This paper is in the following e-collection/theme issue:

Infodemiology and Infoveillance (1483) Peer-to-Peer Support and Online Communities (740) Pediatrics (246) Natural Language Processing (829) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1098) Diagnostic Tools in Mental Health (287) Autism Spectrum Disorder (ASD) (132)

Published on in Vol 18, No 11 (2016): November

Online Concerns of Parents Suspecting Autism Spectrum Disorder in Their Child: Content Analysis of Signs and Automated Prediction of Risk

Online Concerns of Parents Suspecting Autism Spectrum Disorder in Their Child: Content Analysis of Signs and Automated Prediction of Risk

Online Concerns of Parents Suspecting Autism Spectrum Disorder in Their Child: Content Analysis of Signs and Automated Prediction of Risk

Authors of this article:

Ayelet Ben-Sasson1 Author Orcid Image ;   Elad Yom-Tov2 Author Orcid Image
Article Authors Cited by (8) Tweetations (14) Metrics

Journals

  1. Ben-Sasson A, Robins D, Yom-Tov E. Risk Assessment for Parents Who Suspect Their Child Has Autism Spectrum Disorder: Machine Learning Approach. Journal of Medical Internet Research 2018;20(4):e134 View
  2. Krsmanović S, Grujičić R, Herrera A, Rudić N, Jeremić M, Pejović-Milovančević M. First symptoms and support / aid to families children with disoerders of Autism spectrum. Psihijatrija danas 2017;49(2):161 View
  3. Pierce K, Gazestani V, Bacon E, Courchesne E, Cheng A, Barnes C, Nalabolu S, Cha D, Arias S, Lopez L, Pham C, Gaines K, Gyurjyan G, Cook-Clark T, Karins K. Get SET Early to Identify and Treatment Refer Autism Spectrum Disorder at 1 Year and Discover Factors That Influence Early Diagnosis. The Journal of Pediatrics 2021;236:179 View
  4. Kohli M, Kar A, Sinha S. The Role of Intelligent Technologies in Early Detection of Autism Spectrum Disorder (ASD): A Scoping Review. IEEE Access 2022;10:104887 View
  5. Grazioli S, Crippa A, Buo N, Busti Ceccarelli S, Molteni M, Nobile M, Salandi A, Trabattoni S, Caselli G, Colombo P. Use of Machine Learning Models to Differentiate Neurodevelopment Conditions Through Digitally Collected Data: Cross-Sectional Questionnaire Study. JMIR Formative Research 2024;8:e54577 View

Conference Proceedings

  1. Ahmed S, Hossain M, Price K, Pranger C, Hossain M, Sharmin M. 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC). A Tale of the Social-Side of ASD View
  2. Ben-Sasson A, Ben-Sasson E, Jacobs K, Argaman E, Saig E. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. Evaluating Expert Curation in a Baby Milestone Tracking App View
  3. Ben-Sasson A, Ben-Sasson E, Jacobs K, Saig E. Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare. Baby CROINC View