AI-enabled proactive mHealth with automated decision-making

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Authors

Muhammad Sulaiman¹

1. UiT The Arctic University of Norway

Conference / event

Nordic AI-meet 2021, November 2021 (Oslo, Norway)

Poster summary

The goal presented in this poster is to establish AI-enabled proactive mHealth to predict and prevent a situation promptly. With automated decision-making powered by predictive analytics to support users on accurate decisions instantly. A personalized system, that considers the uniqueness of a user. The main contribution is to establish a core framework of proactive mHealth It includes machine learning algorithms such as support vector machine (SVM), random forest (RF), decision trees (DT), regression models, artificial neural network (ANN) etc., to provide automated decision-making (ADM).

Keywords

MHealth, Artificial intelligence, Proactive health, Wearables, Automed decision-making

Research areas

Computer and Information Science , Bioinformatics and Genomics

References

No data provided

Funding

No data provided

Supplemental files

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Additional information

Competing interests

No competing interests were disclosed.

Data availability statement

Data sharing not applicable to this poster as no datasets were generated or analyzed during the current study.

Creative Commons license

Copyright © 2023 Sulaiman. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.