---
_id: '61003'
article_number: '103228'
author:
- first_name: Tanuj
  full_name: Hasija, Tanuj
  last_name: Hasija
- first_name: Maurice
  full_name: Kuschel, Maurice
  last_name: Kuschel
- first_name: Michele
  full_name: Jackson, Michele
  last_name: Jackson
- first_name: Stephanie
  full_name: Dailey, Stephanie
  last_name: Dailey
- first_name: Henric
  full_name: Menne, Henric
  last_name: Menne
- first_name: Claus
  full_name: Reinsberger, Claus
  last_name: Reinsberger
- first_name: Solveig
  full_name: Vieluf, Solveig
  last_name: Vieluf
- first_name: Tobias
  full_name: Loddenkemper, Tobias
  last_name: Loddenkemper
citation:
  ama: Hasija T, Kuschel M, Jackson M, et al. Improving wearable-based seizure prediction
    by feature fusion using an explainable growing network. <i>Artificial Intelligence
    in Medicine</i>. 2025;169. doi:<a href="https://doi.org/10.1016/j.artmed.2025.103228">10.1016/j.artmed.2025.103228</a>
  apa: Hasija, T., Kuschel, M., Jackson, M., Dailey, S., Menne, H., Reinsberger, C.,
    Vieluf, S., &#38; Loddenkemper, T. (2025). Improving wearable-based seizure prediction
    by feature fusion using an explainable growing network. <i>Artificial Intelligence
    in Medicine</i>, <i>169</i>, Article 103228. <a href="https://doi.org/10.1016/j.artmed.2025.103228">https://doi.org/10.1016/j.artmed.2025.103228</a>
  bibtex: '@article{Hasija_Kuschel_Jackson_Dailey_Menne_Reinsberger_Vieluf_Loddenkemper_2025,
    title={Improving wearable-based seizure prediction by feature fusion using an
    explainable growing network}, volume={169}, DOI={<a href="https://doi.org/10.1016/j.artmed.2025.103228">10.1016/j.artmed.2025.103228</a>},
    number={103228}, journal={Artificial Intelligence in Medicine}, publisher={Elsevier
    BV}, author={Hasija, Tanuj and Kuschel, Maurice and Jackson, Michele and Dailey,
    Stephanie and Menne, Henric and Reinsberger, Claus and Vieluf, Solveig and Loddenkemper,
    Tobias}, year={2025} }'
  chicago: Hasija, Tanuj, Maurice Kuschel, Michele Jackson, Stephanie Dailey, Henric
    Menne, Claus Reinsberger, Solveig Vieluf, and Tobias Loddenkemper. “Improving
    Wearable-Based Seizure Prediction by Feature Fusion Using an Explainable Growing
    Network.” <i>Artificial Intelligence in Medicine</i> 169 (2025). <a href="https://doi.org/10.1016/j.artmed.2025.103228">https://doi.org/10.1016/j.artmed.2025.103228</a>.
  ieee: 'T. Hasija <i>et al.</i>, “Improving wearable-based seizure prediction by
    feature fusion using an explainable growing network,” <i>Artificial Intelligence
    in Medicine</i>, vol. 169, Art. no. 103228, 2025, doi: <a href="https://doi.org/10.1016/j.artmed.2025.103228">10.1016/j.artmed.2025.103228</a>.'
  mla: Hasija, Tanuj, et al. “Improving Wearable-Based Seizure Prediction by Feature
    Fusion Using an Explainable Growing Network.” <i>Artificial Intelligence in Medicine</i>,
    vol. 169, 103228, Elsevier BV, 2025, doi:<a href="https://doi.org/10.1016/j.artmed.2025.103228">10.1016/j.artmed.2025.103228</a>.
  short: T. Hasija, M. Kuschel, M. Jackson, S. Dailey, H. Menne, C. Reinsberger, S.
    Vieluf, T. Loddenkemper, Artificial Intelligence in Medicine 169 (2025).
date_created: 2025-08-25T15:44:32Z
date_updated: 2025-08-25T15:47:25Z
department:
- _id: '35'
- _id: '176'
- _id: '17'
doi: 10.1016/j.artmed.2025.103228
intvolume: '       169'
language:
- iso: eng
publication: Artificial Intelligence in Medicine
publication_identifier:
  issn:
  - 0933-3657
publication_status: published
publisher: Elsevier BV
status: public
title: Improving wearable-based seizure prediction by feature fusion using an explainable
  growing network
type: journal_article
user_id: '33213'
volume: 169
year: '2025'
...
---
_id: '53970'
article_number: '101750'
author:
- first_name: Amir
  full_name: Talaei-Khoei, Amir
  last_name: Talaei-Khoei
- first_name: Madjid
  full_name: Tavana, Madjid
  id: '31858'
  last_name: Tavana
- first_name: James M.
  full_name: Wilson, James M.
  last_name: Wilson
citation:
  ama: Talaei-Khoei A, Tavana M, Wilson JM. A predictive analytics framework for identifying
    patients at risk of developing multiple medical complications caused by chronic
    diseases. <i>Artificial Intelligence in Medicine</i>. 2019;101. doi:<a href="https://doi.org/10.1016/j.artmed.2019.101750">10.1016/j.artmed.2019.101750</a>
  apa: Talaei-Khoei, A., Tavana, M., &#38; Wilson, J. M. (2019). A predictive analytics
    framework for identifying patients at risk of developing multiple medical complications
    caused by chronic diseases. <i>Artificial Intelligence in Medicine</i>, <i>101</i>,
    Article 101750. <a href="https://doi.org/10.1016/j.artmed.2019.101750">https://doi.org/10.1016/j.artmed.2019.101750</a>
  bibtex: '@article{Talaei-Khoei_Tavana_Wilson_2019, title={A predictive analytics
    framework for identifying patients at risk of developing multiple medical complications
    caused by chronic diseases}, volume={101}, DOI={<a href="https://doi.org/10.1016/j.artmed.2019.101750">10.1016/j.artmed.2019.101750</a>},
    number={101750}, journal={Artificial Intelligence in Medicine}, publisher={Elsevier
    BV}, author={Talaei-Khoei, Amir and Tavana, Madjid and Wilson, James M.}, year={2019}
    }'
  chicago: Talaei-Khoei, Amir, Madjid Tavana, and James M. Wilson. “A Predictive Analytics
    Framework for Identifying Patients at Risk of Developing Multiple Medical Complications
    Caused by Chronic Diseases.” <i>Artificial Intelligence in Medicine</i> 101 (2019).
    <a href="https://doi.org/10.1016/j.artmed.2019.101750">https://doi.org/10.1016/j.artmed.2019.101750</a>.
  ieee: 'A. Talaei-Khoei, M. Tavana, and J. M. Wilson, “A predictive analytics framework
    for identifying patients at risk of developing multiple medical complications
    caused by chronic diseases,” <i>Artificial Intelligence in Medicine</i>, vol.
    101, Art. no. 101750, 2019, doi: <a href="https://doi.org/10.1016/j.artmed.2019.101750">10.1016/j.artmed.2019.101750</a>.'
  mla: Talaei-Khoei, Amir, et al. “A Predictive Analytics Framework for Identifying
    Patients at Risk of Developing Multiple Medical Complications Caused by Chronic
    Diseases.” <i>Artificial Intelligence in Medicine</i>, vol. 101, 101750, Elsevier
    BV, 2019, doi:<a href="https://doi.org/10.1016/j.artmed.2019.101750">10.1016/j.artmed.2019.101750</a>.
  short: A. Talaei-Khoei, M. Tavana, J.M. Wilson, Artificial Intelligence in Medicine
    101 (2019).
date_created: 2024-05-06T16:22:12Z
date_updated: 2024-05-06T16:38:58Z
department:
- _id: '277'
doi: 10.1016/j.artmed.2019.101750
intvolume: '       101'
language:
- iso: eng
publication: Artificial Intelligence in Medicine
publication_identifier:
  issn:
  - 0933-3657
publication_status: published
publisher: Elsevier BV
status: public
title: A predictive analytics framework for identifying patients at risk of developing
  multiple medical complications caused by chronic diseases
type: journal_article
user_id: '51811'
volume: 101
year: '2019'
...
