AIMC Topic: 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...
Biomarkers Female Male Severity of Illness Index Gene Expression Profiling Transcriptome Humans Machine Learning ROC Curve 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...
Humans Machine Learning Female Aged Wearable Electronic Devices Aged, 80 and over Fuzzy Logic Male Parkinson Disease Middle Aged Tremor 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 Equipment Design Recurrence Surgery, Computer-Assisted Statistics, Nonparametric Patient Selection Tricuspid Valve Heart Conduction System Cardiac Catheters Reference Values Middle Aged Atrial Flutter Catheter Ablation Risk Assessment Severity of Illness Index Treatment Outcome Follow-Up Studies Robotics
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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...
Boston Patients' Rooms Humans Machine Learning ROC Curve Middle Aged Algorithms Shock, Septic Severity of Illness Index Databases, Factual Area Under Curve Length of Stay Prognosis Retrospective Studies Emergency Service, Hospital Sepsis Intensive Care Units Vital Signs Adolescent Female San Francisco Hospital Mortality Aged Young Adult Adult Male
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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...
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...
Humans Artificial Intelligence Child, Hospitalized Child Machine Learning Intensive Care Units, Pediatric Algorithms ROC Curve Retrospective Studies Models, Statistical Female Health Services Needs and Demand Male Patient Transfer 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 Middle Aged Humans Glomerular Filtration Rate Risk Assessment Survival Analysis Retrospective Studies Follow-Up Studies Disease Progression Drug Therapy, Combination Comorbidity Female Fibrinolytic Agents Confidence Intervals Aged Severity of Illness Index Anti-Arrhythmia Agents Renal Insufficiency Aged, 80 and over Cohort Studies Atrial Fibrillation Proportional Hazards Models Male
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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...
Obesity DNA Gene Expression 8-Hydroxy-2'-Deoxyguanosine Protein Carbonylation Leptin Adiponectin Gestational Age Resistin Pregnancy Trimester, Third Deoxyguanosine Severity of Illness Index Case-Control Studies Oxidative Stress Malondialdehyde Body Mass Index Age Factors Humans Neural Networks, Computer Biomarkers Pregnancy Female 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 Prospective Studies Case-Control Studies Ultrasonography, Doppler Treatment Outcome Prognosis Humans Analysis of Variance Length of Stay Pain Measurement Female Nephrolithotomy, Percutaneous Pain, Postoperative Aged Nerve Block Intraoperative Care Ropivacaine Adult Intercostal Nerves Nephrostomy, Percutaneous Patient Positioning Male Nephrolithiasis Chi-Square Distribution
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