Use of machine learning for behavioral distinction of autism and ADHD

Cited by (300)

Items 101–200 of 300

1. Transdiagnostic and sex differences in cognitive profiles of autism spectrum disorder and attention‐deficit/hyperactivity disorder
   Hirokazu Doi, Chieko Kanai, Haruhisa Ohta · 2022 · Autism Research
2. Identification of central symptoms of children depression and development of two short version of Children's Depression Inventory: Based on network analysis and machine learning
   Chao Zhang, Baojuan Ye, Zhifang Guo · 2023 · Journal of Affective Disorders
3. Diagnosis of attention deficit hyperactivity disorder: A deep learning approach
   Nizar H. Alsharif, Mosleh Hmoud Al-Adhaileh, Mohammed Al‐Yaari · 2024 · AIMS Mathematics
4. A Novel Application for the Efficient and Accessible Diagnosis of ADHD Using Machine Learning (Extended Abstract)
   Shubh Khanna, William Das · 2020 · IEEE/ITU International Conference on Artificial Intelligence for Good (AI4G)
5. A data driven machine learning approach to differentiate between autism spectrum disorder and attention-deficit/hyperactivity disorder based on the best-practice diagnostic instruments for autism
   Nicole Wolff, Gregor Kohls, Judith T. Mack, Amirali Vahid, Erik M. Elster, Sanna Stroth, Luise Poustka, Charlotte S. Küpper, Stefan Roepke, Inge Kamp‐Becker et al. · 2022 · Scientific Reports
6. Behavioral and neurocognitive factors distinguishing post-traumatic stress comorbidity in substance use disorders
   David C. Houghton, Heidi M. Spratt, Lori Keyser‐Marcus, James Matthew Bjork, Gretchen N. Neigh, Kathryn A. Cunningham, Tatiana Ramey, Frederick Gerard Moeller · 2023 · Translational Psychiatry
7. Screening of Autism Spectrum Disorder using Machine Learning Approach in Accordance with DSM-5
   Shreea Bose, Prakriti Seth · 2023 · International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech)
8. Machine Learning-Based ADHD Detection From fNIRs Signal During Reverse Stroop Tasks
   Md. Maniruzzaman, Koki Hirooka, Yoichi Tomioka, Md. Al Mehedi Hasan, Yong Seok Hwang, Akiko Megumi, Akira Yasumura, Jungpil Shin · 2024 · IEEE Access
9. Machine learning in automated diagnosis of autism spectrum disorder: a comprehensive review
   Khosro Rezaee · 2025 · Computer Science Review · Retracted
10. Crowd annotations can approximate clinical autism impressions from short home videos with privacy protections
    Peter Yigitcan Washington, Brianna Chrisman, Émilie Leblanc, Kaitlyn Dunlap, Aaron Kline, Onur Cezmi Mutlu, Nate Stockham, Kelley Marie Paskov, Dennis Paul Wall · 2022 · Intelligence-Based Medicine
11. Attention Deficit Hyperactivity Disorder Assessment Based on Patient Behavior Exhibited in a Car Video Game: A Pilot Study
    Aarón Sújar, Sofía Bayona, David Delgado‐Gómez, Carolina Miguélez‐Fernández, Juan Ardoy Cuadros, Inmaculada Peñuelas‐Calvo, Enrique Baca‐García, Hilario Blasco-Fontecilla · 2022 · Brain Sciences
12. Diagnosis of attention deficit hyperactivity disorder using deep belief network based on greedy approach
    Saeed Farzi, Sahar Kianian, Ilnaz Rastkhadive · 2017 · International Symposium on Computational and Business Intelligence (ISCBI)
13. Prediction of Attention-Deficit/Hyperactivity Disorder Diagnosis Using Brief, Low-Cost Clinical Measures: A Competitive Model Evaluation
    Michael A. Mooney, Christopher Neighbor, Sarah L. Karalunas, Nathan F. Dieckmann, Molly A. Nikolas, Elizabeth K. Nousen, Jessica M. Tipsord, Xubo B. Song, Joel T. Nigg · 2022 · Clinical Psychological Science
14. Diagnosis Support Model for Autism Spectrum Disorder Using Neuroimaging Data and Xception
    Abhishek Jha, Kainat Khan, Rahul Katarya · 2023 · International Conference on Electrical, Electronics, Communication and Computers (ELEXCOM)
15. An Improved Feature Selection Algorithm for Autism Detection
    Uday Singh, Shailendra Shukla, Manoj Madhava Gore · 2022 · IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)
16. ASD-EVNet: An Ensemble Vision Network based on Facial Expression for Autism Spectrum Disorder Recognition
    Assil Jaby, Md Baharul Islam, Md Atiqur Rahman Ahad · 2023
17. Predicting Autism Spectrum Disorder in Adults Through Facial Image Analysis: A Multi-CNN with BiLSTM Model
    Anil Kumar, Umesh Chandra Jaiswal · 2025 · SN Computer Science
18. Using explainable machine learning and eye-tracking for diagnosing autism spectrum and developmental language disorders in social attention tasks
    Adoración Antolí, Francisco Javier Rodriguez-Lozano, José J. Cañas, Julia Vacas, Fátima Cuadrado, Araceli Sánchez-Raya, Carolina Pérez Dueñas, Juan Carlos Valenzuela Gámez · 2025 · Frontiers in Neuroscience
19. Comparison of Classification Algorithms of the Autism Spectrum Disorder Diagnosis
    Armin Lawi, Firman Aziz · 2018 · East Indonesia Conference on Computer and Information Technology (EIConCIT)
20. The role of machine learning in autism spectrum disorder assessment and management
    Aoife Reilly, Nicola Walsh, Daniel P. O’Reilly, Miriam Smyth, Kathleen Mary Gorman, Sarah Ostadabbas, Claire Power · 2025 · Pediatric Research
21. Designing Trustworthy AI for the Youngest Learners: An Integrated Ethical Framework and Implementation Roadmap
    Jessie Ming Sin Wong · 2026 · Early Childhood Education Journal
22. Predictive Analysis of Autism Spectrum Disorder (ASD) using Machine Learning
    Naurin Farooqi, Faisal Bukhari, Waheed Iqbal · 2021 · International Conference on Frontiers of Information Technology (FIT)
23. Leveraging video data from a digital smartphone autism therapy to train an emotion detection classifier
    Cathy Hou, Haik Kalantarian, Peter Yigitcan Washington, Kaiti Dunlap, Dennis Paul Wall · 2021 · medRxiv
24. Novel Approach for Detecting Respiratory Syncytial Virus in Pediatric Patients Using Machine Learning Models Based on Patient-Reported Symptoms: Model Development and Validation Study
    Shota Kawamoto, Yoshihiko Morikawa, Naohisa Yahagi · 2024 · JMIR Formative Research
25. Artificial intelligence for children with attention deficit/hyperactivity disorder: a scoping review
    Bo Sun, Fei Cai, Hui‐Man Huang, Bo Li, Bing Wei · 2025 · Experimental Biology and Medicine
26. A systematic review on the application of machine learning models in psychometric questionnaires for the diagnosis of attention deficit hyperactivity disorder
    Lucía Caselles-Pina, Alejandro Quesada-López, Aarón Sújar, Evan Hernandez, D. Delgado-Gómez · 2024 · European Journal of Neuroscience
27. Identification of ADHD Disorder in Children Using EEG Based on Visual Attention Task by Ensemble Deep Learning
    Swati Aggarwal, Nupur Chugh, Arnav Balyan · 2023 · Lecture notes in networks and systems
28. Psychometric properties of the French Version of the Social Responsiveness Scale in autism spectrum disorder with or without attention deficit hyperactivity disorder
    Coline Stordeur, Amélie Boële, Hugo Peyre, Richard Delorme, Éric Acquaviva · 2018 · L Encéphale
29. Fuzzy logic-based hybrid knowledge systems for the detection and diagnosis of childhood autism
    Sahar Qazi, Khalid Raza · 2021 · Elsevier eBooks
30. Autism Artificial Intelligence Performance Analysis: Five Years of Operation
    Seyed Reza Shahamiri · 2023 · IEEE International Conference on Advanced Learning Technologies (ICALT)
31. Attention and Sensory Processing in Augmented Reality: Empowering ADHD Population
    Shiva Ghasemi, Majid Behravan, Sunday David Ubur, Denis Gračanin · 2024 · Lecture notes in computer science
32. Autism spectrum disorder detection using sequential minimal optimization‐support vector machine hybrid classifier according to history of jaundice and family autism in children
    Şule Yücelbaş, Cüneyt Yücelbaş · 2021 · Concurrency and Computation Practice and Experience
33. Early Screening of Autism among Children Using Ensemble Classification Method
    Amrita Budarapu, Nara Kalyani, Seetha Maddala · 2021 · International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)
34. Prediction of Autism Spectrum Disorder using Random Forest Classifier in Adults
    A Kanchana, Rashmita Khilar · 2022 · IEEE International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA)
35. Early detection of autism spectrum disorder via deep-learning application of fMRI and machine learning for ASD children identifications
    Neethu Narayanan, K. R. Remya, Bindiya M. Varghese · 2024 · International Journal of Hybrid Intelligent Systems
36. ADHD Diagnosis Using Text Features and Predictive Machine Learning and Deep Learning Algorithms
    Nizar Alsharif, M. H. Al-Adhaileh, S. N. Alsubari, M. Al-Yaari · 2024 · Journal of Disability Research
37. Machine learning models to predict neuropsychiatric disorders in various brain tumors
    Saman Shahid, Sadaf Iftikhar · 2022 · Current Medical Research and Opinion
38. Machine learning approaches to the identification of children affected by prenatal alcohol exposure: A narrative review
    Michael Suttie, Julie A. Kable, Amanda H. Mahnke, Gretchen Bandoli · 2024 · Alcoholism Clinical and Experimental Research
39. Multiclass classification of Autism Spectrum Disorder, attention deficit hyperactivity disorder, and typically developed individuals using fMRI functional connectivity analysis
    Caroline L. Alves, Tiago Martinelli, Loriz Francisco Sallum, Francisco Aparecido Rodrigues, Thaise G. L. de O. Toutain, Joel Augusto Moura Porto, Christiane Thielemann, Patrícia de Carvalho Aguiar, Michael Moeckel · 2024 · PLoS ONE
40. A 64‐channel scheme for autism detection via scaled conjugate gradient‐based neural network classification of e lectroencephalogram ripples' complexity
    Enas Abdulhay, Maha Alafeef, Hikmat Hadoush, N. Arunkumar · 2022 · Expert Systems
41. Improving screening systems of autism using data sampling
    Alexander James Walter Scott, Yun Wang, Hussein Abdel-Jaber, Fadi Thabtah, Sayan Kumar Ray · 2021 · Technology and Health Care
42. AI for ADHD: Opportunities and Challenges
    Muhammad Mahbubur Rahman · 2023 · Journal of Attention Disorders
43. Less Is More: Machine Learning-Based Shortened Sleep Questionnaires for Efficient Clinical Practice
    Eui Min Jeong, Jae Kyoung Kim · 2024 · Sleep Medicine Research
44. Autism Data Classification Using AI Algorithms with Rules: Focused Review
    Abdulhamid Alsbakhi, Fadi Thabtah, Joan Lu · 2025 · Bioengineering
45. Pre-Clinical ASD Screening Using Multi-Biometrics-Based Systems
    Tanu Wadhera, Deepti Kakkar, Gurjot Kaur, Vasudha Menia · 2018 · Advances in medical technologies and clinical practice book series
46. Machine learning-based classification of the movements of children with profound or severe intellectual or multiple disabilities using environment data features
    Von Ralph Dane Marquez Herbuela, Tomonori Karita, Yoshiya Furukawa, Yoshinori Wada, Akihiro Toya, Shuichiro Senba, Eiko Onishi, Tatsuo Saeki · 2022 · PLoS ONE
47. Comprehensive review of EEG data classification techniques for ADHD detection using machine learning and deep learning
    Nitin Kisan Ahire, Raval N. Awale, Abhay Eknath Wagh, Directorate of Technical Education, Mumbai, India · 2023 · Romanian Journal of Pediatrics
48. Ensemble Learning Model for Screening Autism in Children
    Mofleh Al‐diabat, Najah Al-shanableh · 2019 · International Journal of Computer Science and Information Technology
49. Artificial intelligence-driven diagnosis of autism spectrum disorder in children
    Nizar H. Alsharif, Abdullah Hamoud Abdulrahman Al-Nefaie, Sultan Ahmad, Nesren S. Farhah · 2025 · Frontiers in Medicine
50. A rule-based exploratory analysis for discovery of multimodal biomarkers of ADHD using eye movement and EEG data
    Ameer Hamza Shakur, Tianchen Sun, Ji-Eun Kim, Shuai Huang · 2022 · IISE Transactions on Healthcare Systems Engineering
51. Spectral analysis of Electroretinography to differentiate autism spectrum disorder and attention deficit hyperactivity disorder.
    Sultan Mohammad Manjur, Md-Billal Hossain, Paul A. Constable, Dorothy Thompson, Fernando Marmolejo‐Ramos, Irene Lee, Hugo Fernando Posada-Quintero · 2023 · IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...)
52. Development of New Diagnostic Techniques – Machine Learning
    Delin Sun · 2017 · Advances in experimental medicine and biology
53. Machine learning in autism spectrum disorder diagnosis and treatment: techniques and applications
    Arjun Singh, Zoya Farooqui, Branden Sattler, Emily Li, Srushti Nerkar, Michael Helde, Unyime Usua · 2023 · Elsevier eBooks
54. Autism Spectrum Disorder (ASD) Identification Using Feature-Based Machine Learning Classification Model
    Anton Novianto, Mila Desi Anasanti · 2023 · IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
55. Action-Based ADHD Diagnosis in Video
    Yi-Chun Li, Yuxing Yang, Rajesh Nair, Mohsen Naqvi · 2023 · European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN)
56. A Hybrid Approach to Support the Detection of Autism Spectrum Disorder(ASD) through Machine Learning and Deep Learning Techniques
    Meghna Manoj, Praveen Joe I R · 2023 · International Conference on Advanced Computing
57. Autistic Spectrum Disorder Screening Classification with Machine Learning Approaches
    Serifat Adedamola Folorunso, Hiba Alsmadi, Ala S. Al Kafari, Gokulakannan Kandasamy · 2024 · Intelligent Methods, Systems, and Applications (IMSA)
58. How do explicit, implicit, and sociodemographic measures relate to concurrent suicidal ideation? A comparative machine learning approach
    René Freichel, Sercan Kahveci, Brian O’Shea · 2023 · Suicide and Life-Threatening Behavior
59. Classification of Autism Spectrum Disorder Data using Machine Learning Techniques
    2019 · International Journal of Engineering and Advanced Technology
60. Prediction of ADHD diagnosis using brief, low-cost, clinical measures: a competitive model evaluation
    Michael A. Mooney, Christopher Neighbor, Sarah L. Karalunas, Nathan F. Dieckmann, Molly A. Nikolas, Elizabeth K. Nousen, Jessica M. Tipsord, Xubo B. Song, Joel T. Nigg · 2021 · medRxiv
61. A systematic review of machine learning techniques to address diagnosis and treatment of autism: challenges and opportunities
    Rafael Muñoz Terol, Jesús Peral, Sandra Amador, David Gil · 2026 · Heliyon
62. Integrating artificial intelligence into neo-ecological theory
    Jessica L. Navarro · 2026 · Current Psychology
63. A Fusion Framework for Early Autism Identification Using Transformer-Based Deep Learning Approach
    Md. Fatin Nibbrash Nakib, Abu Shouaib Hasan, Mahit Kumar Paul · 2024 · International Conference on Computer and Information Technology (ICCIT)
64. ML Algorithms that have been Utilised to Classify Neuro-Developmental Disorders: A Review
    Sumit Pandey, Srishti Sharma · 2023 · International Conference on Information Systems and Computer Networks (ISCON)
65. Audio Speech Signal Analysis for Early Autism Spectrum Disorder Detection
    Assil Jaby, Md Baharul Islam · 2023 · Innovations in Intelligent Systems and Applications Conference (ASYU)
66. OptimizedFeature Selection and Transformations for Early Stage Prediction of Autism Using Supervised Machine Learning Models
    K. N. Praveena, R Mahalakshmi, Manjunath C, Ahmad Faiz Zubair, Periyasami Karthikeyan · 2023 · International Journal of Modern Education and Computer Science
67. The possibilities of natural and artificial intelligence combining in educational systems
    Afsana Abdullaeva, Elena V. Averchenko, Tat'yana Aleksandrova, Igor' Amiryan, Anna Artamonova, Timur Beterbiev, Denis Boyko, Andrey Bondarev, Elena Grebenyuk, Adrian Grosu et al. · 2023 · Publishing Center RIOR eBooks
68. Early diagnostic value of home video–based machine learning in autism spectrum disorder: a meta-analysis
    Longjie Jin, Hualei Cui, Peiyuan Zhang, Chunquan Cai · 2024 · European Journal of Pediatrics
69. Early Detection of Autism Spectrum Disorder Using AI and Machine Learning Models: A Systematic Review for Effective Intervention
    Pushpmala Nawghare, Jayashree Rajesh Prasad · 2024 · IEEE Pune Section International Conference (PuneCon)
70. Detecting ADHD through natural language processing and stylometric analysis of adolescent narratives
    Juan Barrios, Elena Poznyak, Jessica Lee Samson, Halima Rafi, Simon Gabay, Florian Cafiero, Martin Debbané · 2025 · Frontiers in Child and Adolescent Psychiatry
71. Artificial intelligence in autism spectrum disorder: A path to early detection and improved outcomes
    Prakriti Pokhrel, Surbhi Joshi, Laraib Fatima · 2025 · Asian Journal of Psychiatry
72. EMD-based analysis of complexity with dissociated EEG amplitude and frequency information: a data-driven robust tool -for Autism diagnosis- compared to multi-scale entropy approach
    Enas Abdulhay, Maha Alafeef, Hikmat Hadoush, V. Venkataraman, N. Arunkumar · 2022 · Mathematical Biosciences & Engineering
73. A Clinical Validity-Preserving Machine Learning Approach for Behavioral Assessment of Autism Spectrum Disorder
    Abdulmalik Ahmad Lawan, Nadire Çavuş · 2022 · OBM Neurobiology
74. A Novel Pupillometric-Based Application for the Automated Detection of ADHD Using Machine Learning
    William Das, Shubh Khanna · 2020 · ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB)
75. Activity Recognition for Autism Diagnosis.
    Anish Lakkapragada, Peter Yigitcan Washington, Dennis Paul Wall · 2021 · arXiv (Cornell University)
76. Applying artificial intelligence in neurodevelopmental disorders management and research
    Siham Mohamed, Adam Ben-Jaafar, Mabel Frimpong, Subham Roy, Vivek Sanker, Princess Afia Nkrumah-Boateng, Shahzeb Imran, Ahmed Abdul Mumeen, Suhur Mohamed, Wireko Andrew Awuah · 2026 · European journal of medical research
77. A deep learning predictive classifier for autism screening and diagnosis
    Haishuai Wang, Lianhua Chi, Hong Yang, Li Li, Ziping Zhao · 2021 · Elsevier eBooks
78. A Sleep Apnea Detection Methodology Based on SE-ResNeXt Model Using Single-Lead ECG
    Tran Anh Vu, Do Thi Thu Phuong, Hoang Quang Huy, Nguyen Phan Kien, Pham Thi Viet Huong · 2024 · Journal of biomimetics, biomaterials and biomedical engineering
79. Population-based detection of children ASD/ADHD comorbidity from atypical sensory processing
    Manuel Fernández-Delgado, Sara Cruz, Eva Cernadas, Heba Alateyat, María Tubío-Fungueiriño, Adriana Sampaio, Ángel Carracedo, Montse Fernández‐Prieto · 2024 · Applied Intelligence
80. Autism Disease Prediction Using Deep Learning & Transfer Learning
    Abhishek Das, Towhidul Alam, Md. Zihad Hossain, Habiba Rashid Lamiya · 2024 · International Conference on Networking, Embedded and Wireless Systems (ICNEWS)
81. Empirical Study of Computational Intelligence Approaches for the Early Detection of Autism Spectrum Disorder
    Mst. Arifa Khatun, Md. Asraf Ali, Md. Razu Ahmed, Sheak Rashed Haider Noori, Arun Sahayadhas · 2020 · Advances in intelligent systems and computing
82. Application of machine learning in early identification and diagnosis of autistic children
    Tingting HOU, Xiao CHEN, Depeng Kong, Xiujun SHAO, Fengxun Lin, Kaiyun LI · 2022 · Advances in Psychological Science
83. Comparative of classification algorithm: Decision tree, SVM, and KNN for heart diseases prediction
    Asmianto Asmianto, Kridha Pusawidjayanti, Mochammad Hafiizh, Imam Supeno · 2022 · AIP conference proceedings
84. A Classified Mental Health Disorder (ADHD) Dataset Based on Ensemble Machine Learning from Social Media Platforms
    Sabrina Mostafij Mumu, Md. Hasibul Hoque, Nazmus Sakib · 2023 · Lecture notes in networks and systems
85. Autism Screening Prediction Based on Multi-kernel Support Vector Machine
    Ari Kusumaningsih, Cucun Very Angkoso, Andi Kurniawan Nugroho · 2023 · IEEE Information Technology International Seminar (ITIS)
86. An abbreviated Chinese dyslexia screening behavior checklist for primary school students using a machine learning approach
    Yimin Fan, Yixun Li, Mingyue Luo, Jirong Bai, M.M. Jiang, Yi Xu, Hong Li · 2024 · Behavior Research Methods
87. Simultaneous instance and feature selection for improving prediction in special education data
    Yenny Villuendas-Rey, Carmen Rey Benguría, Miltiadis Demetrios Lytras, Cornelio Yáñez-Márquéz, Oscar Camacho-Nieto · 2017 · Data Technologies and Applications
88. Comparison of Machine Learning Methods for Effective Autism Diagnosis
    D. Pavithra, A. N. Jayanthi, R. Nidhya · 2020 · Advances in intelligent systems and computing
89. Development of an Interactive Dashboard for Analyzing Autism Spectrum Disorder (ASD) Data using Machine Learning
    Avishek Saha, Dibakar Barua, Mahbub C. Mishu, Ziad Mohib, Sumaya Binte Zilani Choya · 2022 · International Journal of Information Technology and Computer Science
90. Autism Screening Tools With Machine Learning and Deep Learning Methods: A Review
    D. Pavithra, A. N. Jayanthi, R. Nidhya, S. Balamurugan · 2022
91. Multi-Modal Health Monitoring for Autism and Anxiety
    Sowmya Gali, Golkonda Ayesha Farheen, Shaik Abdul Rahim, K. Prasad Babu, K. Suresh Kumar, V. Nagamani · 2025 · International Conference on Electronics and Sustainable Communication Systems (ICESC)
92. Adaptive autism behavior prediction using improved binary whale optimization technique
    Arun Kumar Ramachandran, Vijay Franklin J · 2022 · Concurrency and Computation Practice and Experience
93. A Review of Autism Spectrum Disorder Diagnostic Tools
    Universiti Teknikal Malaysia Melaka, W.Z. Wan Azamudin, A. R. Syafeeza, Universiti Teknikal Malaysia Melaka, N. A. Ali, Universiti Teknikal Malaysia Melaka, Norazlin Kamal Nor · 2022 · International Journal of Integrated Engineering
94. Survey on Prediction of Autism Spectrum Disorder
    S S Latha, Shashwat Shrey, Shivanand Shrivastava, Shivani Singh, Yarasingu Narayana Swamy · 2023 · International Conference on Advanced Computing and Communication Systems (ICACCS)
95. A Survey on Genetic Disease − Autism Spectrum Disorder Prediction and Classification in Machine Learning
    A. Kanchana, Rashmita Khilar · 2024 · International journal of Nutrition Pharmacology Neurological Diseases
96. Understanding cultural stress and mental health among Latinos in the us: probabilistic omnidirectional inference model
    Sümeyra Sahbaz, Kazim Topuz, Seth J. Schwartz, Pablo Montero‐Zamora · 2025 · Annals of Operations Research
97. Deep Learning Techniques for Detection of Autism Spectrum Syndrome (ASS)
    Anshu Sharma, Poonam Tanwar · 2021 · Lecture notes on data engineering and communications technologies
98. Content-Centric Prediction Model for Early Autism Spectrum Disorder (ASD) Screening in Children
    Anita Vikram Shinde, Dipti D. Patil · 2022 · Lecture notes in networks and systems
99. Overcoming the Lack of Data to Improve Prediction and Treatment of Individuals with Autistic Spectrum Disorder and Attention Deficit Hyperactivity Disorder
    María del Mar Guillén, Sandra Amador, Jesús Peral, David Gil, Aya Elouali · 2022 · Lecture notes in networks and systems
100. New technologies and future trends
     Steven C. Schachter · 2020 · Handbook of clinical neurology