AIMC Topic: Pattern Recognition, Automated

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Overview of the First Natural Language Processing Challenge for Extracting Medication, Indication, and Adverse Drug Events from Electronic Health Record Notes (MADE 1.0).

Drug safety Jan 1, 2019
INTRODUCTION: This work describes the Medication and Adverse Drug Events from Electronic Health Records (MADE 1.0) corpus and provides an overview of the MADE 1.0 2018 challenge for extracting medication, indication, and adverse drug events (ADEs) fr...
Drug-Related Side Effects and Adverse Reactions Pattern Recognition, Automated Medication Systems Humans Electronic Health Records Natural Language Processing
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Machine learning methods for automatic pain assessment using facial expression information: Protocol for a systematic review and meta-analysis.

Medicine Dec 1, 2018
INTRODUCTION: Prediction of pain using machine learning algorithms is an emerging field in both computer science and clinical medicine. Several machine algorithms were developed and validated in recent years. However, the majority of studies in this ...
Humans Machine Learning Diagnosis, Computer-Assisted Pattern Recognition, Automated Facial Expression Pain Measurement Systematic Reviews as Topic Meta-Analysis as Topic
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Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer.

The American journal of surgical pathology Dec 1, 2018
Advances in the quality of whole-slide images have set the stage for the clinical use of digital images in anatomic pathology. Along with advances in computer image analysis, this raises the possibility for computer-assisted diagnostics in pathology ...
Humans Proof of Concept Study Time Factors Pathology, Clinical Lymph Nodes Breast Neoplasms Neoplasm Micrometastasis Lymphatic Metastasis Image Interpretation, Computer-Assisted Diagnosis, Computer-Assisted Female Predictive Value of Tests Observer Variation Deep Learning Reproducibility of Results Biopsy Pattern Recognition, Automated Workflow
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Machine learning for psychiatric patient triaging: an investigation of cascading classifiers.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2018
OBJECTIVE: Develop an approach, One-class-at-a-time, for triaging psychiatric patients using machine learning on textual patient records. Our approach aims to automate the triaging process and reduce expert effort while providing high classification ...
Pattern Recognition, Automated Classification Medical Records Algorithms Decision Support Techniques Mental Disorders Reproducibility of Results Triage Patient Acuity Humans Machine Learning
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Towards trustable machine learning.

Nature biomedical engineering Oct 1, 2018
Colonic Polyps Biomarkers Pattern Recognition, Automated Humans Risk Factors Machine Learning Colonoscopy
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Data science and artificial intelligence to improve clinical practice and research.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2018
Artificial Intelligence Biomedical Research Data Science Pattern Recognition, Automated
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Learning Efficient Spatial-Temporal Gait Features with Deep Learning for Human Identification.

Neuroinformatics Oct 1, 2018
The integration of the latest breakthroughs in bioinformatics technology from one side and artificial intelligence from another side, enables remarkable advances in the fields of intelligent security guard computational biology, healthcare, and so on...
Humans Gait Neural Networks, Computer Pattern Recognition, Automated Deep Learning Spatial Behavior Time Factors
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Uyghur Text Matching in Graphic Images for Biomedical Semantic Analysis.

Neuroinformatics Oct 1, 2018
How to read Uyghur text from biomedical graphic images is a challenge problem due to the complex layout and cursive writing of Uyghur. In this paper, we propose a system that extracts text from Uyghur biomedical images, and matches the text in a spec...
Handwriting Pattern Recognition, Automated Biomedical Technology Humans Neural Networks, Computer Databases, Factual China Data Mining Semantics
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Texture analysis of magnetic resonance T1 mapping with dilated cardiomyopathy: A machine learning approach.

Medicine Sep 1, 2018
The diagnosis of dilated cardiomyopathy (DCM) remains a challenge in clinical radiology. This study aimed to investigate whether texture analysis (TA) parameters on magnetic resonance T1 mapping can be helpful for the diagnosis of DCM.A total of 50 D...
Cardiomyopathy, Dilated Support Vector Machine Image Interpretation, Computer-Assisted Pattern Recognition, Automated Male Middle Aged Humans Reproducibility of Results Machine Learning Aged Retrospective Studies Adult Female
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Artificial intelligence in radiology.

Nature reviews. Cancer Aug 1, 2018
Artificial intelligence (AI) algorithms, particularly deep learning, have demonstrated remarkable progress in image-recognition tasks. Methods ranging from convolutional neural networks to variational autoencoders have found myriad applications in th...
Radiology Pattern Recognition, Automated Neoplasms Deep Learning Image Processing, Computer-Assisted Humans Artificial Intelligence Machine Learning Algorithms
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