A Machine Learning Approach to Predict MRI Brain Abnormalities in Preterm Infants Using Clinical Data

Arantxa M. Ortega León, Roa'a Khaled, María Inmaculada Rodríguez-García, Daniel Urda, Ignacio J. Turias. A Machine Learning Approach to Predict MRI Brain Abnormalities in Preterm Infants Using Clinical Data. In Ignacio Rojas, Olga Valenzuela, Fernando Rojas Ruiz, Luis Javier Herrera, Francisco Ortuño, editors, Bioinformatics and Biomedical Engineering - 10th International Work-Conference, IWBBIO 2023, Meloneras, Gran Canaria, Spain, July 12-14, 2023 Proceedings, Part I. Volume 13919 of Lecture Notes in Computer Science, pages 419-430, Springer, 2023. [doi]

@inproceedings{LeonKRUT23,
  title = {A Machine Learning Approach to Predict MRI Brain Abnormalities in Preterm Infants Using Clinical Data},
  author = {Arantxa M. Ortega León and Roa'a Khaled and María Inmaculada Rodríguez-García and Daniel Urda and Ignacio J. Turias},
  year = {2023},
  doi = {10.1007/978-3-031-34953-9_33},
  url = {https://doi.org/10.1007/978-3-031-34953-9_33},
  researchr = {https://researchr.org/publication/LeonKRUT23},
  cites = {0},
  citedby = {0},
  pages = {419-430},
  booktitle = {Bioinformatics and Biomedical Engineering - 10th International Work-Conference, IWBBIO 2023, Meloneras, Gran Canaria, Spain, July 12-14, 2023 Proceedings, Part I},
  editor = {Ignacio Rojas and Olga Valenzuela and Fernando Rojas Ruiz and Luis Javier Herrera and Francisco Ortuño},
  volume = {13919},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-34953-9},
}