Data privacy-aware machine learning approach in pancreatic cancer diagnosis

This research outlines a data privacy-aware machine learning tool for predicting PDAC. The results show that a promising approach can be presented for clinical application. Future research should expand the dataset and focus on validation by applying it to various populations.

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Publication Details

Journal
BMC Medical Informatics and Decision Making
Published
2024-09-05
DOI
https://doi.org/10.1186/s12911-024-02657-2
Citations
8
Primary Topic
Pancreatic and Hepatic Oncology Research
Type
article
Field-Weighted Citation Impact
2.26
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article

Data privacy-aware machine learning approach in pancreatic cancer diagnosis

Ömer Faruk Akmeşe
8 citations
BMC Medical Informatics and Decision Making
Pancreatic and Hepatic Oncology Research
2.26
article

Data privacy-aware machine learning approach in pancreatic cancer diagnosis

Ömer Faruk Akmeşe
article en
8 citations

Abstract

This research outlines a data privacy-aware machine learning tool for predicting PDAC. The results show that a promising approach can be presented for clinical application. Future research should expand the dataset and focus on validation by applying it to various populations.

BMC Medical Informatics and Decision MakingVol. 24(1)
Hitit Üniversitesi (TR)
Good health and well-being
Openalex Percentile: Top 10%
Pancreatic and Hepatic Oncology Research
2.26
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