AIMC Topic:
Models, Theoretical

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Design, Modelling, and Experimental Evaluation of a Compact Elastic Actuator for a Gait Assisting Exoskeleton.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Jun 1, 2019
This paper presents a Transmissive Force Sensing Elastic Actuator (TFSEA) for exoskeleton applications. Exoskeletons can serve as orthotic or rehabilitative devices enabling people with paraplegia to walk. Several exoskeletons have been commercialize...
Robotics Equipment Design Walking Humans Models, Theoretical Gait Orthotic Devices Exoskeleton Device
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[Model-based treatment in surgery].

Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen Jun 1, 2019
BACKGROUND: The "magic triangle" in surgery and other disciplines consists of the demand for increasingly gentler forms of treatment, simultaneous cost reduction and the fundamental primacy of improving the quality of results. The digitalization of m...
Humans Neural Networks, Computer Models, Theoretical Surgical Procedures, Operative
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These scientists are setting a forest on fire - and studying it with drones.

Nature May 1, 2019
Humans Fires California Wildfires Utah Forestry Models, Theoretical Research Personnel Environmental Monitoring Robotics
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Improved Interpretability of Machine Learning Model Using Unsupervised Clustering: Predicting Time to First Treatment in Chronic Lymphocytic Leukemia.

JCO clinical cancer informatics May 1, 2019
PURPOSE: Time to event is an important aspect of clinical decision making. This is particularly true when diseases have highly heterogeneous presentations and prognoses, as in chronic lymphocytic lymphoma (CLL). Although machine learning methods can ...
Reproducibility of Results Risk Factors Aged Male Middle Aged Cluster Analysis Adult Time-to-Treatment Machine Learning Leukemia, Lymphocytic, Chronic, B-Cell Kaplan-Meier Estimate Models, Theoretical Humans Prognosis Treatment Outcome Female Follow-Up Studies
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Filter feature selectors in the development of binary QSAR models.

SAR and QSAR in environmental research May 1, 2019
The application of machine learning methods to the construction of quantitative structure-activity relationship models is a complex computational problem in which dimensionality reduction of the representation of the molecular structure plays a funda...
Artificial Intelligence Machine Learning Algorithms Quantitative Structure-Activity Relationship Models, Theoretical Pattern Recognition, Automated
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How to develop machine learning models for healthcare.

Nature materials May 1, 2019
Radiotherapy Planning, Computer-Assisted Medical Informatics Cardiovascular Diseases Echocardiography Drug Discovery Models, Theoretical Predictive Value of Tests Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Prognosis Reproducibility of Results Diagnostic Errors Diabetic Retinopathy Machine Learning Algorithms Humans
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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...
Machine Learning Algorithms Decision Support Systems, Clinical Humans Information Dissemination Information Systems Computer Communication Networks Health Information Systems Genomics Models, Theoretical Confidentiality Blockchain
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Avoiding common pitfalls in machine learning omic data science.

Nature materials May 1, 2019
Cell Biology Algorithms Humans Oligonucleotide Array Sequence Analysis Models, Theoretical Genomics Phenotype Machine Learning Medical Errors Genetic Variation Data Science Computational Biology Proteomics
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ASN-ASAS SYMPOSIUM: FUTURE OF DATA ANALYTICS IN NUTRITION: Mathematical modeling in ruminant nutrition: approaches and paradigms, extant models, and thoughts for upcoming predictive analytics1,2.

Journal of animal science Apr 29, 2019
This paper outlines typical terminology for modeling and highlights key historical and forthcoming aspects of mathematical modeling. Mathematical models (MM) are mental conceptualizations, enclosed in a virtual domain, whose purpose is to translate r...
Animals Animal Nutritional Physiological Phenomena Artificial Intelligence Data Science Systems Analysis Models, Theoretical Machine Learning Ruminants Computer Simulation
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Memory and mental time travel in humans and social robots.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences Apr 29, 2019
From neuroscience, brain imaging and the psychology of memory, we are beginning to assemble an integrated theory of the brain subsystems and pathways that allow the compression, storage and reconstruction of memories for past events and their use in ...
Social Behavior Time Factors Travel Humans Cognition Models, Theoretical Machine Learning Robotics Memory, Episodic
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