Profil

Itani Sarah

ORCID
0000-0003-4605-9748
Main Referenced Co-authors
FORTEMPS, Philippe  (25)
LECRON, Fabian  (25)
ROSSIGNOL, Mandy  (9)
Thanou, Dorina (2)
Doucet, Brigitte (1)
Main Referenced Keywords
artificial intelligence (3); Attention Deficit Hyperactivity Disorder (2); autism (2); Diagnosis aid (2); diagnosis aid (2);
Main Referenced Unit & Research Centers
CIPSE - Centre de recherche interdisciplinaire en Psychophysiologie et Electrophysiologie de la cognition (18)
CRTI - Centre de Recherche en Technologie de l'Information (2)
Main Referenced Disciplines
Computer science (29)
Mathematics (29)
Laboratory medicine & medical technology (18)
Library & information sciences (14)
Electrical & electronics engineering (10)

Publications (total 33)

The most downloaded
182 downloads
Itani, S., Lecron, F., & Fortemps, P. (15 March 2019). Specifics of Medical Data Mining for Diagnosis Aid: A Survey. Expert Systems with Applications, 118, 300-314. doi:10.1016/j.eswa.2018.09.056 https://hdl.handle.net/20.500.12907/39556

The most cited

47 citations (Scopus®)

Itani, S., Lecron, F., & Fortemps, P. (15 March 2019). Specifics of Medical Data Mining for Diagnosis Aid: A Survey. Expert Systems with Applications, 118, 300-314. doi:10.1016/j.eswa.2018.09.056 https://hdl.handle.net/20.500.12907/39556

Itani, S., & Rossignol, M. (2020). At the Crossroads between Psychiatry and Machine Learning: Insights into Paradigms and Challenges for Clinical Applicability. Frontiers in Psychiatry. doi:10.3389/fpsyt.2020.552262
Peer reviewed

Itani, S. (2020). La technologie au service de la santé mentale. fnrs.news, Le magazine du fonds de la recherche scientifique - FNRS, n°119 (juin 2020).

Itani, S. (2020). Towards Explainable Knowledge-Guided Data Mining for Medical Diagnosis Aid: Application to Children Mental Disorders. 4OR: A Quarterly Journal of Operations Research. doi:10.1007/s10288-020-00438-x
Peer Reviewed verified by ORBi

Doucet, B., & Itani, S. (2020). TEDDI: l'Intelligence Artificielle pour aider au diagnostic du TDAH chez les enfants? Régional-IT.

Itani, S., Lecron, F., & Fortemps, P. (16 March 2020). A One-Class Classification Decision Tree Based on Kernel Density Estimation. Applied Soft Computing, 91, 106250. doi:10.1016/j.asoc.2020.106250
Peer Reviewed verified by ORBi

Itani, S., & Thanou, D. (2020). A Graph Signal Processing Framework for the Classification of Temporal Brain Data [Paper presentation]. European Signal Processing Conference, Amsterdam, Netherlands.

Itani, S. (2019). Towards Explainable Knowledge-Guided Data Mining for Medical Diagnosis Aid: Application to Children Mental Disorders [Doctoral thesis, Université de Mons]. ORBi UMONS-University of Mons. https://orbi.umons.ac.be/handle/20.500.12907/33828

Itani, S., Lecron, F., & Fortemps, P. (2019). Data Mining for ADHD & ASD Prediction based on Resting-state fMRI Signals: A Literature Review [Paper presentation]. BNAIC/BENELEARN 2019 - The reference AI & ML conference for Belgium, Netherlands & Luxemburg, Bruxelles, Belgium. doi:10.1088/1748-0221/5/03/T03008

Itani, S., Rossignol, M., Lecron, F., & Fortemps, P. (24 May 2019). Autism in DSM-IV vs DSM-V: What if Machine Learning Could Help Us See Things More Clearly? [Poster presentation]. 13th National Congress of the Belgian Society for Neuroscience, Brussels, Belgium.

Itani, S., Rossignol, M., Lecron, F., & Fortemps, P. (26 April 2019). Towards Interpretable Machine Learning Models for Diagnosis Aid: A Case Study on Attention Deficit/Hyperactivity Disorder. PLoS ONE, 14 (4). doi:10.1371/journal.pone.0215720
Peer reviewed

Itani, S., Lecron, F., & Fortemps, P. (15 March 2019). Specifics of Medical Data Mining for Diagnosis Aid: A Survey. Expert Systems with Applications, 118, 300-314. doi:10.1016/j.eswa.2018.09.056
Peer Reviewed verified by ORBi

Itani, S., Lecron, F., & Fortemps, P. (05 March 2019). Artificial Intelligence for Medical Diagnosis: Insights into Major Paradigms [Poster presentation]. Mardi des Chercheurs, Mons, Belgium.

Itani, S., Thanou, D., Rossignol, M., Lecron, F., & Fortemps, P. (05 February 2019). Exploiting the Structure-Function Interplay of Brain Regions for the Diagnosis of Autism Spectrum Disorder: A Machine Learning Approach [Poster presentation]. The Childbrain Conference, Leuven, Belgium.

Itani, S., Lecron, F., & Fortemps, P. (15 January 2019). Data science for medical diagnosis prediction: objectives and challenges [Paper presentation]. Complex Systems think tank, Mons, Belgium.

Itani, S., Lecron, F., & Fortemps, P. (2018). A Gender-Differentiated MR-Sort Model for Diagnosis Aid of Attention Deficit Hyperactivity Disorder (ADHD) [Paper presentation]. DA2PL'2018 - From Multiple Criteria Decision Aid to Preference Learning, Poznan, Poland.

Itani, S., Rossignol, M., Lecron, F., & Fortemps, P. (19 July 2018). On the Involvement of the Limbic System in the Diagnosis of Attention Deficit Hyperactivity Disorder [Poster presentation]. International Neuropsychological Society 2018 Mid-Year Meeting, Prague, Unknown/unspecified.

Itani, S., Lecron, F., & Fortemps, P. (10 July 2018). A Novel Training Algorithm to Build Decision Trees for Anomaly Detection [Paper presentation]. EURO2018 - 29th European Conference on Operational Research, Valence, Spain.

Itani, S., Rossignol, M., Lecron, F., & Fortemps, P. (2018). Towards Sustainable Technologies for the Early Diagnosis of Mental Disorders in Children [Paper presentation]. Symposium HERA - Transmettre un monde habitable aux générations futures : l'apport de la recherche, Mons, Belgium.

Itani, S., Lecron, F., & Fortemps, P. (24 April 2018). Explainable Artificial Intelligence: the Promise of Increased Transparency in Data Processing [Poster presentation]. Quatrième journée scientifique du Pôle hainuyer - Pour une société innovante : de l'économie circulaire à l'intelligence artificielle, Mons, Belgium.

Itani, S., Lecron, F., & Fortemps, P. (28 March 2018). A Density-Based Decision Tree for One-Cass Classification [Poster presentation]. Mardi des Chercheurs 2018, Valenciennes, France.

Itani, S., Rossignol, M., Lecron, F., & Fortemps, P. (27 March 2018). What's going on, Doc? - When Machine Learning Addresses Neuropathologies with Readability [Poster presentation]. Mardi des Chercheurs 2018, Valenciennes, France.

Itani, S., Lecron, F., & Fortemps, P. (02 February 2018). A Density-based Decision Tree for One-class Classification [Paper presentation]. 32nd Annual Conference of the Belgian Operational Research Society (ORBEL 32), Liège, Belgium.

Itani, S., Lecron, F., & Fortemps, P. (01 January 2018). A Multi-level Classification Framework for Multi-site Medical Data: Application to the ADHD-200 Collection. Expert Systems with Applications, 91, 36-45. doi:10.1016/j.eswa.2017.08.044
Peer Reviewed verified by ORBi

Itani, S., Rossignol, M., Lecron, F., & Fortemps, P. (13 October 2017). A Tree-Based Decision Support System For Attention Deficit Hyperactivity Disorder Diagnosis [Poster presentation]. 57th Annual Meeting of the Society for Psychophysiological Research, Vienne , Austria.

Itani, S., Lecron, F., & Fortemps, P. (25 August 2017). Specifics of Medical Data Mining for Neurological Diagnosis Prediction [Paper presentation]. Computers in Scientific Discovery 8, Mons, Belgium.

Itani, S., Lecron, F., & Fortemps, P. (29 June 2017). Data Mining et Informatique Affective pour l'Aide au Diagnostic de Troubles Mentaux chez l'Enfant [Paper presentation]. Séminaire ONE Academy, UMONS, Belgium.

Itani, S., Rossignol, M., Lecron, F., & Fortemps, P. (31 May 2017). On Objective Models to Aid in Diagnosing Attention Deficit Hyperactivity Disorder [Paper presentation]. Annual Meeting of the Belgian Association for Psychological Science (BAPS), Bruxelles, Unknown/unspecified.

Itani, S., Lecron, F., & Fortemps, P. (25 April 2017). Kids Mental Health at the Core of Data Mining and Neuroscience Concerns: a Promising Interaction to Face Major Challenges [Poster presentation]. Troisième journée scientifique du Pôle hainuyer - Les technologies de l'information, Eurometropolitan e-campus, Froyennes, Belgium.

Itani, S., Lecron, F., & Fortemps, P. (07 March 2017). On Objective Models to Aid in Diagnosing Attention Deficit Hyperactivity Disorder [Poster presentation]. Huitième édition montoise du MdC : le Mardi des Chercheurs 2017, UMons, Belgium.

Itani, S., Lecron, F., & Fortemps, P. (03 February 2017). Statistical Analysis of Medical Data using a Multilevel Approach [Paper presentation]. 31st Annual Conference of the Belgian Operational Research Society (ORBEL 31), Bruxelles, Belgium.

Itani, S., Fortemps, P., & Lecron, F. (2016). Data Mining for Aiding Diagnosis of Attention Deficit Hyperactivity Disorder by a Multilevel Approach [Paper presentation]. Belgian-Dutch Conference on Machine Learning, BeneLearn, Courtrai, Belgium.

Itani, S. (2016). Analyse statistique de données médicales par une approche multiniveau : Aide au diagnostic du trouble du déficit de l'attention avec ou sans hyperactivité [Master’s dissertation, Université de Mons]. ORBi UMONS-University of Mons. https://orbi.umons.ac.be/handle/20.500.12907/26114

Mezmaz, M., Vandaele, A., Tuyttens, D., Itani, S., & Melab, N. (2014). Towards a Lightning Inspired Meta-Heuristic [Paper presentation]. ORBEL 28, UMONS, Mons, Belgium.

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