AIMC Topic: Area Under Curve

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Machine learning algorithm to predict mortality in patients undergoing continuous renal replacement therapy.

Critical care (London, England) Feb 6, 2020
BACKGROUND: Previous scoring models such as the Acute Physiologic Assessment and Chronic Health Evaluation II (APACHE II) and the Sequential Organ Failure Assessment (SOFA) scoring systems do not adequately predict mortality of patients undergoing co...
Continuous Renal Replacement Therapy Mortality Acute Kidney Injury Republic of Korea Female ROC Curve Risk Factors Area Under Curve APACHE Aged Humans Organ Dysfunction Scores Aged, 80 and over Machine Learning Male Algorithms Middle Aged Severity of Illness Index
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DeepCPI: A Deep Learning-based Framework for Large-scale in silico Drug Screening.

Genomics, proteomics & bioinformatics Feb 6, 2020
Accurate identification of compound-protein interactions (CPIs) in silico may deepen our understanding of the underlying mechanisms of drug action and thus remarkably facilitate drug discovery and development. Conventional similarity- or docking-base...
Area Under Curve Pharmaceutical Preparations Databases, Chemical Deep Learning User-Computer Interface ROC Curve Proteins
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Prospective and External Evaluation of a Machine Learning Model to Predict In-Hospital Mortality of Adults at Time of Admission.

JAMA network open Feb 5, 2020
IMPORTANCE: The ability to accurately predict in-hospital mortality for patients at the time of admission could improve clinical and operational decision-making and outcomes. Few of the machine learning models that have been developed to predict in-h...
Humans Machine Learning Forecasting Prospective Studies Prognosis Aged, 80 and over Adult Male Middle Aged Risk Assessment Retrospective Studies Electronic Health Records Female Hospitalization Aged Models, Biological Hospitals Hospitals, Teaching Hospital Mortality ROC Curve Area Under Curve
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Machine learning for syndromic surveillance using veterinary necropsy reports.

PloS one Feb 5, 2020
The use of natural language data for animal population surveillance represents a valuable opportunity to gather information about potential disease outbreaks, emerging zoonotic diseases, or bioterrorism threats. In this study, we evaluate machine lea...
Supervised Machine Learning Gastrointestinal Diseases Urologic Diseases ROC Curve Logistic Models Area Under Curve Lung Diseases Machine Learning Animals Deep Learning
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Using artificial intelligence (AI) to predict postoperative surgical site infection: A retrospective cohort of 4046 posterior spinal fusions.

Clinical neurology and neurosurgery Feb 3, 2020
OBJECTIVES: Machine Learning and Artificial Intelligence (AI) are rapidly growing in capability and increasingly applied to model outcomes and complications within medicine. In spinal surgery, post-operative surgical site infections (SSIs) are a rare...
Area Under Curve Spinal Fusion Surgical Wound Infection Clinical Decision Rules Machine Learning Retrospective Studies Female Male Middle Aged Comorbidity Deep Learning Cohort Studies ROC Curve Humans Neural Networks, Computer Artificial Intelligence
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User-controlled pipelines for feature integration and head and neck radiation therapy outcome predictions.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Feb 2, 2020
PURPOSE: Precision cancer medicine is dependent on accurate prediction of disease and treatment outcome, requiring integration of clinical, imaging and interventional knowledge. User controlled pipelines are capable of feature integration with varied...
Humans Machine Learning Databases, Factual Prognosis Area Under Curve Radiotherapy Planning, Computer-Assisted Head Tomography, X-Ray Computed Radiotherapy Dosage Logistic Models Phantoms, Imaging Treatment Outcome Head and Neck Neoplasms Neck
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A combined ultrasonic B-mode and color Doppler system for the classification of breast masses using neural network.

European radiology Jan 31, 2020
OBJECTIVES: To develop a dual-modal neural network model to characterize ultrasound (US) images of breast masses.
Humans Neural Networks, Computer Retrospective Studies Female Aged Adult ROC Curve Sensitivity and Specificity Area Under Curve Breast Neoplasms Radiologists Middle Aged Ultrasonography, Mammary Ultrasonography, Doppler, Color
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Comparing Logistic Regression Models with Alternative Machine Learning Methods to Predict the Risk of Drug Intoxication Mortality.

International journal of environmental research and public health Jan 31, 2020
(1) Medical research has shown an increasing interest in machine learning, permitting massive multivariate data analysis. Thus, we developed drug intoxication mortality prediction models, and compared machine learning models and traditional logistic ...
Republic of Korea Neural Networks, Computer Mortality Risk Assessment Machine Learning Alcoholic Intoxication Logistic Models Area Under Curve
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Machine learning to predict early recurrence after oesophageal cancer surgery.

The British journal of surgery Jan 30, 2020
BACKGROUND: Early cancer recurrence after oesophagectomy is a common problem, with an incidence of 20-30 per cent despite the widespread use of neoadjuvant treatment. Quantification of this risk is difficult and existing models perform poorly. This s...
Esophageal Neoplasms Clinical Decision Rules Adenocarcinoma Area Under Curve Neoplasm Recurrence, Local Esophagectomy Humans Machine Learning Female Adult Aged Male Aged, 80 and over Middle Aged Risk Assessment ROC Curve
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Prediction of vaginal birth after cesarean deliveries using machine learning.

American journal of obstetrics and gynecology Jan 30, 2020
BACKGROUND: Efforts to reduce cesarean delivery rates to 12-15% have been undertaken worldwide. Special focus has been directed towards parturients who undergo a trial of labor after cesarean delivery to reduce the burden of repeated cesarean deliver...
Extraction, Obstetrical Trial of Labor Uterine Rupture Vaginal Birth after Cesarean Head Humans Gestational Age Machine Learning Delivery, Obstetric Apgar Score Fetal Weight Organ Size Area Under Curve Parity Tertiary Care Centers Risk Factors Feasibility Studies Adult Risk Assessment ROC Curve Retrospective Studies Pregnancy Female Infant, Newborn Cesarean Section
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