AIMC Topic: ROC Curve

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Revealing Alzheimer's disease genes spectrum in the whole-genome by machine learning.

BMC neurology
BACKGROUND: Alzheimer's disease (AD) is an important, progressive neurodegenerative disease, with a complex genetic architecture. A key goal of biomedical research is to seek out disease risk genes, and to elucidate the function of these risk genes i...

An ensemble boosting model for predicting transfer to the pediatric intensive care unit.

International journal of medical informatics
BACKGROUND: Early deterioration indicators have the potential to alert hospital care staff in advance of adverse events, such as patients requiring an increased level of care, or the need for rapid response teams to be called. Our work focuses on the...

Multiscale High-Level Feature Fusion for Histopathological Image Classification.

Computational and mathematical methods in medicine
Histopathological image classification is one of the most important steps for disease diagnosis. We proposed a method for multiclass histopathological image classification based on deep convolutional neural network referred to as coding network. It c...

Procalcitonin as Predictor of Bacterial Infection in Meconium Aspiration Syndrome.

American journal of perinatology
BACKGROUND: There is a lack of definite consensus on indications for initiating antibiotics in neonates with meconium aspiration syndrome (MAS), instigating researchers to search for a biomarker that can help differentiate MAS from MAS with bacterial...

Predictive factors of spontaneous CMV DNAemia clearance in kidney transplantation.

Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology
UNLABELLED: Cytomegalovirus (CMV) infection occurs frequently after solid organ transplantation. Therapeutic strategies, in particular when to start a curative treatment, has not yet been defined. The purpose of this study was to assess predictive fa...

Deep Convolutional Neural Networks Enable Discrimination of Heterogeneous Digital Pathology Images.

EBioMedicine
Pathological evaluation of tumor tissue is pivotal for diagnosis in cancer patients and automated image analysis approaches have great potential to increase precision of diagnosis and help reduce human error. In this study, we utilize several computa...

CNN-BLPred: a Convolutional neural network based predictor for β-Lactamases (BL) and their classes.

BMC bioinformatics
BACKGROUND: The β-Lactamase (BL) enzyme family is an important class of enzymes that plays a key role in bacterial resistance to antibiotics. As the newly identified number of BL enzymes is increasing daily, it is imperative to develop a computationa...

Identifying term relations cross different gene ontology categories.

BMC bioinformatics
BACKGROUND: The Gene Ontology (GO) is a community-based bioinformatics resource that employs ontologies to represent biological knowledge and describes information about gene and gene product function. GO includes three independent categories: molecu...