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Peer-reviewedCC BYBioengineering (Basel, Switzerland)

Artificial Intelligence Algorithms for Early Detection and Risk Stratification of Type 2 Diabetes Mellitus, Multimodal Bioinformatic Phenotyping, and Its Complications: A Technical Review of Classical Machine Learning, Deep Learning, and Post-Hoc Feature Attribution

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BibTeXRIS
BibTeX
@article{anon2026artificial,
  title = {{Artificial Intelligence Algorithms for Early Detection and Risk Stratification of Type 2 Diabetes Mellitus, Multimodal Bioinformatic Phenotyping, and Its Complications: A Technical Review of Classical Machine Learning, Deep Learning, and Post-Hoc Feature Attribution}},
  journal = {Bioengineering (Basel, Switzerland)},
  year = {2026},
  month = sep,
  url = {https://europepmc.org/article/PMC/PMC13701371},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Artificial Intelligence Algorithms for Early Detection and Risk Stratification of Type 2 Diabetes Mellitus, Multimodal Bioinformatic Phenotyping, and Its Complications: A Technical Review of Classical Machine Learning, Deep Learning, and Post-Hoc Feature Attribution
PY  - 2026
DA  - 2026/09/28
JO  - Bioengineering (Basel, Switzerland)
UR  - https://europepmc.org/article/PMC/PMC13701371
SN  - 2306-5354
ER  -