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Response to Re: Impact of metabolic syndrome on early recovery of continence after robot-assisted radical prostatectomy.

International journal of urology : official journal of the Japanese Urological Association Feb 25, 2018
Robotics Prostate Prostatectomy Humans Male Metabolic Syndrome
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[Automated Assessment for Bone Age of Left Wrist Joint in Uyghur Teenagers by Deep Learning].

Fa yi xue za zhi Feb 25, 2018
OBJECTIVES: To realize the automated bone age assessment by applying deep learning to digital radiography （DR） image recognition of left wrist joint in Uyghur teenagers, and explore its practical application value in forensic medicine bone age assess...
X-Ray Film Algorithms Asian People Female Humans Forensic Medicine Neural Networks, Computer China Wrist Joint Male Artificial Intelligence Adolescent Age Determination by Skeleton Machine Learning Image Processing, Computer-Assisted
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Predication of different stages of Alzheimer's disease using neighborhood component analysis and ensemble decision tree.

Journal of neuroscience methods Feb 24, 2018
BACKGROUND: There is a spectrum of the progression from healthy control (HC) to mild cognitive impairment (MCI) without conversion to Alzheimer's disease (AD), to MCI with conversion to AD (cMCI), and to AD. This study aims to predict the different d...
(1)
Disease Progression Cognitive Dysfunction Magnetic Resonance Imaging Alzheimer Disease Image Interpretation, Computer-Assisted Decision Trees Principal Component Analysis Brain Female Male Humans Machine Learning Pattern Recognition, Automated
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Gene function prediction based on Gene Ontology Hierarchy Preserving Hashing.

Genomics Feb 23, 2018
Gene Ontology (GO) uses structured vocabularies (or terms) to describe the molecular functions, biological roles, and cellular locations of gene products in a hierarchical ontology. GO annotations associate genes with GO terms and indicate the given ...
(1)
Mice Rats Semantics Gene Ontology Humans Software Animals
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Prediction of rupture risk in anterior communicating artery aneurysms with a feed-forward artificial neural network.

European radiology Feb 23, 2018
OBJECTIVES: Anterior communicating artery (ACOM) aneurysms are the most common intracranial aneurysms, and predicting their rupture risk is challenging. We aimed to predict this risk using a two-layer feed-forward artificial neural network (ANN).
Cerebral Angiography Aneurysm, Ruptured Intracranial Aneurysm Predictive Value of Tests Models, Biological Computed Tomography Angiography Young Adult Risk Factors Anterior Cerebral Artery Adult Aged Age Factors Male Middle Aged Aged, 80 and over Decision Making Humans ROC Curve Neural Networks, Computer Female
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Personalized prediction of drug efficacy for diabetes treatment via patient-level sequential modeling with neural networks.

Artificial intelligence in medicine Feb 23, 2018
Patients with type 2 diabetes mellitus are generally under continuous long-term medical treatment based on anti-diabetic drugs to achieve the desired glucose level. Thus, each patient is associated with a sequence of multiple records for prescription...
(2)
Time Factors Diabetes Mellitus, Type 2 Biomarkers Hypoglycemic Agents Electronic Health Records Drug Prescriptions Humans Blood Glucose Neural Networks, Computer Treatment Outcome Glycated Hemoglobin
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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 ...
(1)
Ambulatory Care Markov Chains Efficiency, Organizational Outpatient Clinics, Hospital Patients Patient Preference Workload Workflow Appointments and Schedules Artificial Intelligence Computer Simulation Time Factors Humans
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Agile convolutional neural network for pulmonary nodule classification using CT images.

International journal of computer assisted radiology and surgery Feb 23, 2018
OBJECTIVE: To distinguish benign from malignant pulmonary nodules using CT images is critical for their precise diagnosis and treatment. A new Agile convolutional neural network (CNN) framework is proposed to conquer the challenges of a small-scale m...
Databases, Factual Tomography, X-Ray Computed Humans Lung Neoplasms Neural Networks, Computer Solitary Pulmonary Nodule
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An adaptive deep Q-learning strategy for handwritten digit recognition.

Neural networks : the official journal of the International Neural Network Society Feb 22, 2018
Handwritten digits recognition is a challenging problem in recent years. Although many deep learning-based classification algorithms are studied for handwritten digits recognition, the recognition accuracy and running time still need to be further im...
Pattern Recognition, Automated Humans Handwriting Neural Networks, Computer Deep Learning
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Efficient Embedded Decoding of Neural Network Language Models in a Machine Translation System.

International journal of neural systems Feb 22, 2018
Neural Network Language Models (NNLMs) are a successful approach to Natural Language Processing tasks, such as Machine Translation. We introduce in this work a Statistical Machine Translation (SMT) system which fully integrates NNLMs in the decoding ...
Neural Networks, Computer Models, Statistical Natural Language Processing Humans Vocabulary Translating
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