Severity of Illness Index

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Transcriptomics and machine learning predict diagnosis and severity of growth hormone deficiency.

JCI insight Apr 5, 2018
BACKGROUND: The effect of gene expression data on diagnosis remains limited. Here, we show how diagnosis and classification of growth hormone deficiency (GHD) can be achieved from a single blood sample using a combination of transcriptomics and rando...
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Biomarkers Female Male Severity of Illness Index Gene Expression Profiling Transcriptome Humans ROC Curve Machine Learning Gene Regulatory Networks Polymorphism, Single Nucleotide Predictive Value of Tests Principal Component Analysis Healthy Volunteers Datasets as Topic Case-Control Studies Adolescent Human Growth Hormone Growth Disorders Child, Preschool Child
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Rest tremor quantification based on fuzzy inference systems and wearable sensors.

International journal of medical informatics Mar 11, 2018
BACKGROUND: Currently the most consistent, widely accepted and detailed instrument to rate Parkinson's disease (PD) is the Movement Disorder Society sponsored Unified Parkinson Disease Rating Scale (MDS-UPDRS). However, the motor examination is based...
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Wearable Electronic Devices Humans Fuzzy Logic Machine Learning Parkinson Disease Female Tremor Aged Aged, 80 and over Male Middle Aged Severity of Illness Index
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Randomized controlled trial of Amigo® robotically controlled versus manually controlled ablation of the cavo-tricuspid isthmus using a contact force ablation catheter.

Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing Feb 12, 2018
BACKGROUND: Radiofrequency catheter ablation (RFCA) of the cavo-tricuspid isthmus (CTI) is a common treatment for atrial flutter (AFL). However, achieving bi-directional CTI conduction block may be difficult, partly due to catheter instability.
Humans Prospective Studies Female Aged Survival Rate Male Recurrence Statistics, Nonparametric Tricuspid Valve Cardiac Catheters Atrial Flutter Middle Aged Equipment Design Risk Assessment Severity of Illness Index Treatment Outcome Follow-Up Studies Robotics Surgery, Computer-Assisted Patient Selection Heart Conduction System Reference Values Catheter Ablation
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Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU.

BMJ open Jan 26, 2018
OBJECTIVES: We validate a machine learning-based sepsis-prediction algorithm () for the detection and prediction of three sepsis-related gold standards, using only six vital signs. We evaluate robustness to missing data, customisation to site-specifi...
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Boston Patients' Rooms ROC Curve Shock, Septic Area Under Curve Emergency Service, Hospital Middle Aged Vital Signs Severity of Illness Index Humans Retrospective Studies Intensive Care Units Female Aged Young Adult Adult Male San Francisco Machine Learning Algorithms Databases, Factual Prognosis Length of Stay Sepsis Adolescent Hospital Mortality
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Integrated prediction of lesion-specific ischaemia from quantitative coronary CT angiography using machine learning: a multicentre study.

European radiology Jan 19, 2018
OBJECTIVES: We aimed to investigate if lesion-specific ischaemia by invasive fractional flow reserve (FFR) can be predicted by an integrated machine learning (ML) ischaemia risk score from quantitative plaque measures from coronary computed tomograph...
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Fractional Flow Reserve, Myocardial Coronary Artery Disease Myocardial Ischemia Plaque, Atherosclerotic Vascular Calcification Computed Tomography Angiography Coronary Stenosis Humans Machine Learning Female Aged Aged, 80 and over Adult Male Middle Aged Severity of Illness Index Hemodynamics Coronary Angiography
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Harnessing electronic medical records to advance research on multiple sclerosis.

Multiple sclerosis (Houndmills, Basingstoke, England) Jan 9, 2018
BACKGROUND: Electronic medical records (EMR) data are increasingly used in research, but no studies have yet evaluated similarity between EMR and research-quality data and between characteristics of an EMR multiple sclerosis (MS) population and known...
Humans Electronic Health Records Female Adult Biomedical Research Information Storage and Retrieval Male Middle Aged Severity of Illness Index Natural Language Processing Multiple Sclerosis Academic Medical Centers
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An ensemble boosting model for predicting transfer to the pediatric intensive care unit.

International journal of medical informatics Jan 9, 2018
BACKGROUND: Early deterioration indicators have the potential to alert hospital care staff in advance of adverse events, such as patients requiring an increased level of care, or the need for rapid response teams to be called. Our work focuses on the...
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Humans Artificial Intelligence Child Child, Hospitalized Intensive Care Units, Pediatric Machine Learning ROC Curve Models, Statistical Algorithms Health Services Needs and Demand Retrospective Studies Patient Transfer Female Male Severity of Illness Index
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Changes in glomerular filtration rate and outcomes in patients with atrial fibrillation.

American heart journal Dec 30, 2017
BACKGROUND: Patients with kidney disease are more likely to develop atrial fibrillation (AF) than individuals with normal renal function, and more likely to suffer ischemic stroke (IS)/thromboembolism (TE). We investigated the relationship of kidney ...
Treatment Outcome Survival Analysis Humans Middle Aged Drug Therapy, Combination Glomerular Filtration Rate Retrospective Studies Confidence Intervals Risk Assessment Follow-Up Studies Female Renal Insufficiency Disease Progression Fibrinolytic Agents Aged Proportional Hazards Models Comorbidity Anti-Arrhythmia Agents Aged, 80 and over Severity of Illness Index Male Atrial Fibrillation Cohort Studies
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Key Clinical Factors Predicting Adipokine and Oxidative Stress Marker Concentrations among Normal, Overweight and Obese Pregnant Women Using Artificial Neural Networks.

International journal of molecular sciences Dec 28, 2017
Maternal obesity has been related to adverse neonatal outcomes and fetal programming. Oxidative stress and adipokines are potential biomarkers in such pregnancies; thus, the measurement of these molecules has been considered critical. Therefore, we d...
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Obesity DNA Gene Expression 8-Hydroxy-2'-Deoxyguanosine Protein Carbonylation Leptin Adiponectin Gestational Age Resistin Pregnancy Trimester, Third Deoxyguanosine Severity of Illness Index Humans Case-Control Studies Neural Networks, Computer Oxidative Stress Biomarkers Malondialdehyde Pregnancy Body Mass Index Female Age Factors Adult
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Effect of Intercostal Nerve Block and Nephrostomy Tract Infiltration With Ropivacaine on Postoperative Pain Control After Tubeless Percutaneous Nephrolithotomy: A Prospective, Randomized, and Case-controlled Trial.

Urology Dec 27, 2017
OBJECTIVE: To determine the efficacy of intercostal nerve block and nephrostomy tract infiltration (NTI) with ropivacaine in patients undergoing tubeless percutaneous nephrolithotomy (TPCNL).
Middle Aged Risk Assessment Severity of Illness Index Case-Control Studies Ultrasonography, Doppler Humans Prospective Studies Length of Stay Analysis of Variance Prognosis Nerve Block Nephrolithotomy, Percutaneous Treatment Outcome Female Intraoperative Care Aged Pain Measurement Intercostal Nerves Adult Pain, Postoperative Nephrostomy, Percutaneous Male Ropivacaine Patient Positioning Nephrolithiasis Chi-Square Distribution
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