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Depression Episodes Detection in Unipolar and Bipolar Patients: A Methodology with Feature Extraction and Feature Selection with Genetic Algorithms Using Activity Motion Signal as Information Source
Research article (Mobile Information Systems, 2019) · cited 29× · AI/ML
Depression Episodes Detection in Unipolar and Bipolar Patients: A Methodology with Feature Extraction and Feature Selection with Genetic Algorithms Using Activity Motion Signal as Information Source
Summary
Depression Episodes Detection in Unipolar and Bipolar Patients: A Methodology with Feature Extraction and Feature Selection with Genetic Algorithms Using Activity Motion Signal as Information Source is a scholarly article[1].
Key Facts
Depression Episodes Detection in Unipolar and Bipolar Patients: A Methodology with Feature Extraction and Feature Selection with Genetic Algorithms Using Activity Motion Signal as Information Source's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Depression Episodes Detection in Unipolar and Bipolar Patients: A Methodology with Feature Extraction and Feature Selection with Genetic Algorithms Using Activity Motion Signal as Information Source. Retrieved May 24, 2026, from https://4ort.xyz/entity/depression-episodes-detection-in-unipolar-and-bipolar-patients-a-methodology-with-feature-extraction-and-feature-selecti
MLA“Depression Episodes Detection in Unipolar and Bipolar Patients: A Methodology with Feature Extraction and Feature Selection with Genetic Algorithms Using Activity Motion Signal as Information Source.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/depression-episodes-detection-in-unipolar-and-bipolar-patients-a-methodology-with-feature-extraction-and-feature-selecti.
BibTeX@misc{4ortxyz_depression-episodes-detection-in-unipolar-and-bipolar-patients-a-methodology-with-feature-extraction-and-feature-selecti_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Depression Episodes Detection in Unipolar and Bipolar Patients: A Methodology with Feature Extraction and Feature Selection with Genetic Algorithms Using Activity Motion Signal as Information Source}}, year = {2026}, url = {https://4ort.xyz/entity/depression-episodes-detection-in-unipolar-and-bipolar-patients-a-methodology-with-feature-extraction-and-feature-selecti}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Depression Episodes Detection in Unipolar and Bipolar Patients: A Methodology with Feature Extraction and Feature Selection with Genetic Algorithms Using Activity Motion Signal as Information Source — https://4ort.xyz/entity/depression-episodes-detection-in-unipolar-and-bipolar-patients-a-methodology-with-feature-extraction-and-feature-selecti (retrieved 2026-05-24)
