Online ISSN: 2515-8260

Author : Beena Ullala Mata B N, Prerana Ananda Murthy, Niranjan K R, Kaliprasad C S,


A REVIEW AND CASE STUDY TO DESIGN A PROGNOSTIC MODEL FOR GOUT IN PATIENTS WITH ROSACIC ACID

Prerana Ananda Murthy, Niranjan K R, Kaliprasad C S, Beena Ullala Mata B N

European Journal of Molecular & Clinical Medicine, 2021, Volume 8, Issue 3, Pages 3476-3490

The intent of the present case study was to scrutinize the data of subjects in order to predict the onset or progression of gout. It is evident that Hyperuricemia on the long run will lead to complications such as gout in other words the condition where uric acid crystals are amassed in the joint.   The data was collected for attributes such as Uric acid levels, Creatnine levels, alcohol intake, Protein consumption, Gender, Cholesterol levels, Bile content, etc in order to determine the effect of one feature on another and to understand their influence on Uric acid variations. An attempt was made to build a prognostic model which could predict the onset of Hyperuricemia or gout, in patients who had high levels of lithic acid or uric acid. The study also was based on the fact that hormones such as oestrogen influenced the stimulation or inhibition of uric acid.
KEYWORDS: Lithic acid, Prognostic Model, Gout, Purines, Hyperuricemia, Hypouricemia,

A REVIEW AND CASE STUDY TO DESIGN A PROGNOSTIC MODEL FOR GOUT IN PATIENTS WITH ROSACIC ACID

Prerana Ananda Murthy, Niranjan K R, Kaliprasad C S, Beena Ullala Mata B N

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 11, Pages 8955-8969

The intent of the present case study was to scrutinize the data of subjects in order to predict the onset or progression of gout. It is evident that Hyperuricemia on the long run will lead to complications such as gout in other words the condition where uric acid crystals are amassed in the joint.   The data was collected for attributes such as Uric acid levels, Creatnine levels, alcohol intake, Protein consumption, Gender, Cholesterol levels, Bile content, etc in order to determine the effect of one feature on another and to understand their influence on Uric acid variations. An attempt was made to build a prognostic model which could predict the onset of Hyperuricemia or gout, in patients who had high levels of lithic acid or uric acid. The study also was based on the fact that hormones such as oestrogen influenced the stimulation or inhibition of uric acid.
KEYWORDS: Lithic acid, Prognostic Model, Gout, Purines, Hyperuricemia, Hypouricemia,