AIMC Topic: Severity of Illness Index

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Machine Learning Analysis of Blood microRNA Data in Major Depression: A Case-Control Study for Biomarker Discovery.

The international journal of neuropsychopharmacology Nov 26, 2020
BACKGROUND: There is a lack of reliable biomarkers for major depressive disorder (MDD) in clinical practice. However, several studies have shown an association between alterations in microRNA levels and MDD, albeit none of them has taken advantage of...
Humans Biomarkers Depressive Disorder, Major Severity of Illness Index Predictive Value of Tests Supervised Machine Learning Affect Antidepressive Agents Circulating MicroRNA Case-Control Studies RNA-Seq Treatment Outcome Unsupervised Machine Learning
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Patient Coded Severity and Payment Penalties Under the Hospital Readmissions Reduction Program: A Machine Learning Approach.

Medical care Nov 1, 2020
OBJECTIVE: The objective of this study was to examine variation in hospital responses to the Centers for Medicare and Medicaid's expansion of allowable secondary diagnoses in January 2011 and its association with financial penalties under the Hospita...
United States Medicare Patient Readmission Clinical Coding Humans Machine Learning Policy Severity of Illness Index Diagnosis-Related Groups Centers for Medicare and Medicaid Services, U.S. Insurance Claim Review Hospital Bed Capacity
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A Novel Machine Learning-derived Radiomic Signature of the Whole Lung Differentiates Stable From Progressive COVID-19 Infection: A Retrospective Cohort Study.

Journal of thoracic imaging Nov 1, 2020
OBJECTIVE: This study aimed to use the radiomics signatures of a machine learning-based tool to evaluate the prognosis of patients with coronavirus disease 2019 (COVID-19) infection.
Lung Severity of Illness Index Diagnosis, Differential Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Female Reproducibility of Results SARS-CoV-2 Humans Sensitivity and Specificity Machine Learning Male COVID-19 Middle Aged Retrospective Studies Disease Progression
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Robot-assisted training compared with an enhanced upper limb therapy programme and with usual care for upper limb functional limitation after stroke: the RATULS three-group RCT.

Health technology assessment (Winchester, England) Oct 1, 2020
BACKGROUND: Loss of arm function is common after stroke. Robot-assisted training may improve arm outcomes.
Technology Assessment, Biomedical United Kingdom State Medicine Upper Extremity Stroke Rehabilitation Activities of Daily Living Cost-Benefit Analysis Models, Economic Quality-Adjusted Life Years Humans Severity of Illness Index Female Recovery of Function Robotics Male Single-Blind Method Aged Middle Aged Adult Quality of Life
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A Time-Phased Machine Learning Model for Real-Time Prediction of Sepsis in Critical Care.

Critical care medicine Oct 1, 2020
OBJECTIVES: As a life-threatening condition, sepsis is one of the major public health issues worldwide. Early prediction can improve sepsis outcomes with appropriate interventions. With the PhysioNet/Computing in Cardiology Challenge 2019, we aimed t...
Time Factors Critical Care Early Diagnosis Vital Signs Intensive Care Units Reproducibility of Results Severity of Illness Index Sepsis Humans Machine Learning Retrospective Studies
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Situating Artificial Intelligence in Surgery: A Focus on Disease Severity.

Annals of surgery Sep 1, 2020
OBJECTIVES: Artificial intelligence (AI) has numerous applications in surgical quality assurance. We assessed AI accuracy in evaluating the critical view of safety (CVS) and intraoperative events during laparoscopic cholecystectomy. We hypothesized t...
Humans Severity of Illness Index Artificial Intelligence Video Recording Retrospective Studies Cholecystectomy, Laparoscopic Reproducibility of Results
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Clinically Applicable Deep Learning Framework for Measurement of the Extent of Hair Loss in Patients With Alopecia Areata.

JAMA dermatology Sep 1, 2020
This study aims to develop a deep learning framework to determine the Severity of Alopecia Tool (SALT) score for measurement of hair loss in patients with alopecia areata.
Hair Photography Scalp Alopecia Areata Prognosis Severity of Illness Index Deep Learning Image Processing, Computer-Assisted Humans
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Leveraging Machine Learning to Identify Predictors of Receiving Psychosocial Treatment for Attention Deficit/Hyperactivity Disorder.

Administration and policy in mental health Sep 1, 2020
This study aimed to identify factors associated with receiving psychosocial treatment for ADHD in a nationally representative sample. Participants were 6630 youth with a parent-reported diagnosis of ADHD from the 2016-2017 National Survey of Children...
Attention Deficit Disorder with Hyperactivity Humans Patient Acceptance of Health Care Child, Preschool Machine Learning Child Female ROC Curve Male Risk Factors Socioeconomic Factors Comorbidity Severity of Illness Index Adolescent
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An Automated Algorithm Incorporating Poincaré Analysis Can Quantify the Severity of Opioid-Induced Ataxic Breathing.

Anesthesia and analgesia May 1, 2020
BACKGROUND: Opioid-induced respiratory depression (OIRD) is traditionally recognized by assessment of respiratory rate, arterial oxygen saturation, end-tidal CO2, and mental status. Although an irregular or ataxic breathing pattern is widely recogniz...
Analgesics, Opioid Respiratory Insufficiency Respiratory Rate Female Adult Humans Male Machine Learning Severity of Illness Index Algorithms
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Artificial Intelligence-based Fully Automated Per Lobe Segmentation and Emphysema-quantification Based on Chest Computed Tomography Compared With Global Initiative for Chronic Obstructive Lung Disease Severity of Smokers.

Journal of thoracic imaging May 1, 2020
OBJECTIVES: The objective of this study was to evaluate an artificial intelligence (AI)-based prototype algorithm for the fully automated per lobe segmentation and emphysema quantification (EQ) on chest-computed tomography as it compares to the Globa...
Severity of Illness Index Radiographic Image Interpretation, Computer-Assisted Pulmonary Emphysema Radiography, Thoracic Pulmonary Disease, Chronic Obstructive Artificial Intelligence Aged Humans Male Retrospective Studies Aged, 80 and over Middle Aged Tomography, X-Ray Computed Smokers Young Adult Lung Female Adult
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