Multi-headed deep learning models to detect abnormality of alzheimer’s patients

HIGHLIGHTS

• who: S. Meenakshi Ammal from the Department of Electrical and Electronics Engineering, Thiagarajar College of Engineering, Madurai, , Tamil Nadu, India have published the article: Multi-Headed Deep Learning Models to Detect Abnormality of Alzheimeru2019s Patients, in the Journal: (JOURNAL)
• what: The aim of the proposed method is to detect the cognitive decline in advance using deviation found in daily activities of the ADP. Agglomerative clustering is applied to expose the data clusters and the model transitions are executed by Markov chain and Random Forest is used for detecting human behavior patterns. For the research purpose . . .
  

   

  

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