AIMC Topic:
Predictive Value of Tests

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Machine learning for real-time prediction of complications in critical care: a retrospective study.

The Lancet. Respiratory medicine Sep 28, 2018
BACKGROUND: The large amount of clinical signals in intensive care units can easily overwhelm health-care personnel and can lead to treatment delays, suboptimal care, or clinical errors. The aim of this study was to apply deep machine learning method...
Postoperative Hemorrhage Cardiac Surgical Procedures Outcome Assessment, Health Care Renal Insufficiency Retrospective Studies Intensive Care Units Humans Female Aged Male Middle Aged Deep Learning ROC Curve Predictive Value of Tests
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Artificial neural network algorithm model as powerful tool to predict acute lung injury following to severe acute pancreatitis.

Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.] Sep 26, 2018
OBJECTIVE: The aim of this study is to predict the risk of severe acute pancreatitis (SAP) associated with acute lung injury (ALI) by artificial neural networks (ANNs) model.
Oxyhemoglobins Pancreatitis Humans Predictive Value of Tests Neural Networks, Computer Area Under Curve Male Machine Learning Acute Disease Middle Aged Algorithms L-Lactate Dehydrogenase Risk Assessment Prognosis Acute Kidney Injury ROC Curve Female Logistic Models Young Adult Adult
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Automatic glomerular identification and quantification of histological phenotypes using image analysis and machine learning.

American journal of physiology. Renal physiology Sep 26, 2018
Current methods of scoring histological kidney samples, specifically glomeruli, do not allow for collection of quantitative data in a high-throughput and consistent manner. Neither untrained individuals nor computers are presently capable of identify...
Automation, Laboratory Phenotype Female Reproducibility of Results Animals Male Diagnosis, Computer-Assisted Rats Disease Models, Animal Humans Machine Learning Software Species Specificity Mice, Transgenic Workflow Mice, Inbred C57BL Kidney Glomerulus Kidney Diseases Microscopy Predictive Value of Tests Image Interpretation, Computer-Assisted Biopsy Pattern Recognition, Automated
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Factorization machines and deep views-based co-training for improving answer quality prediction in online health expert question-answering services.

Journal of biomedical informatics Sep 18, 2018
In online health expert question-answering (HQA) services, it is significant to automatically determine the quality of the answers. There are two prominent challenges in this task. First, the answers are usually written in short text, which makes it ...
Internet Humans Neural Networks, Computer Telemedicine Machine Learning Semantics Software Algorithms Communication Predictive Value of Tests
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Comparative analysis of predictive methods for early assessment of compliance with continuous positive airway pressure therapy.

BMC medical informatics and decision making Sep 18, 2018
BACKGROUND: Patients suffering obstructive sleep apnea are mainly treated with continuous positive airway pressure (CPAP). Although it is a highly effective treatment, compliance with this therapy is problematic to achieve with serious consequences f...
Male Middle Aged Time Factors Treatment Outcome Predictive Value of Tests Sleep Apnea, Obstructive Machine Learning Patient Compliance Retrospective Studies Continuous Positive Airway Pressure Female Aged Adult Humans
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Automated cardiovascular magnetic resonance image analysis with fully convolutional networks.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Sep 14, 2018
BACKGROUND: Cardiovascular resonance (CMR) imaging is a standard imaging modality for assessing cardiovascular diseases (CVDs), the leading cause of death globally. CMR enables accurate quantification of the cardiac chamber volume, ejection fraction ...
Aged Male Ventricular Function, Left Stroke Volume Middle Aged Neural Networks, Computer Databases, Factual Female Reproducibility of Results Observer Variation Automation Magnetic Resonance Imaging, Cine Ventricular Function, Right Myocardial Contraction Deep Learning Predictive Value of Tests Heart Diseases Image Interpretation, Computer-Assisted Humans
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Comparison of logistic regression, support vector machines, and deep learning classifiers for predicting memory encoding success using human intracranial EEG recordings.

Journal of neural engineering Sep 13, 2018
OBJECTIVE: We sought to test the performance of three strategies for binary classification (logistic regression, support vector machines, and deep learning) for the problem of predicting successful episodic memory encoding using direct brain recordin...
Memory, Episodic Mental Recall Electrodes, Implanted Theta Rhythm Humans Logistic Models Algorithms Support Vector Machine Computer Simulation Predictive Value of Tests Deep Learning Electroencephalography Stochastic Processes
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Fuzzy entropy based on differential evolution for breast gland segmentation.

Australasian physical & engineering sciences in medicine Sep 10, 2018
For the diagnosis and treatment of breast tumors, the automatic detection of glands is a crucial step. The true segmentation of the gland is directly related to effective treatment effect of the patient. Therefore, it is necessary to propose an autom...
Mammography Predictive Value of Tests Breast Image Interpretation, Computer-Assisted Humans Algorithms Female Breast Neoplasms Fuzzy Logic
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A comparative study of logistic regression based machine learning techniques for prediction of early virological suppression in antiretroviral initiating HIV patients.

BMC medical informatics and decision making Sep 4, 2018
BACKGROUND: Treatment with effective antiretroviral therapy (ART) lowers morbidity and mortality among HIV positive individuals. Effective highly active antiretroviral therapy (HAART) should lead to undetectable viral load within 6 months of initiati...
Humans Machine Learning Female Adult Male Logistic Models Treatment Outcome Predictive Value of Tests CD4 Lymphocyte Count Antiretroviral Therapy, Highly Active HIV Infections Viral Load Anti-HIV Agents Cohort Studies
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Support Vector Machines and logistic regression to predict temporal artery biopsy outcomes.

Canadian journal of ophthalmology. Journal canadien d'ophtalmologie Aug 31, 2018
OBJECTIVE: Support vector machines (SVM) is a newer statistical method that has been reported to be advantageous to traditional logistic regression for clinical classification. We determine if SVM can better predict the results of temporal artery bio...
Predictive Value of Tests Humans Biopsy ROC Curve Giant Cell Arteritis Logistic Models Temporal Arteries Support Vector Machine
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