Neoplasm Staging Hemoglobins Risk Assessment Time-to-Treatment Female Humans Occult Blood Colon Multivariate Analysis Aged Republic of Korea Colonoscopy Colorectal Neoplasms Feces Male Logistic Models Middle Aged
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Automated video surveillance and machine learning: Leveraging existing infrastructure for cardiac arrest detection and emergency response activation.

Resuscitation Feb 21, 2018
Out-of-Hospital Cardiac Arrest Machine Learning Emergency Medical Services Video Recording Time-to-Treatment Humans
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Early surgery after angiography in patients scheduled for valve replacement.

Asian cardiovascular & thoracic annals Nov 14, 2016
Background There are limited data regarding the risks of cardiac surgery early after coronary angiography in patients scheduled for isolated aortic and/or mitral valve replacement. Our aim was to evaluate the risk of early surgery after coronary angi...
Female Mitral Valve Risk Factors Heart Valve Diseases Aortic Valve Heart Valve Prosthesis Implantation Aged Predictive Value of Tests Time-to-Treatment Aged, 80 and over Humans Middle Aged Coronary Angiography Renal Insufficiency Male Biomarkers Risk Assessment Creatinine Retrospective Studies Time Factors Patient Selection Acute Kidney Injury Hospital Mortality Treatment Outcome
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Robotic telepresence versus standardly supervised stroke alert team assessments.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association Dec 9, 2014
BACKGROUND: Telemedicine has created access to emergency stroke care for patients in all communities, regardless of geography. We hypothesized that there is no difference in speed of assessment between vascular neurologist (VN) robotic telepresence a...
Humans Female Aged Aged, 80 and over Adult Stroke Arizona Telemedicine Time Factors Survival Analysis Treatment Outcome Chi-Square Distribution Linear Models Male Follow-Up Studies Time-to-Treatment Middle Aged Robotics Endovascular Procedures Risk Assessment Thrombolytic Therapy Emergency Treatment Emergencies Severity of Illness Index
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