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Hybrid Diagnosis Models for Autism Patients Based on Medical and Sociodemographic Features Using Machine Learning and Multicriteria Decision-Making (MCDM) Techniques: An Evaluation and Benchmarking Framework
Research article (Computational and Mathematical Methods in Medicine, 2022) · cited 35× · AI/ML
Hybrid Diagnosis Models for Autism Patients Based on Medical and Sociodemographic Features Using Machine Learning and Multicriteria Decision-Making (MCDM) Techniques: An Evaluation and Benchmarking Framework
Summary
Hybrid Diagnosis Models for Autism Patients Based on Medical and Sociodemographic Features Using Machine Learning and Multicriteria Decision-Making (MCDM) Techniques: An Evaluation and Benchmarking Framework is a scholarly article[1].
Key Facts
Hybrid Diagnosis Models for Autism Patients Based on Medical and Sociodemographic Features Using Machine Learning and Multicriteria Decision-Making (MCDM) Techniques: An Evaluation and Benchmarking Framework's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Hybrid Diagnosis Models for Autism Patients Based on Medical and Sociodemographic Features Using Machine Learning and Multicriteria Decision-Making (MCDM) Techniques: An Evaluation and Benchmarking Framework. Retrieved May 24, 2026, from https://4ort.xyz/entity/hybrid-diagnosis-models-for-autism-patients-based-on-medical-and-sociodemographic-features-using-machine-learning-and-mu
MLA“Hybrid Diagnosis Models for Autism Patients Based on Medical and Sociodemographic Features Using Machine Learning and Multicriteria Decision-Making (MCDM) Techniques: An Evaluation and Benchmarking Framework.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hybrid-diagnosis-models-for-autism-patients-based-on-medical-and-sociodemographic-features-using-machine-learning-and-mu.
BibTeX@misc{4ortxyz_hybrid-diagnosis-models-for-autism-patients-based-on-medical-and-sociodemographic-features-using-machine-learning-and-mu_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Hybrid Diagnosis Models for Autism Patients Based on Medical and Sociodemographic Features Using Machine Learning and Multicriteria Decision-Making (MCDM) Techniques: An Evaluation and Benchmarking Framework}}, year = {2026}, url = {https://4ort.xyz/entity/hybrid-diagnosis-models-for-autism-patients-based-on-medical-and-sociodemographic-features-using-machine-learning-and-mu}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Hybrid Diagnosis Models for Autism Patients Based on Medical and Sociodemographic Features Using Machine Learning and Multicriteria Decision-Making (MCDM) Techniques: An Evaluation and Benchmarking Framework — https://4ort.xyz/entity/hybrid-diagnosis-models-for-autism-patients-based-on-medical-and-sociodemographic-features-using-machine-learning-and-mu (retrieved 2026-05-24)