Machine Learning Model to Predict diabetes

Machine Learning Model to Predict diabetes based on 9 predictors and 1 target.
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Aggiornato 25 giu 2020

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Data variables Predictors
Number of times pregnant (preg)
Plasma glucose concentration a 2 hours in an oral glucose tolerance test (plas)
Diastolic blood pressure in mm Hg (pres)
Triceps skin fold thickness in mm (skin)
2-Hour serum insulin in mu U/ml (insu)
Body mass index measured as weight in kg/(height in m)^2 (mass)
Diabetes pedigree function (pedi)
Age in years (age)
Output is 0 or 1(0 for no diabetes and 1 for diabetes

Cita come

Akhilesh Kumar (2024). Machine Learning Model to Predict diabetes (https://www.mathworks.com/matlabcentral/fileexchange/77326-machine-learning-model-to-predict-diabetes), MATLAB Central File Exchange. Recuperato .

Compatibilità della release di MATLAB
Creato con R2020a
Compatibile con R2017b e release successive
Compatibilità della piattaforma
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Versione Pubblicato Note della release
1.0.0