Humans

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Decoding of Human Movements Based on Deep Brain Local Field Potentials Using Ensemble Neural Networks.

Computational intelligence and neuroscience Oct 19, 2017
Decoding neural activities related to voluntary and involuntary movements is fundamental to understanding human brain motor circuits and neuromotor disorders and can lead to the development of neuromotor prosthetic devices for neurorehabilitation. Th...
Neuropsychological Tests Motor Activity Visual Perception Male Female Middle Aged Dystonia Aged Parkinson Disease Young Adult Humans Signal Processing, Computer-Assisted Adult Neural Networks, Computer Brain Deep Brain Stimulation Cues Rest Fingers
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A new machine-learning method to prognosticate paraquat poisoned patients by combining coagulation, liver, and kidney indices.

PloS one Oct 19, 2017
The prognosis of paraquat (PQ) poisoning is highly correlated to plasma PQ concentration, which has been identified as the most important index in PQ poisoning. This study investigated the predictive value of coagulation, liver, and kidney indices in...
Humans Machine Learning Herbicides Prognosis Kidney Function Tests Liver Function Tests Kidney Liver Blood Coagulation Paraquat
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Prognostic Value of Combined Clinical and Myocardial Perfusion Imaging Data Using Machine Learning.

JACC. Cardiovascular imaging Oct 18, 2017
OBJECTIVES: This study evaluated the added predictive value of combining clinical information and myocardial perfusion single-photon emission computed tomography (SPECT) imaging (MPI) data using machine learning (ML) to predict major adverse cardiac ...
Humans Machine Learning Prognosis Female Hemodynamics Time Factors Health Status Predictive Value of Tests Exercise Test Tomography, Emission-Computed, Single-Photon Coronary Circulation Myocardial Perfusion Imaging Reproducibility of Results Risk Factors Aged Aged, 80 and over Male Cardiovascular Diseases Middle Aged Risk Assessment
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Parzen neural networks: Fundamentals, properties, and an application to forensic anthropology.

Neural networks : the official journal of the International Neural Network Society Oct 18, 2017
A novel, unsupervised nonparametric model of multivariate probability density functions (pdf) is introduced, namely the Parzen neural network (PNN). The PNN is intended to overcome the major limitations of traditional (either statistical or neural) p...
Skull Forensic Anthropology Probability Theory Sex Determination Analysis Female Humans Reproducibility of Results Neural Networks, Computer Male Image Processing, Computer-Assisted Machine Learning Algorithms Databases, Factual Tomography, X-Ray Computed
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Chaotic genetic algorithm and Adaboost ensemble metamodeling approach for optimum resource planning in emergency departments.

Artificial intelligence in medicine Oct 18, 2017
Long length of stay and overcrowding in emergency departments (EDs) are two common problems in the healthcare industry. To decrease the average length of stay (ALOS) and tackle overcrowding, numerous resources, including the number of doctors, nurses...
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Patient Care Team Needs Assessment Delivery of Health Care, Integrated Hospitals, Teaching Emergency Service, Hospital Workflow Patient Discharge Efficiency, Organizational Nonlinear Dynamics Decision Support Systems, Management Health Services Needs and Demand Patient Admission Decision Support Techniques Computer Simulation Length of Stay Time Factors Humans Neural Networks, Computer Machine Learning
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Towards multilevel mental stress assessment using SVM with ECOC: an EEG approach.

Medical & biological engineering & computing Oct 18, 2017
Mental stress has been identified as one of the major contributing factors that leads to various diseases such as heart attack, depression, and stroke. To avoid this, stress quantification is important for clinical intervention and disease prevention...
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Humans Young Adult Electroencephalography Electrodes Multilevel Analysis Male Alpha Rhythm Stress, Psychological ROC Curve Support Vector Machine
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Melanoma segmentation based on deep learning.

Computer assisted surgery (Abingdon, England) Oct 18, 2017
Malignant melanoma is one of the most deadly forms of skin cancer, which is one of the world's fastest-growing cancers. Early diagnosis and treatment is critical. In this study, a neural network structure is utilized to construct a broad and accurate...
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Early Detection of Cancer Melanoma, Cutaneous Malignant Skin Neoplasms Reproducibility of Results Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms Melanoma
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The Human Behaviour-Change Project: harnessing the power of artificial intelligence and machine learning for evidence synthesis and interpretation.

Implementation science : IS Oct 18, 2017
BACKGROUND: Behaviour change is key to addressing both the challenges facing human health and wellbeing and to promoting the uptake of research findings in health policy and practice. We need to make better use of the vast amount of accumulating evid...
Humans Artificial Intelligence Machine Learning Algorithms Health Policy Health Behavior
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A Support Vector Machine based method to distinguish long non-coding RNAs from protein coding transcripts.

BMC genomics Oct 18, 2017
BACKGROUND: In recent years, a rapidly increasing number of RNA transcripts has been generated by thousands of sequencing projects around the world, creating enormous volumes of transcript data to be analyzed. An important problem to be addressed whe...
Mice Computational Biology RNA, Messenger Support Vector Machine Humans Animals Zebrafish Molecular Sequence Annotation RNA, Untranslated Open Reading Frames
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A Machine Learning Assisted, Label-free, Non-invasive Approach for Somatic Reprogramming in Induced Pluripotent Stem Cell Colony Formation Detection and Prediction.

Scientific reports Oct 18, 2017
During cellular reprogramming, the mesenchymal-to-epithelial transition is accompanied by changes in morphology, which occur prior to iPSC colony formation. The current approach for detecting morphological changes associated with reprogramming purely...
Mice Cellular Reprogramming Induced Pluripotent Stem Cells Cellular Reprogramming Techniques Humans Machine Learning Cells, Cultured Animals
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