AIMC Topic: ROC Curve

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Gene essentiality prediction based on fractal features and machine learning.

Molecular bioSystems Feb 28, 2017
Essential genes are required for the viability of an organism. Accurate and rapid identification of new essential genes is of substantial theoretical interest to synthetic biology and has practical applications in biomedicine. Fractals provide facili...
Genes, Bacterial Databases, Nucleic Acid Fractals Humans Machine Learning ROC Curve Genomics Bacteria Genes, Essential Nonlinear Dynamics
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Prediction and Factor Extraction of Drug Function by Analyzing Medical Records in Developing Countries.

Studies in health technology and informatics Jan 1, 2017
The World Health Organization has declared Bangladesh one of 58 countries facing acute Human Resources for Health (HRH) crisis. Artificial intelligence in healthcare has been shown to be successful for diagnostics. Using machine learning to predict p...
Natural Language Processing Humans Developing Countries Artificial Intelligence Bangladesh Algorithms Medical Records ROC Curve
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B-Type Natriuretic Peptide as a Predictor of Short-Term Mortality in On-Pump Coronary Artery Bypass Grafting.

Brazilian journal of cardiovascular surgery Jan 1, 2017
OBJECTIVE: The present study refers to a determination of the preoperative B-type natriuretic peptide is a predictor of short-term all-cause mortality in patients undergoing on-pump coronary artery bypass graft surgeries.
Preoperative Period Brazil Prospective Studies Aged Humans Coronary Artery Bypass Survival Rate Biomarkers ROC Curve Sensitivity and Specificity Female Extracorporeal Circulation Male Risk Factors Natriuretic Peptide, Brain Middle Aged
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Prediction of pathologic femoral fractures in patients with lung cancer using machine learning algorithms: Comparison of computed tomography-based radiological features with clinical features versus without clinical features.

Journal of orthopaedic surgery (Hong Kong) Jan 1, 2017
PURPOSE: The purpose of this article is to compare the predictive power of two models trained with computed tomography (CT)-based radiological features and both CT-based radiological and clinical features for pathologic femoral fractures in patients ...
Machine Learning Algorithms Tomography, X-Ray Computed Female Risk Factors Humans Lung Neoplasms Logistic Models Odds Ratio Fractures, Spontaneous Aged Femoral Fractures Adult Male Middle Aged ROC Curve
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Breast osteoblastoma and recurrence after resection: Demonstration by color Doppler ultrasound.

Journal of X-ray science and technology Jan 1, 2017
Osteoblastoma is a rare benign primary bone tumor, which occurs in any part of the skeleton. Extraskeletal osteoblastoma is rather rare. We presented an extremely rare case of extraskeletal osteoblastoma located in the breast. The tumor recurred 7 mo...
Breast Neoplasms ROC Curve Breast Image Interpretation, Computer-Assisted Recurrence Humans Neural Networks, Computer Machine Learning Female Ultrasonography, Doppler, Color Learning Curve Osteoblastoma
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Development of a Late-Life Dementia Prediction Index with Supervised Machine Learning in the Population-Based CAIDE Study.

Journal of Alzheimer's disease : JAD Jan 1, 2017
BACKGROUND AND OBJECTIVE: This study aimed to develop a late-life dementia prediction model using a novel validated supervised machine learning method, the Disease State Index (DSI), in the Finnish population-based CAIDE study.
Female Reproducibility of Results Risk Factors Aged Male Humans Retrospective Studies Apolipoproteins E Community Health Planning Predictive Value of Tests Supervised Machine Learning Cerebrovascular Disorders Severity of Illness Index Neuropsychological Tests Finland Dementia ROC Curve Cognition
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Cell Free DNA and Procalcitonin as Early Markers of Complications in ICU Patients with Multiple Trauma and Major Surgery.

Clinical laboratory Dec 1, 2016
BACKGROUND: Cell free DNA (cfDNA) was recently suggested as a new marker of sepsis and poor outcome in ICU patients. Procalcitonin has also been the focus of attention as an early marker for systemic inflammation and sepsis.
DNA Early Diagnosis Surgical Procedures, Operative Lactic Acid Injury Severity Score Humans Organ Dysfunction Scores Biomarkers Calcitonin Prognosis Sepsis Adult Intensive Care Units Cell-Free Nucleic Acids Time Factors Male Female Hospital Mortality Multiple Trauma Middle Aged Reproducibility of Results ROC Curve Predictive Value of Tests Postoperative Complications Risk Factors C-Reactive Protein Length of Stay Area Under Curve
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Label-aligned multi-task feature learning for multimodal classification of Alzheimer's disease and mild cognitive impairment.

Brain imaging and behavior Dec 1, 2016
Multimodal classification methods using different modalities of imaging and non-imaging data have recently shown great advantages over traditional single-modality-based ones for diagnosis and prognosis of Alzheimer's disease (AD), as well as its prod...
ROC Curve Multimodal Imaging Radiopharmaceuticals Alzheimer Disease Positron-Emission Tomography Image Interpretation, Computer-Assisted Pattern Recognition, Automated Fluorodeoxyglucose F18 Neuroimaging Brain Prognosis Aged Disease Progression Cognitive Dysfunction Humans Machine Learning Databases, Factual
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[Research on Clinical Electrocardiogram Classification Algorithm Based on Ensemble Learning].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Oct 1, 2016
With the increasing number of electrocardiogram(ECG)data,extensive application requirements of computer-aided ECG analysis have occurred.In the paper,we propose a variety of strategies to improve the performance of clinical ECG classification algorit...
Humans Bayes Theorem Neural Networks, Computer Machine Learning Algorithms ROC Curve Electrocardiography
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Improved Automated Detection of Diabetic Retinopathy on a Publicly Available Dataset Through Integration of Deep Learning.

Investigative ophthalmology & visual science Oct 1, 2016
PURPOSE: To compare performance of a deep-learning enhanced algorithm for automated detection of diabetic retinopathy (DR), to the previously published performance of that algorithm, the Iowa Detection Program (IDP)-without deep learning components-o...
Retina Humans Automation Diabetic Retinopathy Diagnostic Techniques, Ophthalmological Ophthalmologists Male Neural Networks, Computer Middle Aged Algorithms Diagnosis, Computer-Assisted Retrospective Studies ROC Curve Female Follow-Up Studies
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