AIMC Topic:
ROC Curve

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Occurrence prediction of pests and diseases in cotton on the basis of weather factors by long short term memory network.

BMC bioinformatics Dec 24, 2019
BACKGROUND: The occurrence of cotton pests and diseases has always been an important factor affecting the total cotton production. Cotton has a great dependence on environmental factors during its growth, especially climate change. In recent years, m...
Neural Networks, Computer Temperature Climate Humidity Gossypium ROC Curve Area Under Curve Seasons Plant Diseases
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Prostate Cancer Detection using Deep Convolutional Neural Networks.

Scientific reports Dec 20, 2019
Prostate cancer is one of the most common forms of cancer and the third leading cause of cancer death in North America. As an integrated part of computer-aided detection (CAD) tools, diffusion-weighted magnetic resonance imaging (DWI) has been intens...
Neural Networks, Computer Humans Prostatic Neoplasms Male Diffusion Magnetic Resonance Imaging Deep Learning ROC Curve
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Gait Biomarkers Classification by Combining Assembled Algorithms and Deep Learning: Results of a Local Study.

Computational and mathematical methods in medicine Dec 19, 2019
Machine learning, one of the core disciplines of artificial intelligence, is an approach whose main emphasis is analytical model building. In other words, machine learning enables an automaton to make its own decisions based on a previous training pr...
Databases, Factual Adult Monitoring, Ambulatory Biomarkers Male ROC Curve Female Humans Accelerometry Reproducibility of Results Mexico Middle Aged Diabetic Neuropathies Artificial Intelligence Walking Deep Learning Algorithms Gait
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Detecting antimicrobial peptides by exploring the mutual information of their sequences.

Journal of biomolecular structure & dynamics Dec 18, 2019
The rise of antibiotic resistance in pathogenic bacteria is a growing concern for every part of the world. The present study shows the prediction efficiency of mutual information for the classification of antimicrobial peptides. The proven role of an...
ROC Curve Bacteria Antimicrobial Cationic Peptides Pore Forming Cytotoxic Proteins Machine Learning
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Machine learning classifiers-based prediction of normal-tension glaucoma progression in young myopic patients.

Japanese journal of ophthalmology Dec 17, 2019
PURPOSE: To assess the performance of machine learning classifiers for prediction of progression of normal-tension glaucoma (NTG) in young myopic patients.
Low Tension Glaucoma Visual Field Tests Gonioscopy Slit Lamp Microscopy Myopia Diagnosis, Computer-Assisted ROC Curve Area Under Curve Tomography, Optical Coherence Nerve Fibers Retinal Ganglion Cells Visual Fields Cross-Sectional Studies Intraocular Pressure Male Disease Progression Female Young Adult Adult Humans Machine Learning
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Multiple Compounds Recognition from The Tandem Mass Spectral Data Using Convolutional Neural Network.

Molecules (Basel, Switzerland) Dec 15, 2019
Mixtures analysis can provide more information than individual components. It is important to detect the different compounds in the real complex samples. However, mixtures are often disturbed by impurities and noise to influence the accuracy. Purific...
Humans Neural Networks, Computer Algorithms Tandem Mass Spectrometry Reproducibility of Results Drug Discovery ROC Curve Support Vector Machine
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A validation of machine learning-based risk scores in the prehospital setting.

PloS one Dec 13, 2019
BACKGROUND: The triage of patients in prehospital care is a difficult task, and improved risk assessment tools are needed both at the dispatch center and on the ambulance to differentiate between low- and high-risk patients. This study validates a ma...
Ambulances Humans Emergency Service, Hospital Machine Learning Critical Care Prospective Studies Needs Assessment Sweden Female Hospitalization Aged Male Middle Aged Risk Assessment ROC Curve Triage
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An investigation of machine learning methods in delta-radiomics feature analysis.

PloS one Dec 13, 2019
PURPOSE: This study aimed to investigate the effectiveness of using delta-radiomics to predict overall survival (OS) for patients with recurrent malignant gliomas treated by concurrent stereotactic radiosurgery and bevacizumab, and to investigate the...
ROC Curve Glioma Humans Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Neoplasm Recurrence, Local Machine Learning Radiosurgery Algorithms
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A Deep Learning Model for Cell Growth Inhibition IC50 Prediction and Its Application for Gastric Cancer Patients.

International journal of molecular sciences Dec 12, 2019
Heterogeneity in intratumoral cancers leads to discrepancies in drug responsiveness, due to diverse genomics profiles. Thus, prediction of drug responsiveness is critical in precision medicine. So far, in drug responsiveness prediction, drugs' molecu...
Humans Neural Networks, Computer Artificial Intelligence Dose-Response Relationship, Drug Cell Survival Models, Biological Inhibitory Concentration 50 Deep Learning Cell Line, Tumor ROC Curve Stomach Neoplasms Computational Biology Drug Discovery Antineoplastic Agents
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Comparison of machine learning algorithms for the identification of acute exacerbations in chronic obstructive pulmonary disease.

Computer methods and programs in biomedicine Dec 9, 2019
OBJECTIVES: Identifying acute exacerbations in chronic obstructive pulmonary disease (AECOPDs) is of utmost importance for reducing the associated mortality and financial burden. In this research, the authors aimed to develop identification models fo...
Male Middle Aged Support Vector Machine ROC Curve Predictive Value of Tests Humans Logistic Models Bayes Theorem Machine Learning Female Algorithms Aged Electronic Health Records Pulmonary Disease, Chronic Obstructive Sensitivity and Specificity
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