AIMC Topic: Sensitivity and Specificity

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Application of Machine Learning to Prediction of Surgical Site Infection.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Surgical site infections are an important health concern, particularly in low-resource areas, where there is poor access to clinical facilities or trained clinical staff. As an application of machine learning, we present results from a study conducte...
Humans Machine Learning Forecasting Logistic Models Support Vector Machine Surgical Wound Infection Pregnancy Female Cesarean Section Sensitivity and Specificity
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A Reliable Multi-classifier Multi-objective Model for Predicting Recurrence in Triple Negative Breast Cancer.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Recurrence is a significant prognostic factor in patients with triple negative breast cancer, and the ability to accurately predict it is essential for treatment optimization. Machine learning is a preferred strategy for recurrence prediction. Most c...
Humans Machine Learning Sensitivity and Specificity ROC Curve Triple Negative Breast Neoplasms Neoplasm Recurrence, Local
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A Robust Machine Learning Architecture for a Reliable ECG Rhythm Analysis during CPR.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Chest compressions delivered during cardiopulmonary resuscitation (CPR) induce artifacts in the ECG that may make the shock advice algorithms (SAA) of defibrillators inaccurate. There is evidence that methods consisting of adaptive filters that remov...
Electrocardiography Out-of-Hospital Cardiac Arrest Artifacts Humans Cardiopulmonary Resuscitation Machine Learning Defibrillators Algorithms Sensitivity and Specificity
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Artificial intelligence and amniotic fluid multiomics: prediction of perinatal outcome in asymptomatic women with short cervix.

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology Jul 1, 2019
OBJECTIVE: To evaluate the application of artificial intelligence (AI), i.e. deep learning and other machine-learning techniques, to amniotic fluid (AF) metabolomics and proteomics, alone and in combination with sonographic, clinical and demographic ...
Sensitivity and Specificity Adolescent Ultrasonography Pregnancy Outcome Pregnancy Female Young Adult Adult Pregnancy Trimester, Second Amniotic Fluid Proteomics Humans Cervix Uteri Artificial Intelligence Metabolomics Retrospective Studies Predictive Value of Tests Intensive Care Units, Neonatal Amniocentesis Cervical Length Measurement
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[Research on algorithms for identifying the severity of acute respiratory distress syndrome patients based on noninvasive parameters].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Jun 25, 2019
Acute respiratory distress syndrome (ARDS) is a serious threat to human life and health disease, with acute onset and high mortality. The current diagnosis of the disease depends on blood gas analysis results, while calculating the oxygenation index....
ROC Curve Monitoring, Physiologic Respiratory Distress Syndrome Area Under Curve Blood Gas Analysis Humans Machine Learning Algorithms Sensitivity and Specificity
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Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging.

European heart journal Jun 21, 2019
Artificial intelligence (AI) has transformed key aspects of human life. Machine learning (ML), which is a subset of AI wherein machines autonomously acquire information by extracting patterns from large databases, has been increasingly used within th...
Cardiac Imaging Techniques Heart Failure Coronary Vessels Tomography, Emission-Computed, Single-Photon Computed Tomography Angiography Machine Learning Algorithms Sensitivity and Specificity Cardiovascular Diseases Echocardiography Electrocardiography Positron Emission Tomography Computed Tomography Calcium Humans Neural Networks, Computer Artificial Intelligence
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Obstructive sleep apnea syndrome detection based on ballistocardiogram via machine learning approach.

Mathematical biosciences and engineering : MBE Jun 19, 2019
Obstructive sleep apnea (OSA) is a common sleep-related respiratory disease that affects people's health, especially in the elderly. In the traditional PSG-based OSA detection, people's sleep may be disturbed, meanwhile the electrode slices are easil...
Humans Machine Learning Sleep Algorithms Sensitivity and Specificity Signal Processing, Computer-Assisted False Positive Reactions Reproducibility of Results Sleep Apnea, Obstructive Diagnosis, Computer-Assisted Risk Heart Rate Electrocardiography Ballistocardiography Nonlinear Dynamics Decision Trees
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Measuring Exposure to Incarceration Using the Electronic Health Record.

Medical care Jun 1, 2019
BACKGROUND: Electronic health records (EHRs) are a rich source of health information; however social determinants of health, including incarceration, and how they impact health and health care disparities can be hard to extract.
Veterans Administrative Claims, Healthcare Prisoners Adult Self Report Cohort Studies Sensitivity and Specificity Ethnicity Humans Male United States Information Storage and Retrieval Electronic Health Records Middle Aged Natural Language Processing United States Department of Veterans Affairs Female Medicare
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Deep learning and radiomics: the utility of Google TensorFlow™ Inception in classifying clear cell renal cell carcinoma and oncocytoma on multiphasic CT.

Abdominal radiology (New York) Jun 1, 2019
PURPOSE: Currently, all solid enhancing renal masses without microscopic fat are considered malignant until proven otherwise and there is substantial overlap in the imaging findings of benign and malignant renal masses, particularly between clear cel...
Humans Software Algorithms Retrospective Studies Female Male Adenoma, Oxyphilic Diagnosis, Differential Multidetector Computed Tomography Middle Aged Aged Carcinoma, Renal Cell Radiographic Image Interpretation, Computer-Assisted Deep Learning Aged, 80 and over Contrast Media Kidney Neoplasms Adult Iohexol Sensitivity and Specificity
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Improving Sensitivity on Identification and Delineation of Intracranial Hemorrhage Lesion Using Cascaded Deep Learning Models.

Journal of digital imaging Jun 1, 2019
Highly accurate detection of the intracranial hemorrhage without delay is a critical clinical issue for the diagnostic decision and treatment in an emergency room. In the context of a study on diagnostic accuracy, there is a tradeoff between sensitiv...
Intracranial Hemorrhages Tomography, X-Ray Computed Sensitivity and Specificity Deep Learning Radiographic Image Interpretation, Computer-Assisted Humans Neural Networks, Computer
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