Machine Learning Classifiers Based on Dimensionality Reduction Techniques for the Early Diagnosis of Alzheimer's Disease Using Magnetic Resonance Imaging and Positron Emission Tomography Brain Data

Lilia Lazli. Machine Learning Classifiers Based on Dimensionality Reduction Techniques for the Early Diagnosis of Alzheimer's Disease Using Magnetic Resonance Imaging and Positron Emission Tomography Brain Data. In Davide Chicco, Angelo M. Facchiano, Erica Tavazzi, Enrico Longato, Martina Vettoretti, Anna Bernasconi 0002, Simone Avesani, Paolo Cazzaniga, editors, Computational Intelligence Methods for Bioinformatics and Biostatistics - 17th International Meeting, CIBB 2021, Virtual Event, November 15-17, 2021, Revised Selected Papers. Volume 13483 of Lecture Notes in Computer Science, pages 117-131, Springer, 2021. [doi]

@inproceedings{Lazli21,
  title = {Machine Learning Classifiers Based on Dimensionality Reduction Techniques for the Early Diagnosis of Alzheimer's Disease Using Magnetic Resonance Imaging and Positron Emission Tomography Brain Data},
  author = {Lilia Lazli},
  year = {2021},
  doi = {10.1007/978-3-031-20837-9_10},
  url = {https://doi.org/10.1007/978-3-031-20837-9_10},
  researchr = {https://researchr.org/publication/Lazli21},
  cites = {0},
  citedby = {0},
  pages = {117-131},
  booktitle = {Computational Intelligence Methods for Bioinformatics and Biostatistics - 17th International Meeting, CIBB 2021, Virtual Event, November 15-17, 2021, Revised Selected Papers},
  editor = {Davide Chicco and Angelo M. Facchiano and Erica Tavazzi and Enrico Longato and Martina Vettoretti and Anna Bernasconi 0002 and Simone Avesani and Paolo Cazzaniga},
  volume = {13483},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-20837-9},
}