Regional analysis of socioeconomic indicators and federated learning performance gain.

Regional analysis of socioeconomic indicators and federated learning performance gain.

<p>The table presents a systematic comparison across Brazil’s five macro-regions, linking key socioeconomic and health indicators with the study’s sample characteristics (number of hospitals and average patient cohort size per hospital). The primary outcome, the mean performance gain from fede...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας:	Roberta Moreira Wichmann (14259316) (author)
Άλλοι συγγραφείς:	Murilo Afonso Robiati Bigoto (22676715) (author), Alexandre Dias Porto Chiavegatto Filho (14259328) (author)
Έκδοση:	2025
Θέματα:	Cell Biology Ecology Cancer Science Policy Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified via parameter aggregation using ensemble aggregation strong inverse correlation maximum performance degradation benefits requires caution beneficial collaborative effect >&# 916 ;</ 19 mortality using 19 mortality prediction local patient volume statistically certain benefits statistical significance showed 0273 ]) due auc crossed zero study validates fl fl models demonstrated performance gain (< evaluated federated learning div >< p collaborative model ’ auc minus auc local data scarcity ci [– 0 gain ’ federated learning local validation universally certain statistical advantage 6307 ]) auc across – 0 volatile algorithm smallest hospital particularly evident network (< multicentric sample multicenter sample limited institutions layer perceptron iid ). high sensitivity findings underscore every site enabling mechanism despite achieving confidence intervals 500 ). 022 patients
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Παρόμοια τεκμήρια

Schematic visualization of the federated learning approaches.
ανά: Roberta Moreira Wichmann (14259316)
Έκδοση: (2025)

Comparison of predictive performance between federated and local learning models.
ανά: Roberta Moreira Wichmann (14259316)
Έκδοση: (2025)

List of variables used to predict hospitalization mortality in the federated and local learning approaches.
ανά: Roberta Moreira Wichmann (14259316)
Έκδοση: (2025)

Hospitals by region in Brazil, with a list of hospitals.
ανά: Roberta Moreira Wichmann (14259316)
Έκδοση: (2025)

Raw performance metrics for the Random Forest (RF) model.
ανά: Roberta Moreira Wichmann (14259316)
Έκδοση: (2025)

Raw performance metrics for the MLP model.
ανά: Roberta Moreira Wichmann (14259316)
Έκδοση: (2025)

Raw performance metrics for the Logistic Regression (LR) model.
ανά: Roberta Moreira Wichmann (14259316)
Έκδοση: (2025)

Evolution of the hyperparameter <i>t</i> in relation to the LR and MLP models.
ανά: Roberta Moreira Wichmann (14259316)
Έκδοση: (2025)

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ανά: Anna Beatriz Sartorio Ramos da Silva (22682186)
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Comparison of hierarchical classifier performance among four machine learning models for the early-loss, intermediate-loss, and late/no-loss groups.
ανά: Raiki Yoshimura (22676573)
Έκδοση: (2025)

Comparison of multi-class classifier performance among four machine learning models for early-loss, intermediate-loss, and late/no-loss groups.
ανά: Raiki Yoshimura (22676573)
Έκδοση: (2025)

Comparison of binary classifier performance among four machine learning models for early-loss, intermediate-loss, and late/no-loss groups.
ανά: Raiki Yoshimura (22676573)
Έκδοση: (2025)

Comparison of performance of four machine learning models for long-term graft loss prediction.
ανά: Raiki Yoshimura (22676573)
Έκδοση: (2025)

Comparison of prediction performance with previously reported metrics.
ανά: Raiki Yoshimura (22676573)
Έκδοση: (2025)

Comparison of performance of four machine learning models for early graft loss prediction.
ανά: Raiki Yoshimura (22676573)
Έκδοση: (2025)

Predicting stratified groups in the validation cohort: (A) Workflows for the multi-class classification and hierarchical classification models are illustrated.
ανά: Raiki Yoshimura (22676573)
Έκδοση: (2025)

Stratification and characterization of groups showing different graft survival: (A) UMAP visualization of the stratified derivation cohort data based on the distance matrix from the RF clustering.
ανά: Raiki Yoshimura (22676573)
Έκδοση: (2025)

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ανά: Raiki Yoshimura (22676573)
Έκδοση: (2025)

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ανά: Wenzhao Guan (16559592)
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ανά: Wenzhao Guan (16559592)
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ανά: Wenzhao Guan (16559592)
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ανά: Shalah, Mohammad Motlaq Hamdan
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ανά: Xiaohua Lin (15648866)
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