AIMC Topic: Outcome Assessment, Health Care

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Predictive Models of Long-Term Outcome in Patients with Moderate to Severe Traumatic Brain Injury are Biased Toward Mortality Prediction.

Neurocritical care Aug 13, 2024
BACKGROUND: The prognostication of long-term functional outcomes remains challenging in patients with traumatic brain injury (TBI). Our aim was to demonstrate that intensive care unit (ICU) variables are not efficient to predict 6-month functional ou...
Machine Learning Prognosis Intensive Care Units Female Humans Outcome Assessment, Health Care Glasgow Outcome Scale Adult Male Middle Aged Brain Injuries, Traumatic
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Phenotypes of Patients with Intracerebral Hemorrhage, Complications, and Outcomes.

Neurocritical care Aug 6, 2024
BACKGROUND: The objective of this study was to define clinically meaningful phenotypes of intracerebral hemorrhage (ICH) using machine learning.
Humans Phenotype Hematoma Machine Learning Middle Aged Female Glasgow Coma Scale Cerebral Hemorrhage Aged Seizures Male Outcome Assessment, Health Care
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Outcome risk model development for heterogeneity of treatment effect analyses: a comparison of non-parametric machine learning methods and semi-parametric statistical methods.

BMC medical research methodology Jul 23, 2024
BACKGROUND: In randomized clinical trials, treatment effects may vary, and this possibility is referred to as heterogeneity of treatment effect (HTE). One way to quantify HTE is to partition participants into subgroups based on individual's risk of e...
Treatment Outcome Models, Statistical Decision Trees Randomized Controlled Trials as Topic Aged Male Risk Assessment United States Outcome Assessment, Health Care Aspirin Proportional Hazards Models Humans Machine Learning Female
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Surface electromyography vs clinical outcome measures after robot-assisted gait training in patients with spinal cord injury after post-acute phase of rehabilitation.

Annals of agricultural and environmental medicine : AAEM Jul 8, 2024
INTRODUCTION AND OBJECTIVE: Surface electromyography (sEMG) measurements are a valid method for sublesional muscle activity following spinal cord injury (SCI). In the literature there are few reports evaluating the effect of robotic assisted gait tra...
Electromyography Gait Exercise Therapy Outcome Assessment, Health Care Spinal Cord Injuries Middle Aged Treatment Outcome Muscle, Skeletal Humans Robotics Young Adult Female Adult Male
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Study of machine learning techniques for outcome assessment of leptospirosis patients.

Scientific reports Jun 17, 2024
Leptospirosis is a global disease that impacts people worldwide, particularly in humid and tropical regions, and is associated with significant socio-economic deficiencies. Its symptoms are often confused with other syndromes, which can compromise cl...
Humans Machine Learning Algorithms Female Adult Male Brazil Decision Trees Leptospirosis Outcome Assessment, Health Care
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Video-based assessments of activities of daily living: generating real-world evidence in pediatric rare diseases.

Expert review of pharmacoeconomics & outcomes research Jun 7, 2024
INTRODUCTION: Preserving function and independence to perform activities of daily living (ADL) is critical for patients and carers to manage the burden of care and improve quality of life. In children living with rare diseases, video recording ADLs o...
Mobile Applications Treatment Outcome Activities of Daily Living Outcome Assessment, Health Care Video Recording Rare Diseases Artificial Intelligence Humans Quality of Life Child Smartphone
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Task-Oriented Training by a Personalized Electromyography-Driven Soft Robotic Hand in Chronic Stroke: A Randomized Controlled Trial.

Neurorehabilitation and neural repair May 29, 2024
BACKGROUND: Intensive task-oriented training has shown promise in enhancing distal motor function among patients with chronic stroke. A personalized electromyography (EMG)-driven soft robotic hand was developed to assist task-oriented object-manipula...
Middle Aged Female Exercise Therapy Single-Blind Method Hand Strength Outcome Assessment, Health Care Hand Humans Aged Range of Motion, Articular Chronic Disease Electromyography Adult Stroke Robotics Stroke Rehabilitation Male
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A predictive study of the efficacy of transcutaneous auricular vagus nerve stimulation in the treatment of major depressive disorder: An fMRI-based machine learning analysis.

Asian journal of psychiatry May 28, 2024
BACKGROUND: In order to improve taVNS efficacy, the usage of fMRI to explore the predictive neuroimaging markers would be beneficial for screening the appropriate MDD population before treatment.
Middle Aged Female Outcome Assessment, Health Care Humans Young Adult Transcutaneous Electric Nerve Stimulation Depressive Disorder, Major Machine Learning Adult Vagus Nerve Stimulation Treatment Outcome Brain Male Magnetic Resonance Imaging
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Oral ketamine effects on dynamics of functional network connectivity in patients treated for chronic suicidality.

European archives of psychiatry and clinical neuroscience May 21, 2024
The underlying brain mechanisms of ketamine in treating chronic suicidality and the characteristics of patients who will benefit from ketamine treatment remain unclear. To address these gaps, we investigated temporal variations of brain functional sy...
Female Adult Male Middle Aged Humans Brain Administration, Oral Outcome Assessment, Health Care Connectome Nerve Net Suicidal Ideation Follow-Up Studies Magnetic Resonance Imaging Ketamine
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Machine learning models for abstract screening task - A systematic literature review application for health economics and outcome research.

BMC medical research methodology May 9, 2024
OBJECTIVE: Systematic literature reviews (SLRs) are critical for life-science research. However, the manual selection and retrieval of relevant publications can be a time-consuming process. This study aims to (1) develop two disease-specific annotate...
Abstracting and Indexing Deep Learning Papillomavirus Infections Outcome Assessment, Health Care Economics, Medical Humans Machine Learning Algorithms
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