AIMC Topic: Databases, Factual

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Position-aware deep multi-task learning for drug-drug interaction extraction.

Artificial intelligence in medicine
OBJECTIVE: A drug-drug interaction (DDI) is a situation in which a drug affects the activity of another drug synergistically or antagonistically when being administered together. The information of DDIs is crucial for healthcare professionals to prev...

Detecting and classifying lesions in mammograms with Deep Learning.

Scientific reports
In the last two decades, Computer Aided Detection (CAD) systems were developed to help radiologists analyse screening mammograms, however benefits of current CAD technologies appear to be contradictory, therefore they should be improved to be ultimat...

Automatically measuring brain ventricular volume within PACS using artificial intelligence.

PloS one
The picture archiving and communications system (PACS) is currently the standard platform to manage medical images but lacks analytical capabilities. Staying within PACS, the authors have developed an automatic method to retrieve the medical data and...

Development of an information retrieval tool for biomedical patents.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: The volume of biomedical literature has been increasing in the last years. Patent documents have also followed this trend, being important sources of biomedical knowledge, technical details and curated data, which are put to...

Impact of database quality in knowledge-based treatment planning for prostate cancer.

Practical radiation oncology
PURPOSE: This article investigates dose-volume prediction improvements in a common knowledge-based planning (KBP) method using a Pareto plan database compared with using a conventional, clinical plan database.

The design and validation of a hybrid digital-signal-processing plug-in for traditional cochlear implant speech processors.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Cochlear implants (CIs) are electronic devices restoring partial hearing to deaf individuals with profound hearing loss. In this paper, a new plug-in for traditional IIR filter-banks (FBs) is presented for cochlear implants ...

Biomedical image classification based on a cascade of an SVM with a reject option and subspace analysis.

Computers in biology and medicine
Automated biomedical image classification could confront the challenges of high level noise, image blur, illumination variation and complicated geometric correspondence among various categorical biomedical patterns in practice. To handle these challe...

Training replicable predictors in multiple studies.

Proceedings of the National Academy of Sciences of the United States of America
This article considers replicability of the performance of predictors across studies. We suggest a general approach to investigating this issue, based on ensembles of prediction models trained on different studies. We quantify how the common practice...

Robust Machine Learning Variable Importance Analyses of Medical Conditions for Health Care Spending.

Health services research
OBJECTIVE: To propose nonparametric double robust machine learning in variable importance analyses of medical conditions for health spending.

Histopathological Breast Cancer Image Classification by Deep Neural Network Techniques Guided by Local Clustering.

BioMed research international
Breast Cancer is a serious threat and one of the largest causes of death of women throughout the world. The identification of cancer largely depends on digital biomedical photography analysis such as histopathological images by doctors and physicians...