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Novel deep learning model for more accurate prediction of drug-drug interaction effects.

BMC bioinformatics Aug 6, 2019
BACKGROUND: Predicting the effect of drug-drug interactions (DDIs) precisely is important for safer and more effective drug co-prescription. Many computational approaches to predict the effect of DDIs have been proposed, with the aim of reducing the ...
Area Under Curve Drug Interactions Humans Neural Networks, Computer Databases, Factual Deep Learning Models, Theoretical Support Vector Machine
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Comparison between logistic regression and machine learning algorithms on survival prediction of traumatic brain injuries.

Journal of critical care Aug 5, 2019
PURPOSE: To compare twenty-two machine learning (ML) models against logistic regression on survival prediction in severe traumatic brain injury (STBI) patients in a single center study.
Humans Brain Injuries, Traumatic Female Machine Learning Area Under Curve Cross-Sectional Studies Algorithms Middle Aged Prognosis Logistic Models
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Machine learning to predict cardiovascular risk.

International journal of clinical practice Aug 4, 2019
AIMS: To analyse the predictive capacity of 15 machine learning methods for estimating cardiovascular risk in a cohort and to compare them with other risk scales.
Algorithms Female Risk Factors Male Humans Machine Learning Cardiovascular Diseases Predictive Value of Tests Middle Aged Cohort Studies Follow-Up Studies Area Under Curve Bayes Theorem Spain
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Comparison of machine learning algorithms for clinical event prediction (risk of coronary heart disease).

Journal of biomedical informatics Jul 30, 2019
AIM: The aim of this study is to compare the utility of several supervised machine learning (ML) algorithms for predicting clinical events in terms of their internal validity and accuracy. The results, which were obtained using two statistical softwa...
Humans Neural Networks, Computer Algorithms Databases, Factual Prospective Studies Risk Factors Coronary Disease Models, Statistical Computational Biology Decision Trees Logistic Models Area Under Curve Support Vector Machine Supervised Machine Learning Longitudinal Studies
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Evaluation of machine learning methods with Fourier Transform features for classifying ovarian tumors based on ultrasound images.

PloS one Jul 26, 2019
INTRODUCTION: Ovarian tumors are the most common diagnostic challenge for gynecologists and ultrasound examination has become the main technique for assessment of ovarian pathology and for preoperative distinction between malignant and benign ovarian...
Humans Area Under Curve ROC Curve Machine Learning Fourier Analysis Algorithms Image Processing, Computer-Assisted Female Ovarian Neoplasms Ultrasonography
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Development and validation of a deep-learning algorithm for the detection of neovascular age-related macular degeneration from colour fundus photographs.

Clinical & experimental ophthalmology Jul 25, 2019
IMPORTANCE: Detection of early onset neovascular age-related macular degeneration (AMD) is critical to protecting vision.
ROC Curve Visual Acuity Predictive Value of Tests Area Under Curve Male Middle Aged Diagnosis, Computer-Assisted Deep Learning Photography Ophthalmologists Choroidal Neovascularization Fundus Oculi False Positive Reactions Fluorescein Angiography Wet Macular Degeneration Humans Algorithms Retrospective Studies Female Reproducibility of Results Sensitivity and Specificity
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Prediction of Chemotherapy Response of Osteosarcoma Using Baseline F-FDG Textural Features Machine Learning Approaches with PCA.

Contrast media & molecular imaging Jul 24, 2019
PURPOSE: Patients with high-grade osteosarcoma undergo several chemotherapy cycles before surgical intervention. Response to chemotherapy, however, is affected by intratumor heterogeneity. In this study, we assessed the ability of a machine learning ...
Drug Monitoring Humans Osteosarcoma Positron-Emission Tomography Machine Learning Fluorodeoxyglucose F18 Predictive Value of Tests Support Vector Machine Principal Component Analysis Area Under Curve
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Development and rigorous validation of antimalarial predictive models using machine learning approaches.

SAR and QSAR in environmental research Jul 22, 2019
The large collection of known and experimentally verified compounds from the ChEMBL database was used to build different classification models for predicting the antimalarial activity against . Four different machine learning methods, namely the supp...
Machine Learning Area Under Curve Drug Design ROC Curve Antimalarials Quantitative Structure-Activity Relationship
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Is it possible to detect cerebral dominance via EEG signals by using deep learning?

Medical hypotheses Jul 20, 2019
Each brain hemisphere is dominant for certain functions such as speech. The determination of speech laterality prior to surgery is of paramount importance for accurate risk prediction. In this study, we aimed to determine speech laterality via EEG si...
Humans Retrospective Studies Broca Area Male Female Wernicke Area Middle Aged Adolescent Electroencephalography Aged Diagnosis, Computer-Assisted Support Vector Machine Reference Values Young Adult Deep Learning Area Under Curve Fourier Analysis Adult Dominance, Cerebral
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Pan-Renal Cell Carcinoma classification and survival prediction from histopathology images using deep learning.

Scientific reports Jul 19, 2019
Histopathological images contain morphological markers of disease progression that have diagnostic and predictive values. In this study, we demonstrate how deep learning framework can be used for an automatic classification of Renal Cell Carcinoma (R...
Carcinoma, Renal Cell Libraries, Digital Area Under Curve Cell Nucleus Kidney Tubules, Proximal Kidney Neoplasms Deep Learning Image Processing, Computer-Assisted Support Vector Machine Humans
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