An analysis of ambulatory blood pressure monitoring using multi-label classification

  • Khalida Douibi
  • Nesma Settouti
  • Mohammed Amine Chikh
  • Jesse Read
  • Mohamed Malik Benabid
Scientific Paper


Ambulatory blood pressure monitoring (ABPM) involves measuring blood pressure by means of a tensiometer carried by the patient for a duration of 24 h, it currently occupies a central place in the diagnosis and follow-up of hypertensive patients, it provides crucial information which allows to make a specific diagnosis and adapt therapeutic attitude accordingly. The traditional analysis process suffers from different problems: it requires a lot of time and expertise, and several calculations should be performed manually by the expert, who is generally very busy. In this work, we attempt to improve the analysis of ABPM data using multi-label classification methods, where a record is associated with more than one label (class) at the same time. Seven algorithms are experimentally compared on a new multi-label ABPM-dataset. Experiments are conducted on 270 hypertensive patient records characterized by 40 attributes and associated with six labels. Results show that the multi-label modeling of ABPM data helps to investigate label dependencies and provide interesting insights, which can be integrated into the ABPM devices to dispense automatically detailed reports with possible future complications.


Ambulatory blood pressure monitoring (ABPM) Multi-label classification High blood pressure (HBP) Meka Medical dataset Medical diagnosis 


Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.


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Copyright information

© Australasian College of Physical Scientists and Engineers in Medicine 2018

Authors and Affiliations

  1. 1.Biomedical Engineering Laboratory GBMTlemcen UniversityTlemcenAlgeria
  2. 2.LIX Laboratory, École PolytechniquePalaiseauFrance
  3. 3.University Hospital Center (CHU) Sétif, Cardiology departmentSétifAlgeria

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