ordikhan Goto Github PK
Name: ordikhani
Type: User
Bio: I am looking forward to working in an active environment. I am full of energy and not scared of new areas arising in analysis methods and tools. I am improving
Name: ordikhani
Type: User
Bio: I am looking forward to working in an active environment. I am full of energy and not scared of new areas arising in analysis methods and tools. I am improving
A number of machine learning models for hospital data
The output of previous steps was introduced to a modifier function. The modifier function calculated the ratio of people who had a positive class label to the total number of people covered in each cell of the chromosome matrix. To maintain the chart order and chromosome validity, the gene was increased if this ratio was higher than 50% and was decreased otherwise.
This repository contains the implementation of the PARSproject using the Cox model.
Dataste cleaning parts in machine learning
deep learning 3 laye cnn
exam
feature_selection
Calculating the risk of Framingham cardiovascular disease with Python coding language.
In this project, we have used a machine learning model for the prediction of cancers in the dataset of the Golestan cohort; the dataset is unavailable. The code of this project is written in python and implemented in the notebook.
Thesis site
Imbalanced
Calculating the risk of PROCAM cardiovascular disease with Python coding language.
Initial and install the labrary sphonix
Calculating the risk of Reynolds cardiovascular disease with Python coding language.
A few classic machine learning methods
ANN
A few classic methods of machine learning unsupervised learning
This repository contains the genetic code of the Chart-base one-dimensional representation of the CVD risk score part of the published article project ("An evolutionary machine learning algorithm for cardiovascular disease risk prediction"). The method is the non-cholesterol approach, in which each block is a 4×1 matrix representing the assessed risk at different BP intervals, thus is called the one-dimensional (1D) representation.
This repository contains the genetic code of the Chart-base two-dimensional representation of the CVD risk score part of the published article project ("An evolutionary machine learning algorithm for cardiovascular disease risk prediction"). The method is more widely used, which combines BP and cholesterol levels. The chart was composed of same-sized blocks, each representing four categories for BP and five for cholesterol, making each block a 4×5 matrix. This is the code that uses only 5 risk factor ('blood_preMIure;, 'sex', 'whr', 'cholesterol', 'age').
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.