AIMC Topic: Severity of Illness Index

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Development and Validation of a Deep Learning System for Staging Liver Fibrosis by Using Contrast Agent-enhanced CT Images in the Liver.

Radiology Sep 4, 2018
Purpose To develop and validate a deep learning system (DLS) for staging liver fibrosis by using CT images in the liver. Materials and Methods DLS for CT-based staging of liver fibrosis was created by using a development data set that included portal...
Humans Tomography, X-Ray Computed Severity of Illness Index Deep Learning Liver Cirrhosis Contrast Media Liver Radiographic Image Enhancement Female Reproducibility of Results Adult Male Middle Aged
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Robot-assisted gait training to reduce pusher behavior: A randomized controlled trial.

Neurology Aug 31, 2018
OBJECTIVE: To determine the effects of 2 weeks of intensive robot-assisted gait training (RAGT) on pusher behavior compared to nonrobotic physiotherapy (nR-PT).
Aged Male Severity of Illness Index Treatment Outcome Follow-Up Studies Posture Humans Female Therapy, Computer-Assisted Stroke Rehabilitation Perceptual Disorders Cerebral Hemorrhage Robotics Single-Blind Method Gait Brain Ischemia
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Identification of a Novel Clinical Phenotype of Severe Malaria using a Network-Based Clustering Approach.

Scientific reports Aug 27, 2018
The parasite Plasmodium falciparum is the main cause of severe malaria (SM). Despite treatment with antimalarial drugs, more than 400,000 deaths are reported every year, mainly in African children. The diversity of clinical presentations associated w...
Humans Neural Networks, Computer Phenotype Child Biomarkers Plasmodium falciparum Female Malaria Male Anemia Severity of Illness Index Malaria, Falciparum Child, Preschool
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Artificial neural networks help to identify disease subsets and to predict lymphoma in primary Sjögren's syndrome.

Clinical and experimental rheumatology Aug 14, 2018
OBJECTIVES: Primary Sjögren's syndrome (pSS) is a complex chronic systemic disorder, for which specific and effective therapeutic interventions are still lacking. In this era of precision medicine, there is a clear need for a better definition of dis...
Serologic Tests Sjogren's Syndrome Male Middle Aged Disease Progression Severity of Illness Index Prognosis Lymphoma Diagnosis, Computer-Assisted Humans Female Diagnosis, Differential Neural Networks, Computer Reproducibility of Results Predictive Value of Tests Decision Support Techniques Risk Factors Principal Component Analysis Aged Phenotype Autoantibodies Biomarkers Data Mining
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Improved perfusion pattern score association with type 2 diabetes severity using machine learning pipeline: Pilot study.

Journal of magnetic resonance imaging : JMRI Aug 5, 2018
BACKGROUND: Type 2 diabetes mellitus (T2DM) is associated with alterations in the blood-brain barrier, neuronal damage, and arterial stiffness, thus affecting cerebral metabolism and perfusion. There is a need to implement machine-learning methodolog...
Brain Mapping Machine Learning Perfusion Prospective Studies Cognition Disorders Brain Diabetes Mellitus, Type 2 Humans Linear Models Female Aged, 80 and over Imaging, Three-Dimensional Aged Insulin Resistance Cross-Sectional Studies Longitudinal Studies Male Magnetic Resonance Imaging Middle Aged Severity of Illness Index Pilot Projects
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Diagnostic performance of machine-learning-based computed fractional flow reserve (FFR) derived from coronary computed tomography angiography for the assessment of myocardial ischemia verified by invasive FFR.

The international journal of cardiovascular imaging Jul 30, 2018
To explore the diagnostic performance of a machine-learning-based (ML-based) computed fractional flow reserve (cFFR) derived from coronary computed tomography angiography (CCTA) in identifying ischemia-causing lesions verified by invasive FFR in cath...
Coronary Stenosis Fractional Flow Reserve, Myocardial Cardiac Catheters Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Vessels Multidetector Computed Tomography Computed Tomography Angiography Humans Aged, 80 and over Machine Learning Male Retrospective Studies Middle Aged Female Severity of Illness Index Reproducibility of Results Predictive Value of Tests Aged
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Estimating risk of severe neonatal morbidity in preterm births under 32 weeks of gestation.

The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians Jul 18, 2018
A large recent study analyzed the relationship between multiple factors and neonatal outcome and in preterm births. Study variables included the reason for admission, indication for delivery, optimal steroid use, gestational age, and other potential...
Infant, Premature, Diseases Diagnostic Techniques, Obstetrical and Gynecological Infant, Small for Gestational Age Adult Male Risk Assessment Infant Severity of Illness Index Predictive Value of Tests Morbidity Probability Infant Mortality Gestational Age Stillbirth Pregnancy Female Infant, Newborn Premature Birth Risk Factors Humans Machine Learning Prospective Studies Prognosis
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Minimally Invasive Surgical Approach for Posterior Tracheopexy to Treat Severe Tracheomalacia: Lessons Learned from Initial Case Series.

Journal of laparoendoscopic & advanced surgical techniques. Part A Jul 5, 2018
Posterior tracheopexy directly addresses membranous tracheal intrusion in severe tracheomalacia (TM). We have previously reported our experience of posterior tracheopexy through open approach in a large series of patients. This study aimed to review...
Humans Retrospective Studies Female Young Adult Male Infant Severity of Illness Index Adolescent Trachea Tracheomalacia Child, Preschool Child Robotics Thoracic Surgery, Video-Assisted Postoperative Period
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Assessment of the Feasibility of automated, real-time clinical decision support in the emergency department using electronic health record data.

BMC emergency medicine Jul 3, 2018
BACKGROUND: The use of big data and machine learning within clinical decision support systems (CDSSs) has the potential to transform medicine through better prognosis, diagnosis and automation of tasks. Real-time application of machine learning algor...
Racial Groups Reproducibility of Results Risk Factors Male Middle Aged Severity of Illness Index Time Factors Decision Support Systems, Clinical Age Factors Emergency Service, Hospital Documentation Vital Signs Humans Machine Learning Electronic Health Records Female
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Machine learning approaches for predicting disposition of asthma and COPD exacerbations in the ED.

The American journal of emergency medicine Jun 28, 2018
OBJECTIVE: The prediction of emergency department (ED) disposition at triage remains challenging. Machine learning approaches may enhance prediction. We compared the performance of several machine learning approaches for predicting two clinical outco...
Middle Aged Hospitalization Humans Severity of Illness Index Aged Treatment Outcome Machine Learning Adult Triage Female Pulmonary Disease, Chronic Obstructive Emergency Service, Hospital Asthma Male
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