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Code of article 'A two-dimensional (2-D) learning framework for Particle Swarm based feature selection'
Alzheimer Disease Prognosis
This repositary consists of all the solutions of the Quiz and Programming Assignments for the "AI for Medical Diagnosis" in Coursera by deeplearning.ai. Please use this only for reference Purpose
Binary Programming Formulation for Learning Classification Trees Using Cplex
The project comprises of different machine learning techniques for early diagnosis of BC which can improve the prognosis and chance of survival significantly.
Cancer subtypes and prognosis based on multiple transcriptomic data sets
Here you can find the code implementations in R for the methods discussed and evaluated in our paper entitled "Does Ensembling Classifiers Always Confer a Quantifiable Advantage over Selecting a Single Best Classifier for Medical Diagnosis or Prognosis?"
Readmission Prediction via Deep Contextual Embedding of Clinical Concepts
Highly customizable SVG-Based Nomogram library. Can be used as versatile Parallel Coordinate Plots as well. CDN:
2018 PKDD submission
Repository for Doctor AI project
a web application called doctORS that can assist the operating room manager to schedule operating rooms
Source code for the dynamic patient admission scheduling problem
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
Graduation Project with one team member - Feature Selection by using Binary Partical Swarm Optimization with Opposition Based Learning
Genetic algorithm to solve the problem of multi-hospital operating room scheduling of elective patients. OO-Implementation.
Graph-based Attention Model
A model to select an optimal subset of features from the target data using swarm intelligence metaheuristic-based approach-Grey Wolf Optimization(GWO). A new variant of GWO was introduced by enhancing the exploration rate of GWO and then the variant was used to introduce the enhanced binary version.
The code of AAAI20 paper "Efficient Inference of Optimal Decision Trees"
Procedures for interpretable and reliable analysis of 5-years survival and recurrence of disease for breast cancer patients.
Repository for Med2Vec project
MiME Repository
Codes and experimental results for paper《Computing Minimal Model Based on MiniSAT》
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.