Category: Diabetes

  • A Roadmap from Data Science to BI via ML

    A Roadmap from Data Science to BI via ML

    This post describes a Data Science (DS) roadmap, with relevant business applications. It has been written for aspiring data scientists, technical experts who work with data scientists, data-driven technology stakeholders, or anyone interested in learning about what DS is and what it’s used for. Why DS: The average base salary of a data scientist in […]

  • Cloud-Native Tech Autumn 2022 Fair

    Cloud-Native Tech Autumn 2022 Fair

    Let’s dive deeper into the cloud-native tech trends and features to follow in Q4 2022 and beyond. Contents: Markets Services Serverless Cybersecurity DevSecOps ML/AI/IoT Use-Cases Events Training Explore More Infographic

  • ML/AI for Diabetes-2 Risk Management, Lifestyle/Daily-Life Support

    ML/AI for Diabetes-2 Risk Management, Lifestyle/Daily-Life Support

    In the last decade, the impact of Type-2 Diabetes (T2D) has increased to a great extent especially in developing countries. T2D is a common condition that causes the level of sugar (glucose) in the blood to become too high. T2D is responsible for very considerable morbidity, mortality. The objective of this project is to summarize recent […]

  • An AWS Comparison of ML/AI Diabetes-2 Classification Algorithms

    An AWS Comparison of ML/AI Diabetes-2 Classification Algorithms

    Featured Photo by Myriam Zilles on Unsplash In the last decade, the impact of Type-2 Diabetes (T2D) has increased to a great extent especially in developing countries. Therefore, early diagnosis and classification of T2D has become an active area of healthtech. Numerous data-driven techniques are available to control T2D. This work presents a comparative use-case study of several […]

  • 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 […]