AI Medical Compendium Topic:
Area Under Curve

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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...
Hospitals, Teaching Hospitals Hospital Mortality ROC Curve Retrospective Studies Humans Area Under Curve Electronic Health Records Machine Learning Models, Biological Female Forecasting Hospitalization Prospective Studies Aged Prognosis Aged, 80 and over Adult Male Middle Aged Risk Assessment
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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...
Animals Deep Learning ROC Curve Logistic Models Lung Diseases Area Under Curve Machine Learning Supervised Machine Learning Gastrointestinal Diseases Urologic Diseases
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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...
Humans Neural Networks, Computer Middle Aged Comorbidity Deep Learning Cohort Studies ROC Curve Artificial Intelligence Machine Learning Retrospective Studies Female Male Area Under Curve Spinal Fusion Surgical Wound Infection Clinical Decision Rules
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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 Radiotherapy Dosage Phantoms, Imaging Tomography, X-Ray Computed Logistic Models 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.
Aged Adult Sensitivity and Specificity Breast Neoplasms Middle Aged ROC Curve Area Under Curve Radiologists Ultrasonography, Mammary Humans Ultrasonography, Doppler, Color Neural Networks, Computer Retrospective Studies Female
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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 ...
Logistic Models Neural Networks, Computer Machine Learning Area Under Curve Republic of Korea Mortality Risk Assessment Alcoholic Intoxication
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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...
Adenocarcinoma Adult Area Under Curve Neoplasm Recurrence, Local Male Clinical Decision Rules Esophagectomy Middle Aged Humans Risk Assessment Esophageal Neoplasms Machine Learning ROC Curve Female Aged Aged, 80 and over
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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...
Vaginal Birth after Cesarean Infant, Newborn Fetal Weight Cesarean Section Feasibility Studies Extraction, Obstetrical Humans Parity Risk Assessment Head Trial of Labor Risk Factors ROC Curve Gestational Age Uterine Rupture Machine Learning Adult Organ Size Delivery, Obstetric Retrospective Studies Apgar Score Area Under Curve Pregnancy Tertiary Care Centers Female
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Overlooked pitfalls in multi-class machine learning classification in radiation oncology and how to avoid them.

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) Jan 25, 2020
In radiation oncology, Machine Learning classification publications are typically related to two outcome classes, e.g. the presence or absence of distant metastasis. However, multi-class classification problems also have great clinical relevance, e.g...
Monte Carlo Method Radiation Injuries Radiation Exposure Models, Theoretical Humans Area Under Curve Machine Learning Radiation Oncology Biomarkers Technology Assessment, Biomedical Risk Factors
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Application of artificial intelligence using convolutional neural networks in determining the invasion depth of esophageal squamous cell carcinoma.

Esophagus : official journal of the Japan Esophageal Society Jan 24, 2020
OBJECTIVES: In Japan, endoscopic resection (ER) is often used to treat esophageal squamous cell carcinoma (ESCC) when invasion depths are diagnosed as EP-SM1, whereas ESCC cases deeper than SM2 are treated by surgical operation or chemoradiotherapy. ...
Esophageal Squamous Cell Carcinoma Preoperative Care Endoscopic Mucosal Resection Neoplasm Invasiveness Area Under Curve Esophageal Neoplasms Japan Outcome Assessment, Health Care Artificial Intelligence Retrospective Studies Female Reproducibility of Results Aged Aged, 80 and over Sensitivity and Specificity Male Middle Aged Deep Learning Humans Neural Networks, Computer
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