Profil

ITANI Sarah


Main Research Fields
Computer science
Mathematics
Laboratory medicine & medical technology
Library & information sciences
Electrical & electronics engineering
Main Keywords
artificial intelligence; Attention Deficit Hyperactivity Disorder; autism; Diagnosis aid; diagnosis aid;
Main Unit & Research Centers
CIPSE - Centre de recherche interdisciplinaire en Psychophysiologie et Electrophysiologie de la cognition
CRTI - Centre de Recherche en Technologie de l'Information
Main Co-authors
Fortemps, Philippe 
Lecron, Fabian 
Rossignol, Mandy 
FORTEMPS, Philippe 

Publications (total 33)

The most downloaded
57 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
39 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 presented at European Signal Processing Conference, Amsterdam, Netherlands.

Itani, S. (2019). Towards Explainable Knowledge-Guided Data Mining for Medical Diagnosis Aid: Application to Children Mental Disorders. Unpublished doctoral thesis, Université de Mons.
Jury: Fortemps, P. (Promotor), Lecron, F. (Promotor), Gosselin, B., Siebert, X., Rossignol, M., Mousseau, V., & Verscheure, O.

Itani, S., Lecron, F., & Fortemps, P. (2019). Data Mining for ADHD & ASD Prediction based on Resting-state fMRI Signals: A Literature Review. Paper presented at 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 session presented at 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 session presented at 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 session presented at The Childbrain Conference, Leuven, Belgium.

Itani, S., Lecron, F., & Fortemps, P. (15 January 2019). Data science for medical diagnosis prediction: objectives and challenges. Paper presented at 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 presented at 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 session presented at 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 presented at 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 presented at 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 session presented at 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 session presented at 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 session presented at 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 presented at 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 session presented at 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 presented at 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 presented at 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 presented at 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 session presented at 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 session presented at 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 presented at 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 presented at 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. Unpublished master thesis, Université de Mons.
Jury: Fortemps, P. (Promotor), & Lecron, F. (Promotor).

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

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