2010 IEEE Workshop on Health Care Management (WHCM) 2010
DOI: 10.1109/whcm.2010.5441280
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Statistical toolbox in medicine for predicting effects of therapies in obesity

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Cited by 2 publications
(2 citation statements)
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“…4. Architecture of the MLP model for calculating non linear WL predictive score u A preliminary study on the feasibility of the statistical approach for obese patients was presented in Landi et al, (2010) while, a paper considering the application of ANNs in the outcome prediction of adjustable gastric banding in obese women was published in Piaggi et al, (2010). In the following, an outline on the engineering approach to this predictive tool is briefly sketched.…”
Section: Therapies In Obese Patients: a Statistical Approachmentioning
confidence: 99%
“…4. Architecture of the MLP model for calculating non linear WL predictive score u A preliminary study on the feasibility of the statistical approach for obese patients was presented in Landi et al, (2010) while, a paper considering the application of ANNs in the outcome prediction of adjustable gastric banding in obese women was published in Piaggi et al, (2010). In the following, an outline on the engineering approach to this predictive tool is briefly sketched.…”
Section: Therapies In Obese Patients: a Statistical Approachmentioning
confidence: 99%
“…4. Architecture of the MLP model for calculating non linear WL predictive score uA preliminary study on the feasibility of the statistical approach for obese patients was presented inLandi et al, (2010) while, a paper considering the application of ANNs in the outcome prediction of adjustable gastric banding in obese women was published inPiaggi et al, (2010). In the following, an outline on the engineering approach to this predictive tool is briefly sketched.…”
mentioning
confidence: 99%