Neuro Intel: A System for Clinical Diagnosis of Attention Deficit Hyperactivity Disorder (ADHD) Using Artificial Intelligence

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

  • Sotirios Batsakis
  • Emmanuel Papadakis
  • Ilias Tachmazidis
  • Tianhua Chen
  • Grigoris Antoniou
  • Marios Adamou

Organisationseinheiten

Externe Organisationen

  • Technical University of Crete
  • University of Huddersfield
  • South West Yorkshire Partnership NHS Foundation Trust
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des SammelwerksIEEE ISCC 2023
Untertitel28th IEEE Symposium on Computers and Communications - Computers and Communications for the benefits of Humanity
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)9798350300482
ISBN (Print)979-8-3503-0049-9
PublikationsstatusVeröffentlicht - 2023
Veranstaltung28th IEEE Symposium on Computers and Communications, ISCC 2023 - Hybrid, Gammarth, Tunesien
Dauer: 9 Juli 202312 Juli 2023

Publikationsreihe

NameProceedings - IEEE Symposium on Computers and Communications
Band2023-July
ISSN (Print)1530-1346

Abstract

Attention-Deficit Hyperactivity Disorder (ADHD) is a mental condition characterised by a pattern of inattention, hyperactivity, and/or impulsivity that causes significant impairment across various domains. Delayed diagnosis and treatment for ADHD can be harmful to people, leading to broader mental health conditions. This paper presents a fully functional system for diagnosing ADHD using an Artificial Intelligence (AI) system called Neuro Intel. Positive results from our research has led to the development of Neuro Intel, which incorporates both expert clinician knowledge and historical clinical data using Machine Learning to assist clinicians in the diagnosis of ADHD in adults.

ASJC Scopus Sachgebiete

Ziele für nachhaltige Entwicklung

Zitieren

Neuro Intel: A System for Clinical Diagnosis of Attention Deficit Hyperactivity Disorder (ADHD) Using Artificial Intelligence. / Batsakis, Sotirios; Papadakis, Emmanuel; Tachmazidis, Ilias et al.
IEEE ISCC 2023 : 28th IEEE Symposium on Computers and Communications - Computers and Communications for the benefits of Humanity. Institute of Electrical and Electronics Engineers Inc., 2023. (Proceedings - IEEE Symposium on Computers and Communications; Band 2023-July).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Batsakis, S, Papadakis, E, Tachmazidis, I, Chen, T, Antoniou, G & Adamou, M 2023, Neuro Intel: A System for Clinical Diagnosis of Attention Deficit Hyperactivity Disorder (ADHD) Using Artificial Intelligence. in IEEE ISCC 2023 : 28th IEEE Symposium on Computers and Communications - Computers and Communications for the benefits of Humanity. Proceedings - IEEE Symposium on Computers and Communications, Bd. 2023-July, Institute of Electrical and Electronics Engineers Inc., 28th IEEE Symposium on Computers and Communications, ISCC 2023, Hybrid, Gammarth, Tunesien, 9 Juli 2023. https://doi.org/10.1109/ISCC58397.2023.10218313
Batsakis, S., Papadakis, E., Tachmazidis, I., Chen, T., Antoniou, G., & Adamou, M. (2023). Neuro Intel: A System for Clinical Diagnosis of Attention Deficit Hyperactivity Disorder (ADHD) Using Artificial Intelligence. In IEEE ISCC 2023 : 28th IEEE Symposium on Computers and Communications - Computers and Communications for the benefits of Humanity (Proceedings - IEEE Symposium on Computers and Communications; Band 2023-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCC58397.2023.10218313
Batsakis S, Papadakis E, Tachmazidis I, Chen T, Antoniou G, Adamou M. Neuro Intel: A System for Clinical Diagnosis of Attention Deficit Hyperactivity Disorder (ADHD) Using Artificial Intelligence. in IEEE ISCC 2023 : 28th IEEE Symposium on Computers and Communications - Computers and Communications for the benefits of Humanity. Institute of Electrical and Electronics Engineers Inc. 2023. (Proceedings - IEEE Symposium on Computers and Communications). doi: 10.1109/ISCC58397.2023.10218313
Batsakis, Sotirios ; Papadakis, Emmanuel ; Tachmazidis, Ilias et al. / Neuro Intel : A System for Clinical Diagnosis of Attention Deficit Hyperactivity Disorder (ADHD) Using Artificial Intelligence. IEEE ISCC 2023 : 28th IEEE Symposium on Computers and Communications - Computers and Communications for the benefits of Humanity. Institute of Electrical and Electronics Engineers Inc., 2023. (Proceedings - IEEE Symposium on Computers and Communications).
Download
@inproceedings{07ffd20505fd450c80d5accc693474c4,
title = "Neuro Intel: A System for Clinical Diagnosis of Attention Deficit Hyperactivity Disorder (ADHD) Using Artificial Intelligence",
abstract = "Attention-Deficit Hyperactivity Disorder (ADHD) is a mental condition characterised by a pattern of inattention, hyperactivity, and/or impulsivity that causes significant impairment across various domains. Delayed diagnosis and treatment for ADHD can be harmful to people, leading to broader mental health conditions. This paper presents a fully functional system for diagnosing ADHD using an Artificial Intelligence (AI) system called Neuro Intel. Positive results from our research has led to the development of Neuro Intel, which incorporates both expert clinician knowledge and historical clinical data using Machine Learning to assist clinicians in the diagnosis of ADHD in adults.",
keywords = "Artificial Intelligence, Attention-deficit hyperactivity disorder (ADHD), Diagnostic system, Knowledge Based System, Machine Learning",
author = "Sotirios Batsakis and Emmanuel Papadakis and Ilias Tachmazidis and Tianhua Chen and Grigoris Antoniou and Marios Adamou",
note = "Funding information: ACKNOWLEDGEMENT This research was partially supported by the Federal Ministry of Education and Research (BMBF), Germany under the project LeibnizKILabor with grant No. 01DD20003; 28th IEEE Symposium on Computers and Communications, ISCC 2023 ; Conference date: 09-07-2023 Through 12-07-2023",
year = "2023",
doi = "10.1109/ISCC58397.2023.10218313",
language = "English",
isbn = "979-8-3503-0049-9",
series = "Proceedings - IEEE Symposium on Computers and Communications",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "IEEE ISCC 2023",
address = "United States",

}

Download

TY - GEN

T1 - Neuro Intel

T2 - 28th IEEE Symposium on Computers and Communications, ISCC 2023

AU - Batsakis, Sotirios

AU - Papadakis, Emmanuel

AU - Tachmazidis, Ilias

AU - Chen, Tianhua

AU - Antoniou, Grigoris

AU - Adamou, Marios

N1 - Funding information: ACKNOWLEDGEMENT This research was partially supported by the Federal Ministry of Education and Research (BMBF), Germany under the project LeibnizKILabor with grant No. 01DD20003

PY - 2023

Y1 - 2023

N2 - Attention-Deficit Hyperactivity Disorder (ADHD) is a mental condition characterised by a pattern of inattention, hyperactivity, and/or impulsivity that causes significant impairment across various domains. Delayed diagnosis and treatment for ADHD can be harmful to people, leading to broader mental health conditions. This paper presents a fully functional system for diagnosing ADHD using an Artificial Intelligence (AI) system called Neuro Intel. Positive results from our research has led to the development of Neuro Intel, which incorporates both expert clinician knowledge and historical clinical data using Machine Learning to assist clinicians in the diagnosis of ADHD in adults.

AB - Attention-Deficit Hyperactivity Disorder (ADHD) is a mental condition characterised by a pattern of inattention, hyperactivity, and/or impulsivity that causes significant impairment across various domains. Delayed diagnosis and treatment for ADHD can be harmful to people, leading to broader mental health conditions. This paper presents a fully functional system for diagnosing ADHD using an Artificial Intelligence (AI) system called Neuro Intel. Positive results from our research has led to the development of Neuro Intel, which incorporates both expert clinician knowledge and historical clinical data using Machine Learning to assist clinicians in the diagnosis of ADHD in adults.

KW - Artificial Intelligence

KW - Attention-deficit hyperactivity disorder (ADHD)

KW - Diagnostic system

KW - Knowledge Based System

KW - Machine Learning

UR - http://www.scopus.com/inward/record.url?scp=85171978681&partnerID=8YFLogxK

U2 - 10.1109/ISCC58397.2023.10218313

DO - 10.1109/ISCC58397.2023.10218313

M3 - Conference contribution

AN - SCOPUS:85171978681

SN - 979-8-3503-0049-9

T3 - Proceedings - IEEE Symposium on Computers and Communications

BT - IEEE ISCC 2023

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 9 July 2023 through 12 July 2023

ER -