PETER MACKINLAY YELLOWLEES, M.D.
Psychiatric at Stockton Blvd, Sacramento, CA
License number
California F005119
Category
Psychiatric
Type
Psychiatry
Address
Address
2230 Stockton Blvd, Sacramento, CA 95817
Phone
(916) 734-2972
Professional information
Director Of Health Informatics At University Of California Davis
Location:
Sacramento, California Area
Industry:
Higher Education
Dr. Peter M Yellowlees, Sacramento CA - MD (Doctor of Medicine)
Specialties:
Psychiatry
Address:
2230 Stockton Blvd, Sacramento 95817
(916) 734-3574 (Phone)
University of California Davis Medical Center
4860 Y St, Sacramento 95817
(916) 734-6603 (Phone)
(916) 734-3574 (Phone)
University of California Davis Medical Center
4860 Y St, Sacramento 95817
(916) 734-6603 (Phone)
Languages:
English
Education:
Medical School
Royal Free Hospital School Of Medicine, University Of London
Graduated: 1979
Royal Free Hospital School Of Medicine, University Of London
Graduated: 1979
Peter Yellowlees
Location:
Sacramento, California Area
Industry:
Medical Practice
Method And Apparatus For Assessing Psychiatric Or Physical Disorders
US Patent:
2005022, Oct 13, 2005
Filed:
Oct 3, 2003
Appl. No.:
10/530155
Inventors:
Joachim Diederich - Sohar, Oman, DE
Peter Yellowlees - Sacramento CA, US
Peter Yellowlees - Sacramento CA, US
Assignee:
THE University of Queensland - ST Lucia
International Classification:
A61B005/00
US Classification:
600300000, 128920000, 128925000
Abstract:
A method of assessing the psychological or physiological state by analyzing language cues captured from a patient. The language cues may be semantic cues (speech or written text) or visual cues (expression or body language). Key features are extracted from the language cues and compiled into a data file which is submitted to one or more pre-taught machine learning algorithms. The output of the machine learning algorithms are combined to determine the psychological or physiological state of the patient. The method of teaching the machine learning algorithms is also described. In the preferred form there are three machine learning algorithms including a support vector machine, a decision tree learning algorithm and a neural network.