Machine Learning Algorithms for Predicting Factitious Disorder Using the Learning Vector Quantization Method

Seta Samsiana, Syamsul Arifin

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DOI: 10.1051/e3sconf/202450003010
Published: 2024
Container: E3S Web of Conferences
Publisher: EDP Sciences
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1051/e3sconf/202450003010,
  title = {Machine Learning Algorithms for Predicting Factitious Disorder Using the Learning Vector Quantization Method},
  author = {Seta Samsiana and Syamsul Arifin},
  year = {2024},
  journal = {E3S Web of Conferences},
  doi = {10.1051/e3sconf/202450003010},
  url = {https://doi.org/10.1051/e3sconf/202450003010}
}

RIS

TY  - JOUR
TI  - Machine Learning Algorithms for Predicting Factitious Disorder Using the Learning Vector Quantization Method
AU  - Seta Samsiana
AU  - Syamsul Arifin
PY  - 2024
JO  - E3S Web of Conferences
DO  - 10.1051/e3sconf/202450003010
UR  - https://doi.org/10.1051/e3sconf/202450003010
ER  -

APA

Samsiana, S., & Arifin, S. (2024). Machine Learning Algorithms for Predicting Factitious Disorder Using the Learning Vector Quantization Method. E3S Web of Conferences. https://doi.org/10.1051/e3sconf/202450003010

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crossref · retrieved 2026-09-25T22:05:29.299Z