AIMC Topic: Severity of Illness Index

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Wrist Rehabilitation Assisted by an Electromyography-Driven Neuromuscular Electrical Stimulation Robot After Stroke.

Neurorehabilitation and neural repair Dec 30, 2014
BACKGROUND: Augmented physical training with assistance from robot and neuromuscular electrical stimulation (NMES) may introduce intensive motor improvement in chronic stroke.
Stroke Brain Ischemia Shoulder Muscle Contraction Electric Stimulation Therapy Single-Blind Method Wrist Hand Electromyography Stroke Rehabilitation Movement Disorders Middle Aged Severity of Illness Index Treatment Outcome Follow-Up Studies Cerebral Hemorrhage Recovery of Function Chronic Disease Robotics Elbow Humans Female Male
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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...
Telemedicine Survival Analysis Chi-Square Distribution Linear Models Time-to-Treatment Endovascular Procedures Emergency Treatment Follow-Up Studies Robotics Emergencies Thrombolytic Therapy Aged, 80 and over Stroke Severity of Illness Index Adult Time Factors Humans Arizona Male Female Treatment Outcome Middle Aged Aged Risk Assessment
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Quantitative assessment of new MRI-based measurements to differentiate low and high stages of pelvic organ prolapse using support vector machines.

International urogynecology journal Nov 28, 2014
INTRODUCTION AND HYPOTHESIS: The objective of this study was to quantitatively assess the ability of new MRI-based measurements to differentiate low and high stages of pelvic organ prolapse. New measurements representing pelvic structural characteris...
Magnetic Resonance Imaging Middle Aged Pelvic Organ Prolapse Humans Severity of Illness Index Retrospective Studies Models, Theoretical Support Vector Machine Female Aged Adult
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Mortality prediction in intensive care units with the Super ICU Learner Algorithm (SICULA): a population-based study.

The Lancet. Respiratory medicine Nov 24, 2014
BACKGROUND: Improved mortality prediction for patients in intensive care units is a big challenge. Many severity scores have been proposed, but findings of validation studies have shown that they are not adequately calibrated. The Super ICU Learner A...
Middle Aged Humans Female Severity of Illness Index Risk Reproducibility of Results Hospital Mortality Machine Learning Boston Aged ROC Curve Algorithms Aged, 80 and over Intensive Care Units Male
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Mortality prediction in ICU: a methodological advance.

The Lancet. Respiratory medicine Nov 24, 2014
Female Male Severity of Illness Index Hospital Mortality Humans Machine Learning Intensive Care Units
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Machine learning algorithms and forced oscillation measurements to categorise the airway obstruction severity in chronic obstructive pulmonary disease.

Computer methods and programs in biomedicine Nov 22, 2014
The purpose of this study was to develop automatic classifiers to simplify the clinical use and increase the accuracy of the forced oscillation technique (FOT) in the categorisation of airway obstruction level in patients with chronic obstructive pul...
Humans Artificial Intelligence Algorithms Pulmonary Disease, Chronic Obstructive Severity of Illness Index Case-Control Studies
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Robot-assisted gait training is not superior to balance training for improving postural instability in patients with mild to moderate Parkinson's disease: a single-blind randomized controlled trial.

Clinical rehabilitation Jul 31, 2014
OBJECTIVE: The main aim was to compare robotic gait training vs. balance training for reducing postural instability in patients with Parkinson's disease. The secondary aim was to compare their effects on the level of confidence during activities of d...
Humans Female Gait Exercise Therapy Parkinson Disease Aged Activities of Daily Living Robotics Male Outcome Assessment, Health Care Postural Balance Middle Aged Single-Blind Method Severity of Illness Index Self Concept
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Identifying Neuroimaging Markers of Motor Disability in Acute Stroke by Machine Learning Techniques.

Cerebral cortex (New York, N.Y. : 1991) May 16, 2014
Conventional mass-univariate analyses have been previously used to test for group differences in neural signals. However, machine learning algorithms represent a multivariate decoding approach that may help to identify neuroimaging patterns associate...
Brain Female Aged Aged, 80 and over Male Humans Machine Learning Disability Evaluation Movement Disorders Middle Aged Stroke Severity of Illness Index Rest Image Processing, Computer-Assisted Neuroimaging Brain Mapping Neural Pathways
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Decoding chronic stress: From behavioral-molecular dynamics in mice to clinical implications of cortisol and IL-17 in depression severity.

Journal of affective disorders Sep 15, 2025
BACKGROUNDS: The etiology of depression involves chronic stress, a recognized determinant of onset and severity. This study adopts a translational approach, utilizing a mouse model and a clinical cohort to explore the relationship between chronic str...
Mice Disease Models, Animal Mice, Inbred C57BL Chronic Disease Hydrocortisone Severity of Illness Index Depression Stress, Psychological Humans Interleukin-17 Machine Learning Biomarkers Female Adult Animals Male Middle Aged
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Two-stage ensemble learning framework for automated classification of keratoconus severity.

Computers in biology and medicine Sep 1, 2025
BACKGROUND AND OBJECTIVE: Accurate staging of keratoconus (KC) is crucial for timely intervention and improving patient quality of life. Unlike prior studies that relied on traditional base machine learning (ML) models, this paper proposes a more adv...
Male Severity of Illness Index Support Vector Machine Keratoconus Ensemble Learning Humans Machine Learning Female Adult
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