AIMC Topic:
ROC Curve

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HPO2Vec+: Leveraging heterogeneous knowledge resources to enrich node embeddings for the Human Phenotype Ontology.

Journal of biomedical informatics Jun 27, 2019
BACKGROUND: In precision medicine, deep phenotyping is defined as the precise and comprehensive analysis of phenotypic abnormalities, aiming to acquire a better understanding of the natural history of a disease and its genotype-phenotype associations...
ROC Curve Genetic Association Studies Databases, Genetic Models, Statistical Area Under Curve Medical Informatics Semantics Biological Ontologies Rare Diseases Phenotype Computer Simulation Precision Medicine Electronic Health Records Humans Machine Learning Algorithms
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Trader as a new optimization algorithm predicts drug-target interactions efficiently.

Scientific reports Jun 27, 2019
Several machine learning approaches have been proposed for predicting new benefits of the existing drugs. Although these methods have introduced new usage(s) of some medications, efficient methods can lead to more accurate predictions. To this end, w...
Datasets as Topic ROC Curve Humans Computational Biology Machine Learning Drug Development Software Proteins Algorithms Data Mining
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Neural networks versus Logistic regression for 30 days all-cause readmission prediction.

Scientific reports Jun 26, 2019
Heart failure (HF) is one of the leading causes of hospital admissions in the US. Readmission within 30 days after a HF hospitalization is both a recognized indicator for disease progression and a source of considerable financial burden to the health...
Patient Readmission False Positive Reactions Risk Predictive Value of Tests Area Under Curve Humans Heart Failure Neural Networks, Computer Probability Machine Learning Deep Learning Algorithms ROC Curve Female Logistic Models Aged United States Male Middle Aged
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MR-based artificial intelligence model to assess response to therapy in locally advanced rectal cancer.

European journal of radiology Jun 22, 2019
PURPOSE: To develop and validate an Artificial Intelligence (AI) model based on texture analysis of high-resolution T2 weighted MR images able 1) to predict pathologic Complete Response (CR) and 2) to identify non-responders (NR) among patients with ...
Chemoradiotherapy, Adjuvant Male Middle Aged Cohort Studies Female ROC Curve Humans Treatment Outcome Reproducibility of Results Artificial Intelligence Neoadjuvant Therapy Aged Prospective Studies Magnetic Resonance Imaging Aged, 80 and over Retrospective Studies Rectum Rectal Neoplasms
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Deep Learning Preoperatively Predicts Value Metrics for Primary Total Knee Arthroplasty: Development and Validation of an Artificial Neural Network Model.

The Journal of arthroplasty Jun 20, 2019
BACKGROUND: The objective is to develop and validate an artificial neural network (ANN) that learns and predicts length of stay (LOS), inpatient charges, and discharge disposition before primary total knee arthroplasty (TKA). The secondary objective ...
Osteoarthritis, Knee Databases, Factual Female Reproducibility of Results Humans Length of Stay Aged, 80 and over Neural Networks, Computer Risk Factors Male Aged ROC Curve Algorithms Comorbidity United States Deep Learning Inpatients Arthroplasty, Replacement, Knee
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Recognition of early and late stages of bladder cancer using metabolites and machine learning.

Metabolomics : Official journal of the Metabolomic Society Jun 20, 2019
INTRODUCTION: Bladder cancer (BCa) is one of the most common and aggressive cancers. It is the sixth most frequently occurring cancer in men and its rate of occurrence increases with age. The current method of BCa diagnosis includes a cystoscopy and ...
Amino Acids Proto-Oncogene Proteins c-akt Glycine Galactose ErbB Receptors Urinary Bladder Neoplasms Metabolic Networks and Pathways Area Under Curve Neoplasm Staging Humans Machine Learning Software Biomarkers, Tumor Insulin ROC Curve
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Machine learning techniques for personalized breast cancer risk prediction: comparison with the BCRAT and BOADICEA models.

Breast cancer research : BCR Jun 20, 2019
BACKGROUND: Comprehensive breast cancer risk prediction models enable identifying and targeting women at high-risk, while reducing interventions in those at low-risk. Breast cancer risk prediction models used in clinical practice have low discriminat...
Prognosis Female Adult Breast Neoplasms Middle Aged Humans Machine Learning Algorithms Precision Medicine Models, Theoretical Population Surveillance Disease Susceptibility Risk Assessment Big Data ROC Curve Genetic Predisposition to Disease
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MetaNN: accurate classification of host phenotypes from metagenomic data using neural networks.

BMC bioinformatics Jun 20, 2019
BACKGROUND: Microbiome profiles in the human body and environment niches have become publicly available due to recent advances in high-throughput sequencing technologies. Indeed, recent studies have already identified different microbiome profiles in...
Models, Theoretical Support Vector Machine Databases, Genetic Area Under Curve Microbiota Machine Learning Algorithms Phenotype ROC Curve Metagenomics Humans Neural Networks, Computer
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Classification of benign and malignant lung nodules from CT images based on hybrid features.

Physics in medicine and biology Jun 20, 2019
The classification of benign and malignant lung nodules has great significance for the early detection of lung cancer, since early diagnosis of nodules can greatly increase patient survival. In this paper, we propose a novel classification method for...
Tomography, X-Ray Computed ROC Curve Image Processing, Computer-Assisted Lung Neoplasms Solitary Pulmonary Nodule Humans Neural Networks, Computer Algorithms
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Improved Classification of Blood-Brain-Barrier Drugs Using Deep Learning.

Scientific reports Jun 19, 2019
Blood-Brain-Barrier (BBB) is a strict permeability barrier for maintaining the Central Nervous System (CNS) homeostasis. One of the most important conditions to judge a CNS drug is to figure out whether it has BBB permeability or not. In the past 20 ...
Reproducibility of Results Blood-Brain Barrier Deep Learning ROC Curve Support Vector Machine Pharmaceutical Preparations Databases as Topic Humans
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