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Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
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Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
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Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
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Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
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Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
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Related Experiment Video

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Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
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The anatomy of a distributed predictive modeling framework: online learning, blockchain network, and consensus

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  • 1UCSD Health Department of Biomedical Informatics, University of California San Diego, La Jolla, California, USA.

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Summary
This summary is machine-generated.

This study details ExplorerChain, a blockchain solution for secure, cross-institutional healthcare and genomic predictive modeling. It enables model sharing while protecting patient data, with applications in cardiovascular disease and cancer research.

Keywords:
blockchain distributed ledger technologyclinical information systemsdecision support systemsonline machine learningprivacy-preserving predictive modeling

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Area of Science:

  • Blockchain technology
  • Distributed computing
  • Genomic data analysis
  • Healthcare informatics

Background:

  • Cross-institutional distributed healthcare/genomic predictive modeling is crucial for generalizable models and patient data privacy.
  • Exchanging models instead of raw data addresses privacy concerns in sensitive health information.

Purpose of the Study:

  • To present the software development implementation details of ExplorerChain, a specific blockchain-based approach for distributed healthcare/genomic predictive modeling.
  • To describe healthcare/genomic use cases including myocardial infarction prediction, cancer biomarker identification, and hospitalization length prediction.

Main Methods:

  • Introduced ExplorerChain's three core technical components: online machine learning, transaction metadata, and the Proof-of-Information-Timed (PoINT) algorithm.
  • Detailed the implementation of three specific algorithms: core, new network, and new site/data algorithms.

Main Results:

  • ExplorerChain was successfully implemented, with design details and practical development configurations illustrated.
  • The system architecture, programming languages, and open-source code repository were provided for accessibility and further development.

Conclusions:

  • Discussed key design considerations including semi-trust assumptions, data format normalization, and non-determinism.
  • Acknowledged limitations such as fixed participating sites and evolving privacy technologies, highlighting the need for further ethical and legal investigation.