Personalised Treatment Plan for Diabetes Using Machine Learning

Abstract

One major worldwide health concern is diabetes, a

chronic illness marked by high blood glucose levels. Diabetes

has always been managed in a traditional manner, but new

developments in technology and medical research highlight the

necessity of individualized treatment programs to maximize

patient outcomes. Individual patient characteristics, including

genetic predispositions, lifestyle, health problems, age, and par-

ticular glucose metabolism patterns, are taken into consideration

in a personalized treatment plan (PTP) for diabetes. This strategy

makes it possible to implement specialized interventions, such as

food advice, medication schedules, ongoing glucose monitoring,

and behavioral changes. Personalized treatments concentrate on

reducing problems and enhancing general quality of life in addi-

tion to better management. The accuracy of these individualized

approaches has been further improved by the incorporation

of big data, genetics, and artificial intelligence into diabetes

management. The significance of customized treatment plans for

diabetes management is emphasized in this abstract, as is their

potential to completely transform existing treatment paradigms

by offering more efficient and patient-centered care.