AIMC Topic: Humans
Showing 66871 to 66880 of 95995 articles
Machine learning in critical care: state-of-the-art and a sepsis case study.
Biomedical engineering online
Nov 20, 2018
BACKGROUND: Like other scientific fields, such as cosmology, high-energy physics, or even the life sciences, medicine and healthcare face the challenge of an extremely quick transformation into data-driven sciences. This challenge entails the dauntin...
A dataset of clinically generated visual questions and answers about radiology images.
Scientific data
Nov 20, 2018
Radiology images are an essential part of clinical decision making and population screening, e.g., for cancer. Automated systems could help clinicians cope with large amounts of images by answering questions about the image contents. An emerging area...
Automated classification of benign and malignant lesions in F-NaF PET/CT images using machine learning.
Physics in medicine and biology
Nov 20, 2018
PURPOSE: F-NaF PET/CT imaging of bone metastases is confounded by tracer uptake in benign diseases, such as osteoarthritis. The goal of this work was to develop an automated bone lesion classification algorithm to classify lesions in NaF PET/CT image...
Statistical CT reconstruction using region-aware texture preserving regularization learning from prior normal-dose CT image.
Physics in medicine and biology
Nov 20, 2018
In some clinical applications, prior normal-dose CT (NdCT) images are available, and the valuable textures and structure features in them may be used to promote follow-up low-dose CT (LdCT) reconstruction. This study aims to learn texture information...
Gene Ontology-based function prediction of long non-coding RNAs using bi-random walk.
BMC medical genomics
Nov 20, 2018
BACKGROUND: With the development of sequencing technology, more and more long non-coding RNAs (lncRNAs) have been identified. Some lncRNAs have been confirmed that they play an important role in the process of development through the dosage compensat...
Bi-stream CNN Down Syndrome screening model based on genotyping array.
BMC medical genomics
Nov 20, 2018
BACKGROUND: Human Down syndrome (DS) is usually caused by genomic micro-duplications and dosage imbalances of human chromosome 21. It is associated with many genomic and phenotype abnormalities. Even though human DS occurs about 1 per 1,000 births wo...
Deep learning architectures for prediction of nucleosome positioning from sequences data.
BMC bioinformatics
Nov 20, 2018
BACKGROUND: Nucleosomes are DNA-histone complex, each wrapping about 150 pairs of double-stranded DNA. Their function is fundamental for one of the primary functions of Chromatin i.e. packing the DNA into the nucleus of the Eukaryote cells. Several b...
Predicting the risk of emergency admission with machine learning: Development and validation using linked electronic health records.
PLoS medicine
Nov 20, 2018
BACKGROUND: Emergency admissions are a major source of healthcare spending. We aimed to derive, validate, and compare conventional and machine learning models for prediction of the first emergency admission. Machine learning methods are capable of ca...
Sex Factors
Electronic Health Records
Health Services Needs and Demand
Female
Patient Admission
Reproducibility of Results
Needs Assessment
Health Status
Risk Factors
Adolescent
Age Factors
Humans
Time Factors
Emergency Service, Hospital
Machine Learning
Male
Data Mining
Socioeconomic Factors
Aged
Middle Aged
Aged, 80 and over
Risk Assessment
Young Adult
England
Adult
Automated detection of moderate and large pneumothorax on frontal chest X-rays using deep convolutional neural networks: A retrospective study.
PLoS medicine
Nov 20, 2018
BACKGROUND: Pneumothorax can precipitate a life-threatening emergency due to lung collapse and respiratory or circulatory distress. Pneumothorax is typically detected on chest X-ray; however, treatment is reliant on timely review of radiographs. Sinc...
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Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists.
PLoS medicine
Nov 20, 2018
BACKGROUND: Chest radiograph interpretation is critical for the detection of thoracic diseases, including tuberculosis and lung cancer, which affect millions of people worldwide each year. This time-consuming task typically requires expert radiologis...
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