AIMC Topic: Severity of Illness Index

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Automated assessment of levodopa-induced dyskinesia: Evaluating the responsiveness of video-based features.

Parkinsonism & related disorders May 5, 2018
INTRODUCTION: Technological solutions for quantifying Parkinson's disease (PD) symptoms may provide an objective means to track response to treatment, including side effects such as levodopa-induced dyskinesia. Vision-based systems are advantageous a...
Female Aged Sensitivity and Specificity Biomechanical Phenomena Male Humans Video Recording Middle Aged Image Interpretation, Computer-Assisted Severity of Illness Index Antiparkinson Agents Deep Learning Parkinson Disease Levodopa Patient Reported Outcome Measures Dyskinesia, Drug-Induced
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Machine learning in cardiac CT: Basic concepts and contemporary data.

Journal of cardiovascular computed tomography Apr 30, 2018
Propelled by the synergy of the groundbreaking advancements in the ability to analyze high-dimensional datasets and the increasing availability of imaging and clinical data, machine learning (ML) is poised to transform the practice of cardiovascular ...
Computed Tomography Angiography Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Coronary Vessels Prognosis Humans Vascular Calcification Reproducibility of Results Machine Learning Severity of Illness Index Algorithms Predictive Value of Tests
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Maximization of the usage of coronary CTA derived plaque information using a machine learning based algorithm to improve risk stratification; insights from the CONFIRM registry.

Journal of cardiovascular computed tomography Apr 30, 2018
INTRODUCTION: Machine learning (ML) is a field in computer science that demonstrated to effectively integrate clinical and imaging data for the creation of prognostic scores. The current study investigated whether a ML score, incorporating only the 1...
Humans Machine Learning Algorithms Prognosis Female Reproducibility of Results Risk Factors Aged Male Registries Middle Aged Coronary Artery Disease ROC Curve Plaque, Atherosclerotic Risk Assessment Myocardial Infarction Predictive Value of Tests Severity of Illness Index Computed Tomography Angiography Coronary Vessels Area Under Curve Time Factors Coronary Stenosis Coronary Angiography Multidetector Computed Tomography Radiographic Image Interpretation, Computer-Assisted
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An intelligent algorithm for identification of optimum mix of demographic features for trust in medical centers in Iran.

Artificial intelligence in medicine Apr 26, 2018
Healthcare quality is affected by various factors including trust. Patients' trust to healthcare providers is one of the most important factors for treatment outcomes. The presented study identifies optimum mixture of patient demographic features wit...
Patients Uncertainty Patient Acceptance of Health Care Severity of Illness Index Surveys and Questionnaires Adult Adolescent Male Socioeconomic Factors Trust Age Factors Humans Middle Aged Fuzzy Logic Delivery of Health Care Female Hospitals Models, Statistical Reproducibility of Results Physician-Patient Relations Educational Status Iran Young Adult Income
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A morphometric signature of depressive symptoms in unmedicated patients with mood disorders.

Acta psychiatrica Scandinavica Apr 22, 2018
OBJECTIVE: A growing literature indicates that unipolar depression and bipolar depression are associated with alterations in grey matter volume. However, it is unclear to what degree these patterns of morphometric change reflect symptom dimensions. H...
Machine Learning Female Young Adult Adult Male Humans Cerebral Cortex Depressive Disorder, Major Severity of Illness Index Bipolar Disorder Magnetic Resonance Imaging Gray Matter
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Towards precision informatics of pharmacovigilance: OAE-CTCAE mapping and OAE-based representation and analysis of adverse events in patients treated with cancer drugs.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
A critical issue in the usage of cancer drugs is its association with various adverse events (AEs) in some, but not all, patients. The National Cancer Institute (NCI) Common Terminology Criteria for Adverse Events (CTCAE) is a controlled terminology ...
Drug-Related Side Effects and Adverse Reactions Humans Pharmacovigilance Neoplasms Antineoplastic Agents Severity of Illness Index Medical Informatics Semantics Biological Ontologies
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Does Cognitive Impairment and Agitation in Dementia Influence Intervention Effectiveness? Findings From a Cluster-Randomized-Controlled Trial With the Therapeutic Robot, PARO.

Journal of the American Medical Directors Association Apr 13, 2018
OBJECTIVES: To explore whether severity of cognitive impairment and agitation of older people with dementia predict outcomes in engagement, mood states, and agitation after a 10-week intervention with the robotic seal, PARO.
Humans Female Aged, 80 and over Male Linear Models Severity of Illness Index Psychomotor Agitation Cognitive Dysfunction Play and Playthings Dementia Robotics
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Using artificial intelligence to predict prolonged mechanical ventilation and tracheostomy placement.

The Journal of surgical research Apr 11, 2018
BACKGROUND: Early identification of critically ill patients who will require prolonged mechanical ventilation (PMV) has proven to be difficult. The purpose of this study was to use machine learning to identify patients at risk for PMV and tracheostom...
Intensive Care Units Risk Assessment Critical Care Time Factors Respiration, Artificial Tracheostomy Humans Treatment Outcome Decision Support Techniques Severity of Illness Index Feasibility Studies Databases, Factual Length of Stay Supervised Machine Learning Critical Illness Patient Selection
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A Deep Learning Algorithm for Prediction of Age-Related Eye Disease Study Severity Scale for Age-Related Macular Degeneration from Color Fundus Photography.

Ophthalmology Apr 10, 2018
PURPOSE: Age-related macular degeneration (AMD) is a common threat to vision. While classification of disease stages is critical to understanding disease risk and progression, several systems based on color fundus photographs are known. Most of these...
Diagnostic Techniques, Ophthalmological Macula Lutea Photography Female Reproducibility of Results Aged Cross-Sectional Studies Male Humans Middle Aged Algorithms Severity of Illness Index Deep Learning Fundus Oculi Macular Degeneration
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Evaluation of Machine-Learning Approaches to Estimate Sleep Apnea Severity From At-Home Oximetry Recordings.

IEEE journal of biomedical and health informatics Apr 5, 2018
Complexity, costs, and waiting list issues demand a simplified alternative for sleep apnea-hypopnea syndrome (SAHS) diagnosis. The blood oxygen saturation signal (SpO) carries useful information about SAHS and can be easily acquired from overnight ox...
Humans Neural Networks, Computer Machine Learning Adult Severity of Illness Index Signal Processing, Computer-Assisted Sleep Apnea Syndromes Oximetry Home Care Services
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