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Predicting Diabetes Using Machine Learning

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Predicting Diabetes Using Machine Learning
In machine learning, computers apply statistical learning techniques to automatically identify patterns in data. These techniques can be used to make highly accurate predictions. Introduction to Machine Learning Eduonix Learning Solutions
Eduonix Learning Solutions Machine learning evolution
Eduonix Learning Solutions
Eduonix Learning Solutions Machine Learning Flow
Categories of Machine Learning 1. Supervised Learning 2. Unsupervised Learning 3. Reinforcement Learning 2.2 Clustering Eduonix Learning Solutions 2.1 Association Rule Learning
Machine Learning in Healthcare Applications Diagnosis in Medical Imaging Computer vision has been one of the most remarkable breakthroughs, thanks to machine learning and deep learning, and it’s a particularly active healthcare application for ML. Microsoft’s InnerEye initiative (started in 2010) is presently working on image diagnostic tools, and the team has posted a number of videos explaining their developments, including this video on machine learning for image analysis: Eduonix Learning Solutions
Treatment Queries and Suggestions Diagnosis is a very complicated process, and involves – at least for now – a myriad of factors (everything from the color of whites of a patient’s eyes to the food they have for breakfast) of which machines cannot presently collate and make sense; however, there’s little doubt that a machine might aid in helping physicians make the right considerations in diagnosis and treatment, simply by serving as an extension of scientific knowledge. Eduonix Learning Solutions
Scaled Up / Crowdsourced Medical Data Collection There is a great deal of focus on pooling data from various mobile devices in order to aggregate and make sense of more live health data. Eduonix Learning Solutions
Drug Discovery While much of the healthcare industry is a morass of laws and crisscrossing incentives of various stakeholders (hospital CEOs, doctors, nurses, patients, insurance companies, etc.), drug discovery stands out as a relatively straightforward economic value for machine learning healthcare application creators. Eduonix Learning Solutions
Robotic Surgery The da Vinci robot has gotten the bulk of attention in the robotic surgery space, and some could argue for good reason. This device allows surgeons to manipulate dextrous robotic limbs in order to perform surgeries with fine detail and in tight spaces (and with less tremors) than would be possible by the human hand alone. Eduonix Learning Solutions
Future Applications 1. Personalized Medicine 4. Automatic Treatment or Recommendation 2. Improving Performance 3. Autonomous Robotic Surgery Eduonix Learning Solutions
Eduonix Learning Solutions Infected people round the world
Diabetes is a door way to multiple diseases and the cost of therapy increases with time and prevalence of vascular complication in diabetes is alarming. Vascular Complications in Diabetes Microvascular Complication Retinopathy 23.7% Background 20% Proliferative 3.7% Nephropathy 5.5% Peri-neuropathy 27.5% Macrovascular Complication Cardiovascular disease 11.4% Peripheral vascular disease 4% Cerebrovascular accidents 0.9% Hypertension 38% Eduonix Learning Solutions
Types of Diabetes Eduonix Learning Solutions
Eduonix Learning Solutions Diabetes Symptoms
Diabetes compendium Eduonix Learning Solutions
Eduonix Learning Solutions
A complete course where you will learn to implement cutting edge machine learning algorithms to solve real world problems. We have carefully selected the projects which will cover important aspect of Machine learning such as Supervised Learning, Unsupervised learning and Neural network with deep learning. You will start with real world data available publicly to create these Machine Learnings Projects. It will be a course for serious developers but will be fun and engaging. You will learn step by step implementation and can be a professional ML developer after completing this course. Course Overview
Building real world projects in this course 1. Stock Market Clustering 2. Breast Cancer Malignancies 3. Diabetes Onset Detection 4. Credit Card Fraud Detection 5. Predicting Board Game Reviews Eduonix Learning Solutions
Pledge $15 or more Pledge $20 or more Pledge $ 25 or more Pledge $30 or more Pledge $ 50 or more Pledge $79 or more Pledge $99 or more Super Early Bird offer Machine Learning Bundle Absolute Machine Learning Pack-4 Courses 1 Year Access Pass - Early Bird 1 Year Access Pass - Access All Courses For Full 1 Year Eduonix Learning Solutions
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Predicting Diabetes Using Machine Learning

  • 1. Predicting Diabetes Using Machine Learning
  • 2. In machine learning, computers apply statistical learning techniques to automatically identify patterns in data. These techniques can be used to make highly accurate predictions. Introduction to Machine Learning Eduonix Learning Solutions
  • 6. Categories of Machine Learning 1. Supervised Learning 2. Unsupervised Learning 3. Reinforcement Learning 2.2 Clustering Eduonix Learning Solutions 2.1 Association Rule Learning
  • 7. Machine Learning in Healthcare Applications Diagnosis in Medical Imaging Computer vision has been one of the most remarkable breakthroughs, thanks to machine learning and deep learning, and it’s a particularly active healthcare application for ML. Microsoft’s InnerEye initiative (started in 2010) is presently working on image diagnostic tools, and the team has posted a number of videos explaining their developments, including this video on machine learning for image analysis: Eduonix Learning Solutions
  • 8. Treatment Queries and Suggestions Diagnosis is a very complicated process, and involves – at least for now – a myriad of factors (everything from the color of whites of a patient’s eyes to the food they have for breakfast) of which machines cannot presently collate and make sense; however, there’s little doubt that a machine might aid in helping physicians make the right considerations in diagnosis and treatment, simply by serving as an extension of scientific knowledge. Eduonix Learning Solutions
  • 9. Scaled Up / Crowdsourced Medical Data Collection There is a great deal of focus on pooling data from various mobile devices in order to aggregate and make sense of more live health data. Eduonix Learning Solutions
  • 10. Drug Discovery While much of the healthcare industry is a morass of laws and crisscrossing incentives of various stakeholders (hospital CEOs, doctors, nurses, patients, insurance companies, etc.), drug discovery stands out as a relatively straightforward economic value for machine learning healthcare application creators. Eduonix Learning Solutions
  • 11. Robotic Surgery The da Vinci robot has gotten the bulk of attention in the robotic surgery space, and some could argue for good reason. This device allows surgeons to manipulate dextrous robotic limbs in order to perform surgeries with fine detail and in tight spaces (and with less tremors) than would be possible by the human hand alone. Eduonix Learning Solutions
  • 12. Future Applications 1. Personalized Medicine 4. Automatic Treatment or Recommendation 2. Improving Performance 3. Autonomous Robotic Surgery Eduonix Learning Solutions
  • 13. Eduonix Learning Solutions Infected people round the world
  • 14. Diabetes is a door way to multiple diseases and the cost of therapy increases with time and prevalence of vascular complication in diabetes is alarming. Vascular Complications in Diabetes Microvascular Complication Retinopathy 23.7% Background 20% Proliferative 3.7% Nephropathy 5.5% Peri-neuropathy 27.5% Macrovascular Complication Cardiovascular disease 11.4% Peripheral vascular disease 4% Cerebrovascular accidents 0.9% Hypertension 38% Eduonix Learning Solutions
  • 15. Types of Diabetes Eduonix Learning Solutions
  • 19. A complete course where you will learn to implement cutting edge machine learning algorithms to solve real world problems. We have carefully selected the projects which will cover important aspect of Machine learning such as Supervised Learning, Unsupervised learning and Neural network with deep learning. You will start with real world data available publicly to create these Machine Learnings Projects. It will be a course for serious developers but will be fun and engaging. You will learn step by step implementation and can be a professional ML developer after completing this course. Course Overview
  • 20. Building real world projects in this course 1. Stock Market Clustering 2. Breast Cancer Malignancies 3. Diabetes Onset Detection 4. Credit Card Fraud Detection 5. Predicting Board Game Reviews Eduonix Learning Solutions
  • 21. Pledge $15 or more Pledge $20 or more Pledge $ 25 or more Pledge $30 or more Pledge $ 50 or more Pledge $79 or more Pledge $99 or more Super Early Bird offer Machine Learning Bundle Absolute Machine Learning Pack-4 Courses 1 Year Access Pass - Early Bird 1 Year Access Pass - Access All Courses For Full 1 Year Eduonix Learning Solutions
  • 22. Back us now on Kickstarter & grab some amazing early bird offers now! Hurry Up !! Get yourselves explored now here - https://goo.gl/hz6rfw Eduonix Learning Solutions
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