AIMC Topic: Algorithms

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Leveraging machine vision in cell-based diagnostics to do more with less.

Nature materials May 1, 2019
Biomarkers Precision Medicine Prognosis Diagnosis, Computer-Assisted Single-Cell Analysis Humans Image Processing, Computer-Assisted Machine Learning Neural Networks, Computer Cytological Techniques Diagnostic Imaging Software Biopsy Microfluidics Algorithms Diagnostic Techniques and Procedures Phenotype
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Opportunities and challenges using artificial intelligence in ADME/Tox.

Nature materials May 1, 2019
A recent conference organized a panel of scientists representing small and big pharma companies, who work at the interface of machine learning (ML) and absorption, distribution, metabolism, excretion, and toxicology (ADME/Tox). With the recent rebirt...
Decision Making Mitochondria Technology, Pharmaceutical Pharmacokinetics Congresses as Topic Drug Design Artificial Intelligence Humans Drug Discovery Machine Learning Deep Learning Algorithms Computational Biology Computer Simulation
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Using Machine Learning to Predict Lower-Extremity Injury in US Special Forces.

Medicine and science in sports and exercise May 1, 2019
INTRODUCTION: Musculoskeletal injury rates in military personnel remain unacceptably high. Application of machine learning algorithms could be useful in multivariate models to predict injury in this population. The purpose of this study was to invest...
Humans Machine Learning Algorithms Body Composition Lower Extremity Prospective Studies Athletic Injuries Knee Joint Muscle Strength Range of Motion, Articular Predictive Value of Tests Military Personnel Oxygen Consumption Risk Factors Young Adult Adult
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Development and Validation of a Deep-Learning Model to Screen for Hyperkalemia From the Electrocardiogram.

JAMA cardiology May 1, 2019
IMPORTANCE: For patients with chronic kidney disease (CKD), hyperkalemia is common, associated with fatal arrhythmias, and often asymptomatic, while guideline-directed monitoring of serum potassium is underused. A deep-learning model that enables non...
Prevalence Deep Learning Electrocardiography Renal Insufficiency, Chronic Mass Screening Arrhythmias, Cardiac Hyperkalemia Aged, 80 and over Sensitivity and Specificity Male Middle Aged Algorithms Retrospective Studies Female Aged Humans Neural Networks, Computer Artificial Intelligence
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Fair compute loads enabled by blockchain: sharing models by alternating client and server roles.

Journal of the American Medical Informatics Association : JAMIA May 1, 2019
OBJECTIVE: Decentralized privacy-preserving predictive modeling enables multiple institutions to learn a more generalizable model on healthcare or genomic data by sharing the partially trained models instead of patient-level data, while avoiding risk...
Models, Theoretical Confidentiality Information Dissemination Information Systems Machine Learning Algorithms Decision Support Systems, Clinical Genomics Computer Communication Networks Health Information Systems Blockchain Humans
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A Machine Learning-Based Predictive Model of Return to Work After Sick Leave.

Journal of occupational and environmental medicine May 1, 2019
OBJECTIVE: This study aims to build a predictive model for "return to work" (RTW) after sick leave by using a machine-learning algorithm.
Machine Learning Algorithms Databases, Factual Republic of Korea Humans Female Middle Aged Young Adult Occupational Health Adult Return to Work Male Sick Leave
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deepBioWSD: effective deep neural word sense disambiguation of biomedical text data.

Journal of the American Medical Informatics Association : JAMIA May 1, 2019
OBJECTIVE: In biomedicine, there is a wealth of information hidden in unstructured narratives such as research articles and clinical reports. To exploit these data properly, a word sense disambiguation (WSD) algorithm prevents downstream difficulties...
Medical Subject Headings Unified Medical Language System Vocabulary, Controlled Neural Networks, Computer Algorithms Deep Learning Natural Language Processing Data Mining Datasets as Topic Systematized Nomenclature of Medicine Biological Ontologies
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Avoiding common pitfalls in machine learning omic data science.

Nature materials May 1, 2019
Machine Learning Algorithms Phenotype Data Science Humans Genetic Variation Genomics Oligonucleotide Array Sequence Analysis Medical Errors Computational Biology Cell Biology Proteomics Models, Theoretical
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Social behaviour as an emergent property of embodied curiosity: a robotics perspective.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences Apr 29, 2019
Social interaction is an extremely complex yet vital component in daily life. We present a bottom-up approach for the emergence of social behaviours from the interaction of the curiosity drive, i.e. the intrinsic motivation to learn as much as possib...
Algorithms Social Behavior Learning Interpersonal Relations Robotics Exploratory Behavior
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[Deep residual convolutional neural network for recognition of electrocardiogram signal arrhythmias].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Apr 25, 2019
Electrocardiogram (ECG) signals are easily disturbed by internal and external noise, and its morphological characteristics show significant variations for different patients. Even for the same patient, its characteristics are variable under different...
Humans Sensitivity and Specificity Electrocardiography Neural Networks, Computer Arrhythmias, Cardiac Algorithms Heart Rate
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