AIMC Topic: Severity of Illness Index

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Applications of Artificial Intelligence for Retinopathy of Prematurity Screening.

Pediatrics Mar 1, 2021
OBJECTIVES: Childhood blindness from retinopathy of prematurity (ROP) is increasing as a result of improvements in neonatal care worldwide. We evaluate the effectiveness of artificial intelligence (AI)-based screening in an Indian ROP telemedicine pr...
Humans Artificial Intelligence Retrospective Studies Female Infant, Newborn Oxygen Telemedicine Linear Models Gestational Age Retinopathy of Prematurity Hospital Units Sensitivity and Specificity Male Severity of Illness Index ROC Curve India
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The Auto-eFACE: Machine Learning-Enhanced Program Yields Automated Facial Palsy Assessment Tool.

Plastic and reconstructive surgery Feb 1, 2021
BACKGROUND: Facial palsy assessment is nonstandardized. Clinician-graded scales are limited by subjectivity and observer bias. Computer-aided grading would be desirable to achieve conformity in facial palsy assessment and to compare the effectiveness...
Adult Male Middle Aged Severity of Illness Index Diagnosis, Computer-Assisted Disability Evaluation Software Female Aged Aged, 80 and over Young Adult Photography Synkinesis Feasibility Studies Facial Paralysis Datasets as Topic Face Facial Asymmetry Humans Machine Learning
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Low Predictability of Readmissions and Death Using Machine Learning in Cirrhosis.

The American journal of gastroenterology Feb 1, 2021
INTRODUCTION: Readmission and death in cirrhosis are common, expensive, and difficult to predict. Our aim was to evaluate the abilities of multiple artificial intelligence (AI) techniques to predict clinical outcomes based on variables collected at a...
Humans Machine Learning Anti-Bacterial Agents Female Rifaximin Hydrothorax Lactulose Ascites Cohort Studies Reproducibility of Results Gastrointestinal Hemorrhage beta-Lactams ROC Curve Gastrointestinal Agents Proton Pump Inhibitors Aged Adrenergic beta-Antagonists Logistic Models Water-Electrolyte Imbalance Infections Clinical Decision Rules Male Patient Readmission Liver Cirrhosis Hepatic Encephalopathy End Stage Liver Disease Middle Aged Support Vector Machine Paracentesis Severity of Illness Index Kidney Diseases Mortality
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Development of a Complication- and Treatment-Aware Prediction Model for Favorable Functional Outcome in Aneurysmal Subarachnoid Hemorrhage Based on Machine Learning.

Neurosurgery Jan 13, 2021
BACKGROUND: Current prognostic tools in aneurysmal subarachnoid hemorrhage (aSAH) are constrained by being primarily based on patient and disease characteristics on admission.
Switzerland Subarachnoid Hemorrhage Machine Learning Prognosis Humans Middle Aged Female Severity of Illness Index Aged Cohort Studies Adult Models, Theoretical Longitudinal Studies Recovery of Function
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Relevance of Complaint Severity in Predicting the Progression of Subjective Cognitive Decline and Mild Cognitive Impairment: A Machine Learning Approach.

Journal of Alzheimer's disease : JAD Jan 1, 2021
BACKGROUND: The presence of subjective cognitive complaints (SCCs) is a core criterion for diagnosis of subjective cognitive decline (SCD); however, no standard procedure for distinguishing normative and non-normative SCCs has yet been established.
Machine Learning Female Aged Disease Progression Aged, 80 and over Diagnostic Self Evaluation Severity of Illness Index Male Humans Cognitive Dysfunction Middle Aged Follow-Up Studies Predictive Value of Tests
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Temporal changes of quantitative CT findings from 102 patients with COVID-19 in Wuhan, China: A longitudinal study.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2021
BACKGROUND: Computed tomography (CT) imaging combined with artificial intelligence is important in the diagnosis and prognosis of lung diseases.
Tomography, X-Ray Computed Female SARS-CoV-2 Aged Aged, 80 and over Adult Male Middle Aged Disease Progression Lung Comorbidity Humans Artificial Intelligence COVID-19 Prognosis Retrospective Studies Severity of Illness Index China Time Factors
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Video-Based Analyses of Parkinson's Disease Severity: A Brief Review.

Journal of Parkinson's disease Jan 1, 2021
Remote and objective assessment of the motor symptoms of Parkinson's disease is an area of great interest particularly since the COVID-19 crisis emerged. In this paper, we focus on a) the challenges of assessing motor severity via videos and b) the u...
Severity of Illness Index Parkinson Disease Humans Telemedicine Artificial Intelligence Video Recording Movement
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Determination of disease severity in COVID-19 patients using deep learning in chest X-ray images.

Diagnostic and interventional radiology (Ankara, Turkey) Jan 1, 2021
PURPOSE: Chest X-ray plays a key role in diagnosis and management of COVID-19 patients and imaging features associated with clinical elements may assist with the development or validation of automated image analysis tools. We aimed to identify associ...
Comorbidity Severity of Illness Index Deep Learning Age Factors Italy Radiologists Feasibility Studies Female Radiography, Thoracic SARS-CoV-2 Thorax Aged Adult Male Middle Aged Humans COVID-19 Retrospective Studies
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Machine-learning prediction of unplanned 30-day rehospitalization using the French hospital medico-administrative database.

Medicine Dec 4, 2020
Predicting unplanned rehospitalizations has traditionally employed logistic regression models. Machine learning (ML) methods have been introduced in health service research and may improve the prediction of health outcomes. The objective of this work...
Severity of Illness Index ROC Curve Humans Algorithms Machine Learning Socioeconomic Factors Tertiary Care Centers Health Status Sex Factors Retrospective Studies Age Factors Patient Readmission Female Emergency Service, Hospital France Male Comorbidity
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Predicting Secukinumab Fast-Responder Profile in Psoriatic Patients: Advanced Application of Artificial-Neural-Networks (ANNs).

Journal of drugs in dermatology : JDD Dec 1, 2020
BACKGROUND: Drug resistance to biologics in psoriasis therapy can occur – it may be acquired during a treatment or else present itself from the beginning. To date, no biomarkers are known that may reliably guide clinicians in predicting respons...
Time Factors Biological Products Adult Humans Predictive Value of Tests Injections, Subcutaneous Male Prospective Studies Drug Resistance Middle Aged Treatment Outcome Biomarkers Severity of Illness Index Antibodies, Monoclonal, Humanized Models, Immunological Prognosis Deep Learning Psoriasis Female Pilot Projects
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