×
  • Select the area you would like to search.
  • ACTIVE INVESTIGATIONS Search for current projects using the investigator's name, institution, or keywords.
  • EXPERTS KNOWLEDGE BASE Enter keywords to search a list of questions and answers received and processed by the ADNI team.
  • ADNI PDFS Search any ADNI publication pdf by author, keyword, or PMID. Use an asterisk only to view all pdfs.
Principal Investigator  
Principal Investigator's Name: Matthew Baucum
Institution: University of Tennessee Knoxville
Department: Industrial Engineering
Country:
Proposed Analysis: We hope to use the ADNI data to test the optimal method of predicting Alzheimer's patients cognition scores based on biomarkers and neuroimaging variables. There is little research on how to best predict continuous outcomes (such as cognition scores) over time in disease progression, especially with a time lag. For instance, given a set of patient predictor variables at times n-2, n-1, and n, we seek to identify the best method to predict that patient's cognition score at times n+2, n+3, n+4, etc. The frontrunner methods for such prediction are currently recurrent neural networks and hidden markov models, but each method has drawbacks and it is not known which will allow for optimal prediction of cognition decline.
Additional Investigators