Stacked Deep Dense Neural Network Model to Predict Alzheimer’s Dementia Using Audio Transcript Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3161749
Abstract: Alzheimer’s disease (AD) is caused by cortical degeneration leading to memory loss and dementia. A possible criterion for the early identification of Alzheimer’s dementia is to identify the difference between positive and negative linguistic and… read more here.
Keywords: stacked deep; neural network; model; dementia ... See more keywords
An Efficient Stacked Deep Transfer Learning Model for Automated Diagnosis of Lyme Disease
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/2933015
Abstract: Lyme disease is one of the most common vector-borne infections. It typically causes cardiac illnesses, neurologic illnesses, musculoskeletal disorders, and dermatologic conditions. However, most of the time, it is poorly diagnosed due to many similarities… read more here.
Keywords: stacked deep; learning model; efficient stacked; lyme disease ... See more keywords
Protein Solvent-Accessibility Prediction by a Stacked Deep Bidirectional Recurrent Neural Network
Sign Up to like & getrecommendations! Published in 2018 at "Biomolecules"
DOI: 10.3390/biom8020033
Abstract: Residue solvent accessibility is closely related to the spatial arrangement and packing of residues. Predicting the solvent accessibility of a protein is an important step to understand its structure and function. In this work, we… read more here.
Keywords: stacked deep; network; accessibility; deep bidirectional ... See more keywords