International Conference on
Blockchain and Data Science
Scientific Program
Timothy Kipkosgei Owen
Andela LC, Kenya
Title: Heart disease diagnosis
Biography:
Timz Owen is a final year student at Kabarak university doing computer science. He Runs Facebook and Google Schorlaship as a Program assistant for Andela in training over 30,000 Software Engineers in ALC and DevCWithAndela Training.He is also an Android Engineer certified by google. recently working on Machine learning with Tensorflow. I run Dsc to train university students on recent technologies including Blockchain and AI as they are the current trending technologies.
Abstract
Over one million people die yearly because of many respiratory diseases such as Emphysema, Chronic Bronchitis, pneumonia, OCPD and many more.
With Data and patterns developed whether as algorithms or neural networks, The problem remains who has to solve it in which way. Timothy kipkosgei(Kabarak university) and Sheila kemboi (Kabarak High school) came up with a trained neural network for detecting respiratory diseases.
With good analysis of data, and machine learning techniques we managed to train a model that can detect over six types of respiratory diseases using Tensorflow and data science for good manipulation of data. Sound is the main raw data of the model which is fed into the trained model with over 85% accuracy. The output of the model is displayed on a well mathploit graphed data. This enables detection beyond the normal stethoscope saving more lives and making doctors work easier.
With the patient’s data the model always trains daily to almosy 99.9% accuracy.
- History of Blockchain
- Blockchain:Building Trust
- Blockchain and Cryptoeconomics
- Blockchain in Finance Sector
- Blockchain and IoT
- Cryptocurrency: Socio-Economic Effect
- Ethical issues in Blockchain
- Big Data Analytics and Algorithms
- Machine Learning and Deep Learning
- Data Visualization
- Data and Knowledge Management
- Data Communication and Networking
