Humans
Showing 67301 to 67310 of 95995 articles
Stacked classifiers for individualized prediction of glycemic control following initiation of metformin therapy in type 2 diabetes.
Computers in biology and medicine
Oct 16, 2018
OBJECTIVE: Metformin is the preferred first-line medication for management of type 2 diabetes and prediabetes. However, over a third of patients experience primary or secondary therapeutic failure. We developed machine learning models to predict whic...
Protein Family-Specific Models Using Deep Neural Networks and Transfer Learning Improve Virtual Screening and Highlight the Need for More Data.
Journal of chemical information and modeling
Oct 16, 2018
Machine learning has shown enormous potential for computer-aided drug discovery. Here we show how modern convolutional neural networks (CNNs) can be applied to structure-based virtual screening. We have coupled our densely connected CNN (DenseNet) wi...
An evaluation method of risk grades for prostate cancer using similarity measure of cubic hesitant fuzzy sets.
Journal of biomedical informatics
Oct 16, 2018
Prostate cancer (PC) is more common cancer in older men. Then, the existing evaluation method of PC risk grades is based on the AJCC (American Joint Committee on Cancer) staging/scoring system. It utilizes the comprehensive risk data of the prostate-...
Evaluation of robot-assisted MRI-guided prostate biopsy: needle path analysis during clinical trials.
Physics in medicine and biology
Oct 16, 2018
While the interaction between a needle and the surrounding tissue is known to cause a significant targeting error in prostate biopsy leading to false-negative results, few studies have demonstrated how it impacts in the actual procedure. We performed...
Assessing the severity of positive valence symptoms in initial psychiatric evaluation records: Should we use convolutional neural networks?
PloS one
Oct 16, 2018
BACKGROUND AND OBJECTIVE: Efficiently capturing the severity of positive valence symptoms could aid in risk stratification for adverse outcomes among patients with psychiatric disorders and identify optimal treatment strategies for patient subgroups....
Artificial intelligence in nanomedicine.
Nanoscale horizons
Oct 15, 2018
The field of nanomedicine has made substantial strides in the areas of therapeutic and diagnostic development. For example, nanoparticle-modified drug compounds and imaging agents have resulted in markedly enhanced treatment outcomes and contrast eff...
Artificial Intelligence Using Open Source BI-RADS Data Exemplifying Potential Future Use.
Journal of the American College of Radiology : JACR
Oct 15, 2018
OBJECTIVES: With much hype about artificial intelligence (AI) rendering radiologists redundant, a simple radiologist-augmented AIÂ workflow is evaluated; the premise is that inclusion of a radiologist's opinion into an AI algorithm would make the algo...
Sleep stage classification based on multi-level feature learning and recurrent neural networks via wearable device.
Computers in biology and medicine
Oct 15, 2018
BACKGROUND: Automatic sleep stage classification is essential for long-term sleep monitoring. Wearable devices show more advantages than polysomnography for home use. In this paper, we propose a novel method for sleep staging using heart rate and wri...
Using neural attention networks to detect adverse medical events from electronic health records.
Journal of biomedical informatics
Oct 15, 2018
The detection of Adverse Medical Events (AMEs) plays an important role in disease management in ensuring efficient treatment delivery and quality improvement of health services. Recently, with the rapid development of hospital information systems, a ...
Satisfaction and Technology Evaluation of a Telehealth Robotic Program to Optimize Healthy Independent Living for Older Adults.
Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing
Oct 15, 2018
BACKGROUND AND PURPOSE: With the growth in the aging population, and shortage of primary care providers, telehealth programs are needed to optimize healthy independent living for older adults. The purpose of this study was to evaluate a nurse-led int...
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