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

Clinical Information and Decision Making (1423)

Published on in Vol 16, No 5 (2014): May

Evaluating a Web-Based Clinical Decision Support System for Language Disorders Screening in a Nursery School

Evaluating a Web-Based Clinical Decision Support System for Language Disorders Screening in a Nursery School

Evaluating a Web-Based Clinical Decision Support System for Language Disorders Screening in a Nursery School

Authors of this article:

María Luisa Martín Ruiz1 ;   Miguel Ángel Valero Duboy1 ;   Carmen Torcal Loriente2 ;   Iván Pau de la Cruz1
Article Authors Cited by (14) Tweetations (3) Metrics

Journals

  1. Martín-Ruíz M, Fernández-Aller C, Portillo E, Malagón J, del Barrio C. Developing a System for Processing Health Data of Children Using Digitalized Toys: Ethical and Privacy Concerns for the Internet of Things Paradigm. Science and Engineering Ethics 2018;24(4):1057 View
  2. Meyers D, Filkins M, Harsha Bangura A, Sharma R, Baruwal A, Pande S, Halliday S, Schwarz D, Schwarz R, Maru D. Management challenges in mHealth: failures of a mobile community health worker surveillance programme in rural Nepal. BMJ Innovations 2017;3(1):19 View
  3. Vega-Barbas M, Pau I, Ferreira J, Lebis E, Seoane F. Utilizing Smart Textiles-Enabled Sensorized Toy and Playful Interactions for Assessment of Psychomotor Development on Children. Journal of Sensors 2015;2015:1 View
  4. Robles-Bykbaev V, López-Nores M, García-Duque J, Pazos-Arias J, Arévalo-Lucero D. Evaluation of an Expert System for the Generation of Speech and Language Therapy Plans. JMIR Medical Informatics 2016;4(3):e23 View
  5. Baker J, Kohlhoff J, Onobrakpor S, Woolfenden S, Smith R, Knebel C, Eapen V. The Acceptability and Effectiveness of Web-Based Developmental Surveillance Programs: Rapid Review. JMIR mHealth and uHealth 2020;8(4):e16085 View
  6. Vázquez González S, Somodevilla García M, Pinto D, Singh V, Perez F. A computational model for speech disorders using problematic phonemes with ontological reasoning. Journal of Intelligent & Fuzzy Systems 2020;39(2):2305 View
  7. Mebrahtu T, Bloor K, Ledward A, Keenan A, Andre D, Randell R, Skyrme S, Yang H, King H, Thompson C. Effects of computerised clinical decision support systems (CDSS) on nursing and allied health professional performance and patient outcomes. Cochrane Database of Systematic Reviews 2021 View
  8. Sáiz-Manzanares M, Marticorena-Sánchez R, Arnaiz-González Á. Improvements for Therapeutic Intervention from the Use of Web Applications and Machine Learning Techniques in Different Affectations in Children Aged 0–6 Years. International Journal of Environmental Research and Public Health 2022;19(11):6558 View
  9. Thompson C, Mebrahtu T, Skyrme S, Bloor K, Andre D, Keenan A, Ledward A, Yang H, Randell R. The effects of computerised decision support systems on nursing and allied health professional performance and patient outcomes: a systematic review and user contextualisation. Health and Social Care Delivery Research 2024:1 View
  10. Sundarrajan M, Franco J. Parent-Mediated Intervention for Autistic Children Offered Through In-Person and Telepractice Modalities. Perspectives of the ASHA Special Interest Groups 2024;9(4):1217 View

Books/Policy Documents

  1. Martin-Ruiz M, Valero M, Gómez A, Torcal C. Internet of Things. IoT Infrastructures. View
  2. Robles-Bykbaev V, Guamán-Heredia M, Robles-Bykbaev Y, Lojano-Redrován J, Pesántez-Avilés F, Quisi-Peralta D, López-Nores M, Pazos-Arias J. Advances in Computing. View
  3. Santus I, Cameron M, Cardon T. Handbook of Early Intervention for Autism Spectrum Disorders. View