Early detection and characterization of Alzheimer's disease in clinical scenarios using Bioprofile concepts and K-means

@article{Escudero2011EarlyDA,
  title={Early detection and characterization of Alzheimer's disease in clinical scenarios using Bioprofile concepts and K-means},
  author={Javier Escudero and John P. Zajicek and Emmanuel C. Ifeachor},
  journal={2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society},
  year={2011},
  pages={6470-6473}
}
Alzheimer's Disease (AD) is the most common neurodegenerative disease in elderly people. There is a need for objective means to detect AD early to allow targeted interventions and to monitor response to treatment. To help clinicians in these tasks, we propose the creation of the Bioprofile of AD. A Bioprofile should reveal key patterns of a disease in the subject's biodata. We applied k-means clustering to data features taken from the ADNI database to divide the subjects into pathologic and non… CONTINUE READING

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