Published on in Vol 5, No 1 (2020): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13611, first published .
Robust Feature Engineering for Parkinson Disease Diagnosis: New Machine Learning Techniques

Robust Feature Engineering for Parkinson Disease Diagnosis: New Machine Learning Techniques

Robust Feature Engineering for Parkinson Disease Diagnosis: New Machine Learning Techniques

Max Wang 1, BAdvComp (R&D) (Hons);  Wenbo Ge 1, BE (Hons);  Deborah Apthorp 1, 2, PhD, BPsych (Hons);  Hanna Suominen 1, 3, 4, MSc, Docent, SFHEA, PhD

1 Research School of Computer Science, College of Engineering and Computer Science, The Australian National University, Canberra, ACT , AU

2 School of Psychology, Faculty of Medicine and Health, University of New England, Armidale, NSW , AU

3 Department of Future Technologies, Faculty of Science and Engineering, University of Turku, Turku , FI

4 Machine Learning Research Group, Data61, The Commonwealth Scientific and Industrial Research Organisation (CSIRO), Canberra , AU

Corresponding Author:

  • Hanna Suominen, MSc, Docent, SFHEA, PhD
  • Research School of Computer Science
  • College of Engineering and Computer Science
  • The Australian National University
  • ANU Research School of Computer Science, Hanna Neumann Building, Room 2.35
  • 145 Science Road
  • Canberra, ACT
  • AU
  • Phone: 61 431 913 826
  • Email: hanna.suominen@anu.edu.au