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Updated: Jan 17, 2026

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跨越边界的学习:在数据视图异质性下进行强大的临床建模的个性化联合学习

Soheila Molaei, Anshul Thakur, Lei Clifton

    IEEE journal of biomedical and health informatics
    |September 18, 2025
    PubMed
    概括

    通过新的PAFNet框架,联合学习 (FL) 有效地在各种电子健康记录 (EHR) 上培训临床模型. 它在没有复杂的预处理的情况下克服了数据异质性,增强了个性化和通用性.

    相关概念视频

    Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

    Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

    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.
    The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
    242
    Model Approaches for Pharmacokinetic Data: Compartment Models01:14

    Model Approaches for Pharmacokinetic Data: Compartment Models

    Compartmental analysis is a widely adopted approach to characterizing drug pharmacokinetics. It uses compartment models that conceptualize the body as a collection of reversibly communicating compartments, each representing a group of tissues exhibiting similar drug distribution characteristics. The movement rate of the drug between these compartments is typically described by first-order kinetics.
    Two primary types of compartment models are recognized: mammillary and catenary. The more...
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    Multicompartment Models: Overview01:14

    Multicompartment Models: Overview

    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.
    These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
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    Model Approaches for Pharmacokinetic Data: Physiological Models01:15

    Model Approaches for Pharmacokinetic Data: Physiological Models

    Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
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    Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis00:59

    Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis

    Noncompartmental analyses offer an alternative method for describing drug pharmacokinetics without relying on a specific compartmental model. In this approach, the drug's pharmacokinetics are assumed to be linear, with the terminal phase log-linear. This assumption allows for simplified analysis and interpretation of the drug's behavior in the body.
    One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This...
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    Clearance Models: Noncompartmental Models01:17

    Clearance Models: Noncompartmental Models

    Clearance is a pharmacokinetic parameter traditionally defined by compartment models, signifying the rate at which a drug is expelled from the body. However, a noncompartmental model offers an alternative method for assessing clearance, primarily employing empirical data obtained after administering a single drug dose.
    The noncompartmental approach capitalizes on extensive sampling data, correlating the volume of distribution to systemic exposure and the administered dosage. This method enables...
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