AIMC Topic: Workflow
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Abdominal, multi-organ, auto-contouring method for online adaptive magnetic resonance guided radiotherapy: An intelligent, multi-level fusion approach.
Artificial intelligence in medicine
Jul 24, 2018
BACKGROUND: Manual contouring remains the most laborious task in radiation therapy planning and is a major barrier to implementing routine Magnetic Resonance Imaging (MRI) Guided Adaptive Radiation Therapy (MR-ART). To address this, we propose a new ...
MfeCNN: Mixture Feature Embedding Convolutional Neural Network for Data Mapping.
IEEE transactions on nanobioscience
May 28, 2018
Data mapping plays an important role in data integration and exchanges among institutions and organizations with different data standards. However, traditional rule-based approaches and machine learning methods fail to achieve satisfactory results fo...
Simulation of patient flow in multiple healthcare units using process and data mining techniques for model identification.
Journal of biomedical informatics
May 16, 2018
INTRODUCTION: An approach to building a hybrid simulation of patient flow is introduced with a combination of data-driven methods for automation of model identification. The approach is described with a conceptual framework and basic methods for comb...
Label-indicator morpheme growth on LSTM for Chinese healthcare question department classification.
Journal of biomedical informatics
Apr 27, 2018
BACKGROUND: Current Chinese medicine has an urgent demand for convenient medical services. When facing a large number of patients, understanding patients' questions automatically and precisely is useful. Different from the high professional medical t...
Approximate dynamic programming approaches for appointment scheduling with patient preferences.
Artificial intelligence in medicine
Feb 23, 2018
During the appointment booking process in out-patient departments, the level of patient satisfaction can be affected by whether or not their preferences can be met, including the choice of physicians and preferred time slot. In addition, because the ...
Accurate analysis of parabens in human urine using isotope-dilution ultrahigh-performance liquid chromatography-high resolution mass spectrometry.
Journal of pharmaceutical and biomedical analysis
Dec 24, 2017
An analytical method that utilizes isotope-dilution ultrahigh-performance liquid chromatography coupled with hybrid quadrupole time-of-flight mass spectrometry (UHPLC-QTOF-MS or called UHPLC-HRMS) was developed, and validated to be highly precise and...
Machine Learning and Artificial Intelligence in Radiology.
Journal of the American College of Radiology : JACR
Dec 21, 2017
Design and validation of an automated solid phase extraction liquid chromatography coupled mass spectrometry method for the quantification of propofol in plasma.
Journal of pharmaceutical and biomedical analysis
Dec 21, 2017
Propofol concentration in human plasma can be quantified by liquid chromatography coupled mass spectrometry. Sample preparation usually requires solid phase extraction to remove matrix components and enrich the analyte. To facilitate user-independent...
Simultaneous quantification of fluoxetine and norfluoxetine in colostrum and mature human milk using a 2-dimensional liquid chromatography-tandem mass spectrometry system.
Journal of pharmaceutical and biomedical analysis
Dec 20, 2017
A two-dimensional liquid chromatography system coupled to triple quadrupole tandem mass spectrometer (2D LC-MS/MS) was employed for the determination of fluoxetine (FLU) and norfluoxetine (N-FLU) in colostrum and mature milk by direct sample injectio...
Accurate and fast feature selection workflow for high-dimensional omics data.
PloS one
Dec 20, 2017
We are moving into the age of 'Big Data' in biomedical research and bioinformatics. This trend could be encapsulated in this simple formula: D = S * F, where the volume of data generated (D) increases in both dimensions: the number of samples (S) and...
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