Personalised Health Monitoring for Early Disease Detection

Katharina Proksch; Alessandro  Di Bucchianico; Sandra  Keizer; Maike  de Jongh; Marta  Regis; Roberto Rocchetta; Chenyan Hang; Larisa  Gomaz; Aljosa Marjanovic; Daphne  Nesenberend; Marc Paul  Noordman; Kayode Oshinubi; Oluwatosin  Babasola

doi:10.33774/miir-2023-mgp7g

Biomedical & Healthcare

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Personalised Health Monitoring for Early Disease Detection

31 July 2023, Version 1

Working Paper

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Abstract

Late diagnosis of cancer and cardiovascular diseases often leads to poor chances of cure at high costs. An approach which has the potential to improve the status quo by helping to detect diseases early on, and thereby increase the chances of cure and reduce the costs for treatment, are longitudinal biomarker measurements of microRNA. In this report, we investigate the concept of a personalized baseline based on analysis of variance as well as hierarchical clustering for healthy/sick groups and individual patients in real data. Furthermore, we discuss mathematical models for the detection of illnesses from longitudinal miRNA data. For validation and verification of the proposed methods we develop a data augmentation strategy to generate a large volume of longitudinal miRNA data that can be used and continuously updated.

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