AIMC Topic: False Positive Reactions

Clear Filters Showing 91 to 100 of 157 articles

Is Multiclass Automatic Text De-Identification Worth the Effort?

Methods of information in medicine Sep 24, 2018
OBJECTIVES: Automatic de-identification to remove protected health information (PHI) from clinical text can use a "binary" model that replaces redacted text with a generic tag (e.g., ""), or can use a "multiclass" model that retains more class i...
False Positive Reactions Humans Algorithms Electronic Health Records Data Anonymization
View on PubMed DOI

Single-view 2D CNNs with fully automatic non-nodule categorization for false positive reduction in pulmonary nodule detection.

Computer methods and programs in biomedicine Aug 31, 2018
BACKGROUND AND OBJECTIVE: In pulmonary nodule detection, the first stage, candidate detection, aims to detect suspicious pulmonary nodules. However, detected candidates include many false positives and thus in the following stage, false positive redu...
Diagnosis, Computer-Assisted Lung Neoplasms Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted False Positive Reactions Humans Neural Networks, Computer Databases, Factual Tomography, X-Ray Computed
View on PubMed DOI

CNN models discriminating between pulmonary micro-nodules and non-nodules from CT images.

Biomedical engineering online Jul 16, 2018
BACKGROUND: Early and automatic detection of pulmonary nodules from CT lung screening is the prerequisite for precise management of lung cancer. However, a large number of false positives appear in order to increase the sensitivity, especially for de...
Tomography, X-Ray Computed Lung Image Processing, Computer-Assisted Lung Neoplasms False Positive Reactions Humans Neural Networks, Computer Databases, Factual
View on PubMed DOI

Chemical-induced disease relation extraction with dependency information and prior knowledge.

Journal of biomedical informatics Jul 11, 2018
Chemical-disease relation (CDR) extraction is significantly important to various areas of biomedical research and health care. Nowadays, many large-scale biomedical knowledge bases (KBs) containing triples about entity pairs and their relations have ...
Chemically-Induced Disorders Precision Medicine Language Neural Networks, Computer Biomedical Research Machine Learning Computational Biology Humans Algorithms Models, Statistical Research Design Natural Language Processing Databases, Factual Knowledge Bases Semantics False Positive Reactions
View on PubMed DOI

A novel integrated action crossing method for drug-drug interaction prediction in non-communicable diseases.

Computer methods and programs in biomedicine Jun 22, 2018
BACKGROUND AND OBJECTIVE: Drug-drug interaction (DDI) is one of the main causes of toxicity and treatment inefficacy. This work focuses on non-communicable diseases (NCDs), the non-transmissible and long-lasting diseases since they are the leading ca...
Humans Neural Networks, Computer Machine Learning Algorithms Databases, Factual Area Under Curve Noncommunicable Diseases Drug Interactions Probability Cytochrome P-450 Enzyme System Computer Simulation Reproducibility of Results Support Vector Machine Cluster Analysis Simvastatin False Positive Reactions Quantitative Structure-Activity Relationship
View on PubMed DOI

Forewarning of hypotensive events using a Bayesian artificial neural network in neurocritical care.

Journal of clinical monitoring and computing May 24, 2018
Traumatically brain injured (TBI) patients are at risk from secondary insults. Arterial hypotension, critically low blood pressure, is one of the most dangerous secondary insults and is related to poor outcome in patients. The overall aim of this stu...
Hypotension Critical Care False Positive Reactions Area Under Curve Sample Size Female Bayes Theorem Aged Signal Processing, Computer-Assisted Aged, 80 and over Pilot Projects Young Adult Adult Adolescent Machine Learning Sensitivity and Specificity Brain Injuries, Traumatic Humans Software Male Brain Injuries Neural Networks, Computer Databases, Factual Middle Aged Prospective Studies Diagnosis, Computer-Assisted Intensive Care Units
View on PubMed DOI

Combining Context and Knowledge Representations for Chemical-Disease Relation Extraction.

IEEE/ACM transactions on computational biology and bioinformatics May 21, 2018
Automatically extracting the relationships between chemicals and diseases is significantly important to various areas of biomedical research and health care. Biomedical experts have built many large-scale knowledge bases (KBs) to advance the developm...
Language Reproducibility of Results Inflammation Models, Statistical Myocardial Infarction Thrombosis Knowledge Bases Data Mining Medical Subject Headings Neural Networks, Computer Machine Learning Algorithms Databases, Factual Humans False Positive Reactions Myoclonus
View on PubMed DOI

Localized instance fusion of MRI data of Alzheimer's disease for classification based on instance transfer ensemble learning.

Biomedical engineering online May 2, 2018
BACKGROUND: Diagnosis of Alzheimer's disease (AD) is very important, and MRI is an effective imaging mode of Alzheimer's disease. There are many existing studies on the diagnosis of Alzheimer's disease based on MRI data. However, there are no studies...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Alzheimer Disease False Positive Reactions Humans Machine Learning Female Aged Aged, 80 and over Male
View on PubMed DOI

Small lung nodules detection based on local variance analysis and probabilistic neural network.

Computer methods and programs in biomedicine Apr 28, 2018
BACKGROUND AND OBJECTIVE: In medical examinations doctors use various techniques in order to provide to the patients an accurate analysis of their actual state of health. One of the commonly used methodologies is the x-ray screening. This examination...
Radiographic Image Enhancement Medical Errors Probability Pattern Recognition, Automated False Positive Reactions X-Rays Databases, Factual Reproducibility of Results Sensitivity and Specificity Lung Image Processing, Computer-Assisted Humans Lung Neoplasms Neural Networks, Computer Solitary Pulmonary Nodule Algorithms Radiographic Image Interpretation, Computer-Assisted Carcinoma
View on PubMed DOI

Detection of white matter lesion regions in MRI using SLIC0 and convolutional neural network.

Computer methods and programs in biomedicine Apr 19, 2018
BACKGROUND AND OBJECTIVE: White matter lesions are non-static brain lesions that have a prevalence rate up to 98% in the elderly population. Because they may be associated with several brain diseases, it is important that they are detected as soon as...
Humans Neural Networks, Computer Pattern Recognition, Automated Algorithms False Positive Reactions White Matter Prevalence Diagnosis, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Databases, Factual Magnetic Resonance Imaging Brain Reproducibility of Results Sensitivity and Specificity
View on PubMed DOI
Popular Topics
Recent Journals