Currently used body surface area (BSA) formulas give satisfactory results only for individuals with typical physique, while for elderly, obese or anorectic people accurate results cannot be expected. Particularly noteworthy are the results for individuals with severe obesity (body-mass index greater than 35 kg/m2), for which BSA estimation errors reached 80%. The main goal of our study is the development of precise BSA models for specific body parts. We have achieved satisfactory results for a wide range of patients. Using regression models, such as: support vector regression, multilayer perceptron regressor, stochastic gradient descent, or ridge regression, a fourfold decrease in errors proportion is achieved. Machine learning algorithms led to reduction from 1.2 to 8 times for mean estimation error.
Authors
- Gustaw Rzyman link open in new tab ,
- prof. dr hab. inż. Grzegorz Redlarski link open in new tab ,
- dr inż. Aleksander Pałkowski link open in new tab ,
- dr inż. lek. Piotr Tojza link open in new tab ,
- prof. dr hab. inż. Marek Krawczuk link open in new tab ,
- prof. dr hab. lek. Janusz Siebert link open in new tab
Additional information
- DOI
- Digital Object Identifier link open in new tab 10.1109/iiphdw.2018.8388380
- Category
- Aktywność konferencyjna
- Type
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Language
- angielski
- Publication year
- 2018
