Tag: Diabetes

  • HPO-Tuned ML Diabetes-2 Prediction

    HPO-Tuned ML Diabetes-2 Prediction

    This blog was inspired by the recent tests with Machine Learning (ML) hyper-parameter optimization (HPO) and cross-validation scores for enhanced prediction of Type-2 diabetes (T2D). The basic workflow includes RandomizedSearchCV HPO and accuracy metrics: The advanced workflow includes EDA, FE, HPO, and complete X-validation: Both workflows compare several ML algorithms, SMOTE oversampling, scaling and various […]

  • HealthTech ML/AI Q3 ’22 Round-Up

    HealthTech ML/AI Q3 ’22 Round-Up

    Featured Photo by Andy Kelly on Unsplash This blog presents a Q3 ’22 summary of current healthtech ML/AI innovation methods, trends and challenges. Virtual reality, artificial intelligence, augmented reality, and machine learning are all healthcare technology trends that are going to play a vital role across the entire healthcare system. Let’s take a look at […]

  • The Application of ML/AI in Diabetes

    An American is diagnosed with diabetes every 17 seconds.  This is a follow-up contribution to the Diabetes Control and Complications Trial (DCCT), the ongoing Epidemiology of Diabetes Interventions and Complications (EDIC) study, that has continued the earlier pilot.  The objective of this study is to build a supervised machine learning (ML) model to predict whether […]

  • Diabetes Prediction using ML/AI in Python

    Diabetes is a chronic disease that continues to be a significant and global concern since it affects the entire population’s health. It is a metabolic disorder that leads to high blood sugar levels and many other problems such as stroke, kidney failure, and heart and nerve problems.  About one in seven U.S. adults has diabetes […]