Humans

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Kinase inhibitor screening using artificial neural networks and engineered cardiac biowires.

Scientific reports Sep 18, 2017
Kinase inhibitors are often used as cancer targeting agents for their ability to prevent the activation of cell growth and proliferation signals. Cardiotoxic effects have been identified for some marketed kinase inhibitors that were not detected duri...
Cell Survival Myocardium Myocytes, Cardiac Tissue Engineering Protein Kinase Inhibitors Induced Pluripotent Stem Cells Humans Neural Networks, Computer
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Validation of a Machine Learning Approach for Venous Thromboembolism Risk Prediction in Oncology.

Disease markers Sep 17, 2017
Using kernel machine learning (ML) and random optimization (RO) techniques, we recently developed a set of venous thromboembolism (VTE) risk predictors, which could be useful to devise a web interface for VTE risk stratification in chemotherapy-treat...
Male Middle Aged Antineoplastic Agents Adolescent Models, Statistical Venous Thromboembolism Aged Aged, 80 and over Humans Adult Machine Learning Sensitivity and Specificity Female
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A Feasibility Study of SSVEP-Based Passive Training on an Ankle Rehabilitation Robot.

Journal of healthcare engineering Sep 17, 2017
OBJECTIVE: This study aims to establish a steady-state visual evoked potential- (SSVEP-) based passive training protocol on an ankle rehabilitation robot and validate its feasibility.
Fourier Analysis Rehabilitation Ankle Joint Ankle Young Adult Photic Stimulation Humans Motion Electroencephalography Male Algorithms Healthy Volunteers Female Virtual Reality Reproducibility of Results Brain-Computer Interfaces Signal Processing, Computer-Assisted Robotics Evoked Potentials, Visual Feasibility Studies
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Stakeholders' Perceptions Sought to Inform the Development of a Low-Cost Mobile Robot for Older Adults: A Qualitative Descriptive Study.

Clinical nursing research Sep 16, 2017
Creative solutions are needed to support community-dwelling older adults residing in a variety of settings including their house, apartment, or Supportive Apartment Living (SAL) to promote independence and reduce the risk of nursing home replacement....
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Self-Help Devices Independent Living Focus Groups Interpersonal Relations Male Middle Aged Qualitative Research Robotics Activities of Daily Living Perception Caregivers Female Aged Aged, 80 and over Humans Adult Health Personnel
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Predicting activities of daily living for cancer patients using an ontology-guided machine learning methodology.

Journal of biomedical semantics Sep 16, 2017
BACKGROUND: Bio-ontologies are becoming increasingly important in knowledge representation and in the machine learning (ML) fields. This paper presents a ML approach that incorporates bio-ontologies and its application to the SEER-MHOS dataset to dis...
Biological Ontologies Cohort Studies Data Mining Activities of Daily Living Retrospective Studies Female Aged Aged, 80 and over Male Middle Aged Neoplasms Humans Machine Learning
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Deep Manifold Learning Combined With Convolutional Neural Networks for Action Recognition.

IEEE transactions on neural networks and learning systems Sep 15, 2017
Learning deep representations have been applied in action recognition widely. However, there have been a few investigations on how to utilize the structural manifold information among different action videos to enhance the recognition accuracy and ef...
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Humans Video Recording Pattern Recognition, Automated Movement Neural Networks, Computer Photic Stimulation Machine Learning Deep Learning
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A new type of neurons for machine learning.

International journal for numerical methods in biomedical engineering Sep 15, 2017
In machine learning, an artificial neural network is the mainstream approach. Such a network consists of many neurons. These neurons are of the same type characterized by the 2 features: (1) an inner product of an input vector and a matching weightin...
Machine Learning Fuzzy Logic Blood Pressure Oxygen Consumption Humans Neural Networks, Computer
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Iterative Low-Dose CT Reconstruction With Priors Trained by Artificial Neural Network.

IEEE transactions on medical imaging Sep 15, 2017
Dose reduction in computed tomography (CT) is essential for decreasing radiation risk in clinical applications. Iterative reconstruction algorithms are one of the most promising way to compensate for the increased noise due to reduction of photon flu...
Thorax Humans Neural Networks, Computer Algorithms Tomography, X-Ray Computed Abdomen Radiographic Image Interpretation, Computer-Assisted Radiation Dosage
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Robotics in percutaneous cardiovascular interventions.

Expert review of cardiovascular therapy Sep 15, 2017
The fundamental technique of performing percutaneous cardiovascular (CV) interventions has remained unchanged and requires operators to wear heavy lead aprons to minimize exposure to ionizing radiation. Robotic technology is now being utilized in int...
Humans Treatment Outcome Robotics Percutaneous Coronary Intervention Coronary Artery Disease
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Prediction of early unplanned intensive care unit readmission in a UK tertiary care hospital: a cross-sectional machine learning approach.

BMJ open Sep 15, 2017
OBJECTIVES: Unplanned readmissions to the intensive care unit (ICU) are highly undesirable, increasing variance in care, making resource planning difficult and potentially increasing length of stay and mortality in some settings. Identifying patients...
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Humans Machine Learning Retrospective Studies Adult Cross-Sectional Studies Male Middle Aged Intensive Care Units Female Aged Patient Readmission United Kingdom ROC Curve Area Under Curve Tertiary Care Centers
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