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Machine learning analysis for assessing body composition and bone mass in HIV infected patients

Author
Perez, N.; Vegas, E.; Estany, C.
Type of activity
Presentation of work at congresses
Name of edition
9th Conference of the Eastern Mediterranean Region of the International Biometric Society
Date of publication
2017
Presentation's date
2017-05
Book of congress proceedings
9th Conference of the Eastern Mediterranean Region and the Italian Region of the International Biometric Society (EMR-IBS): Thessaloniki, Greece: may 8-12, 2017: book of abstracts
First page
36
Last page
36
Abstract
Osteoporosis is widely recognised as an important public health problem because of the significant morbidity, mortality and costs associated with its complications (fractures of the hip, spine, forearm and other skeletal sites). The body weight is associated with the bone mass, however the mediation by lean or fat body mass in of bone density is uncertain. Bone DXA examinations are used to classify the patients into normal, osteopenia and osteoporosis status by means of the World Health Organiza...
Keywords
body composition, bone mass, machine learning, osteoporosis
Group of research
GRBIO - Biostatistics and Bioinformatics Research Group

Participants

  • Perez Alvarez, Nuria  (author and speaker )
  • Vegas Lozano, Esteban  (author and speaker )
  • Estany Quera, Carla  (author and speaker )