AIMC Topic: Predictive Value of Tests

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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...
Computer Simulation Deep Learning Logistic Models Support Vector Machine Humans Algorithms Memory, Episodic Mental Recall Electrodes, Implanted Theta Rhythm Predictive Value of Tests 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...
Image Interpretation, Computer-Assisted Humans Algorithms Female Breast Neoplasms Fuzzy Logic Mammography Predictive Value of Tests Breast
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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...
Female Adult Male HIV Infections Humans Machine Learning Treatment Outcome Predictive Value of Tests CD4 Lymphocyte Count Antiretroviral Therapy, Highly Active Viral Load Anti-HIV Agents Cohort Studies Logistic Models
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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...
Support Vector Machine Temporal Arteries Humans ROC Curve Predictive Value of Tests Logistic Models Biopsy Giant Cell Arteritis
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Predicting hospital readmission for lupus patients: An RNN-LSTM-based deep-learning methodology.

Computers in biology and medicine Aug 31, 2018
Hospital readmission is one of the critical metrics used for measuring the performance of hospitals. The HITECH Act imposes penalties when patients are readmitted to hospitals if they are diagnosed with one of the six conditions mentioned in the Act....
Predictive Value of Tests Lupus Erythematosus, Systemic Models, Biological Patient Readmission Neural Networks, Computer Humans Female Male Deep Learning
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Identifying people at risk of developing type 2 diabetes: A comparison of predictive analytics techniques and predictor variables.

International journal of medical informatics Aug 28, 2018
BACKGROUND: The present study aims to identify the patients at risk of type 2 diabetes (T2D). There is a body of literature that uses machine learning classification algorithms to predict development of T2D among patients. The current study compares ...
Support Vector Machine Predictive Value of Tests Humans Neural Networks, Computer Machine Learning Disease Progression Female Algorithms Diabetes Mellitus, Type 2 Risk Factors Logistic Models Male Mass Screening Middle Aged
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Predictive connectome subnetwork extraction with anatomical and connectivity priors.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Aug 25, 2018
We present a new method to identify anatomical subnetworks of the human connectome that are optimally predictive of targeted clinical variables, developmental outcomes or disease states. Given a training set of structural or functional brain networks...
Autistic Disorder Humans Infant, Premature Machine Learning Infant, Newborn Connectome Magnetic Resonance Imaging Predictive Value of Tests Anatomic Landmarks
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Application of machine-learning to predict early spontaneous preterm birth among nulliparous non-Hispanic black and white women.

Annals of epidemiology Aug 24, 2018
PURPOSE: Spontaneous preterm birth is a leading cause of perinatal mortality in the United States, occurring disproportionately among non-Hispanic black women compared to other race-ethnicities. Clinicians lack tools to identify first-time mothers at...
Premature Birth Parity ROC Curve Predictive Value of Tests White People Gestational Age California Machine Learning Retrospective Studies Pregnancy Female Black or African American Humans Birth Certificates
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The utility of artificial neural networks and classification and regression trees for the prediction of endometrial cancer in postmenopausal women.

Public health Aug 24, 2018
OBJECTIVE: Artificial neural networks (ANNs) and classification and regression trees (CARTs) have been previously used for the prediction of cancer in several fields. In our study, we aim to investigate the diagnostic accuracy of three different meth...
Postmenopause Endometrial Neoplasms Case-Control Studies Regression Analysis Decision Trees Humans Predictive Value of Tests Neural Networks, Computer Retrospective Studies Female Reproducibility of Results Aged Middle Aged
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Exploiting MEDLINE for gene molecular function prediction via NMF based multi-label classification.

Journal of biomedical informatics Aug 18, 2018
Gene ontology (GO) provides a representation of terms and categories used to describe genes and their molecular functions, cellular components and biological processes. GO has been the standard for describing the functions of specific genes in differ...
Databases, Protein Predictive Value of Tests Markov Chains MEDLINE Databases, Genetic Models, Statistical Decision Trees Molecular Sequence Annotation Gene Ontology Humans Algorithms Reproducibility of Results Animals Computational Biology
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