Wearable and non-wearable sensors are pervasive. However, the health implications of the data they provide is not always clear for the user. In this paper we present a Decision Support System (DSS) that assists a user of a Home Blood Pressure (HBP) monitor to decide timely consultation with a doctor. While HBP is more reliable than office readings, it is more variable due to factors such as food, exercise or error in recording measurements. Our DSS is based on fuzzy rules composed of linguistic summaries of the data. The rules are designed from the current US clinical guidelines and are tuned using an evolutionary algorithm. On a dataset of 40 patients monitored over 3 months, we obtained an interrater agreement of 0.97 between the physicians and DSS trained with their data, while the average agreement between these same physicians was 0.95.

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Cited By

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Kaya ÜAkay DAyan S(2024)EEG-Based Emotion Recognition in Neuromarketing Using Fuzzy Linguistic SummarizationIEEE Transactions on Fuzzy Systems10.1109/TFUZZ.2024.339249532:8(4248-4259)Online publication date: 1-Aug-2024
https://dl.acm.org/doi/10.1109/TFUZZ.2024.3392495
Jain AKeller JPopescu M(2019)Explainable AI For Dataset Comparison2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)10.1109/FUZZ-IEEE.2019.8858911(1-7)Online publication date: 23-Jun-2019
https://dl.acm.org/doi/10.1109/FUZZ-IEEE.2019.8858911

Index Terms

A decision support system for home BP measurements
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
      1. Vagueness and fuzzy logic
2. Information systems
  1. Information systems applications
    1. Decision support systems
      1. Expert systems

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PervasiveHealth '17: Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare

May 2017

503 pages

ISBN:9781450363631

DOI:10.1145/3154862

General Chairs:
Nuria Oliver
Vodafone, Data-Pop Alliance
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Mary Czerwinski
Visualization and Interaction (VIBE) Research Group

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PervasiveHealth '17: 11th EAI International Conference on Pervasive Computing Technologies for Healthcare

May 23 - 26, 2017

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Kaya ÜAkay DAyan S(2024)EEG-Based Emotion Recognition in Neuromarketing Using Fuzzy Linguistic SummarizationIEEE Transactions on Fuzzy Systems10.1109/TFUZZ.2024.339249532:8(4248-4259)Online publication date: 1-Aug-2024
https://dl.acm.org/doi/10.1109/TFUZZ.2024.3392495
Jain AKeller JPopescu M(2019)Explainable AI For Dataset Comparison2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)10.1109/FUZZ-IEEE.2019.8858911(1-7)Online publication date: 23-Jun-2019
https://dl.acm.org/doi/10.1109/FUZZ-IEEE.2019.8858911

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Bayesian network construction using a fuzzy rule based approach for medical decision support

An Information Systems Approach to Support Decision Makers Selecting Group Decision Processes

Impacts of problem structure and computerized decision aids on decision attitudes and behaviors

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