AIMC Topic: Datasets as Topic

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Learning the signatures of the human grasp using a scalable tactile glove.

Nature May 29, 2019
Humans can feel, weigh and grasp diverse objects, and simultaneously infer their material properties while applying the right amount of force-a challenging set of tasks for a modern robot. Mechanoreceptor networks that provide sensory feedback and en...
Clothing Man-Machine Systems Touch Data Analysis Hand Strength Hand Datasets as Topic Humans Neural Networks, Computer
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Applications of deep learning for the analysis of medical data.

Archives of pharmacal research May 28, 2019
Over the past decade, deep learning has demonstrated superior performances in solving many problems in various fields of medicine compared with other machine learning methods. To understand how deep learning has surpassed traditional machine learning...
Radiographic Image Interpretation, Computer-Assisted Datasets as Topic Stomach Computational Biology Electroencephalography Seizures Humans Data Analysis Drug Discovery Deep Learning Big Data
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Rapid discrimination of multiple myeloma patients by artificial neural networks coupled with mass spectrometry of peripheral blood plasma.

Scientific reports May 28, 2019
Multiple myeloma (MM) is a highly heterogeneous disease of malignant plasma cells. Diagnosis and monitoring of MM patients is based on bone marrow biopsies and detection of abnormal immunoglobulin in serum and/or urine. However, biopsies have a singl...
Humans Aged, 80 and over Male Middle Aged Case-Control Studies Neural Networks, Computer Artificial Intelligence Female Aged Datasets as Topic Bone Marrow Immunoglobulins Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Multiple Myeloma Metabolome Principal Component Analysis Metabolic Networks and Pathways
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Uncovering the structure of self-regulation through data-driven ontology discovery.

Nature communications May 24, 2019
Psychological sciences have identified a wealth of cognitive processes and behavioral phenomena, yet struggle to produce cumulative knowledge. Progress is hamstrung by siloed scientific traditions and a focus on explanation over prediction, two issue...
Datasets as Topic Humans Individuality Adult Self-Control Psychometrics Data Science Predictive Value of Tests Self Report Knowledge Bases
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Interpretable classification of Alzheimer's disease pathologies with a convolutional neural network pipeline.

Nature communications May 15, 2019
Neuropathologists assess vast brain areas to identify diverse and subtly-differentiated morphologies. Standard semi-quantitative scoring approaches, however, are coarse-grained and lack precise neuroanatomic localization. We report a proof-of-concept...
Humans Brain Female Aged ROC Curve Aged, 80 and over Image Processing, Computer-Assisted Male Alzheimer Disease Deep Learning Datasets as Topic Cohort Studies
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An Open Science Approach to Artificial Intelligence in Healthcare.

Yearbook of medical informatics Apr 25, 2019
OBJECTIVES: Artificial Intelligence (AI) offers significant potential for improving healthcare. This paper discusses how an "open science" approach to AI tool development, data sharing, education, and research can support the clinical adoption of AI ...
Artificial Intelligence Machine Learning Delivery of Health Care Decision Support Systems, Clinical Information Dissemination Datasets as Topic Classification
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Towards interpretable machine learning models for diagnosis aid: A case study on attention deficit/hyperactivity disorder.

PloS one Apr 25, 2019
Attention Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder that has heavy consequences on a child's wellbeing, especially in the academic, psychological and relational planes. The current evaluation of the disorder is supported ...
Diagnosis, Computer-Assisted Adolescent Child Decision Trees Prognosis Datasets as Topic Humans Female Diagnostic and Statistical Manual of Mental Disorders Machine Learning Male Attention Deficit Disorder with Hyperactivity Limbic System
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Viable and necrotic tumor assessment from whole slide images of osteosarcoma using machine-learning and deep-learning models.

PloS one Apr 17, 2019
Pathological estimation of tumor necrosis after chemotherapy is essential for patients with osteosarcoma. This study reports the first fully automated tool to assess viable and necrotic tumor in osteosarcoma, employing advances in histopathology digi...
Necrosis Humans Bone Neoplasms Software Image Interpretation, Computer-Assisted Reproducibility of Results ROC Curve Datasets as Topic Deep Learning Support Vector Machine Bone and Bones Osteosarcoma
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Quantitative Prediction of the Landscape of T Cell Epitope Immunogenicity in Sequence Space.

Frontiers in immunology Apr 16, 2019
Immunodominant T cell epitopes preferentially targeted in multiple individuals are the critical element of successful vaccines and targeted immunotherapies. However, the underlying principles of this "convergence" of adaptive immunity among different...
Datasets as Topic Antigen Presentation T-Lymphocytes Humans Adaptive Immunity Immunodominant Epitopes Epitopes, T-Lymphocyte Machine Learning Thermodynamics Receptors, Antigen, T-Cell Computer Simulation Major Histocompatibility Complex Computational Biology
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Machine Learning for Diagnosis of Hematologic Diseases in Magnetic Resonance Imaging of Lumbar Spines.

Scientific reports Apr 15, 2019
We aimed to assess feasibility of a support vector machine (SVM) texture classifier to discriminate pathologic infiltration patterns from the normal bone marrows in MRI. This retrospective study included 467 cases, which were split into a training (n...
Hematologic Diseases Aged Bone Marrow Humans Support Vector Machine Male Retrospective Studies Feasibility Studies Magnetic Resonance Imaging Middle Aged Female Image Interpretation, Computer-Assisted Radiologists Datasets as Topic ROC Curve Lumbar Vertebrae
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