AIMC Topic: Reproducibility of Results

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Validation of artificial neural networks as a methodology for donor-recipient matching for liver transplantation.

Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society
In 2014, we reported a model for donor-recipient (D-R) matching in liver transplantation (LT) based on artificial neural networks (ANNs) from a Spanish multicenter study (Model for Allocation of Donor and Recipient in EspaƱa [MADR-E]). The aim is to ...

Using Natural Language Processing of Free-Text Radiology Reports to Identify Type 1 Modic Endplate Changes.

Journal of digital imaging
Electronic medical record (EMR) systems provide easy access to radiology reports and offer great potential to support quality improvement efforts and clinical research. Harnessing the full potential of the EMR requires scalable approaches such as nat...

An automated behavioral measure of mind wandering during computerized reading.

Behavior research methods
Mind wandering is a ubiquitous phenomenon in which attention shifts from task-related to task-unrelated thoughts. The last decade has witnessed an explosion of interest in mind wandering, but research has been stymied by a lack of objective measures,...

Utility of the morphometry of the maxillary sinuses for gender determination by using computed tomography.

Dental and medical problems
BACKGROUND: It is impossible to use the routine skeletal parts for gender identification if the skeleton of unknown human remains is obtained in a fragmented and incomplete state. The alternative is to use other parts of the skeleton for gender ident...

Artificial neural network simulation of lower limb joint angles in normal and impaired human gait.

Acta of bioengineering and biomechanics
PURPOSE: Simulating the complexities of lower limb motion can be useful for orthosis or rehabilitation planning. The aim of this study was to develop an artificial neural network (ANN) able to accurately simulate the changes in the angle of the ankle...

Deep Forest-based Prediction of Protein Subcellular Localization.

Current gene therapy
MOTIVATION: Knowledge of the correct protein subcellular localization is necessary for understanding the function of a protein and revealing the mechanism of many human diseases due to protein subcellular mislocalization, which is required before app...

Development and Application of a System Based on Artificial Intelligence for Transcatheter Aortic Prosthesis Selection.

Brazilian journal of cardiovascular surgery
INTRODUCTION: The interest in Expert systems has increased in the medical area. Some of them are employed even for diagnosis. With the variability of transcatheter prostheses, the most appropriate choice can be complex. This scenario reveals an enabl...

Automation of Detection of Cervical Cancer Using Convolutional Neural Networks.

Critical reviews in biomedical engineering
Classification of digital cervical images acquired during visual inspection with acetic acid (VIA) is an important step in automated image-based cervical cancer detection. Many algorithms have been developed for classification of cervical images base...

MetaVW: Large-Scale Machine Learning for Metagenomics Sequence Classification.

Methods in molecular biology (Clifton, N.J.)
Metagenomics is the study of microbial community diversity, especially the uncultured microorganisms by shotgun sequencing environmental samples. As the sequencers throughput and the data volume increase, it becomes challenging to develop scalable bi...