Cancer Prediction Using Data Mining using reusable libraries
by sarvan Updated: Sep 1, 2021
Solution Kit
Around the globe, people seek the help of doctors when they are ill, but they are not available due to some reason. The Cancer Disease Prediction application is end-user support and online consultation treatment. The application allows user to share their health-related metrics for cancer prediction, which processes patient details to check for various conditions that could be associated. We can use intelligent data mining techniques to guess the most accurate state of a patient's details. Various steps involved in this kit are: 1. Data Preparation 2. Data Mining 3. Pattern Recognition 4. Knowledge Representation Based on the result, the system automatically shows the result-specific doctors for further treatment. The system allows users to view doctor's details. Listed below are the best libraries that can help data mining and build a prediction system for cancer.
Pattern Recognition
ISIC2018by chvlyl
Lesion attributes segmentation for melanoma detection with multi-task U-Net
ISIC2018by chvlyl
Python
28
Version:Current
License: Permissive (MIT)
PyFeat-2.xby mrzResearchArena
Biological Feature Representation Tool form the Sequences
PyFeat-2.xby mrzResearchArena
Python
7
Version:v2.0.0
License: Strong Copyleft (GPL-3.0)
SigProfilerExtractorby AlexandrovLab
SigProfilerExtractor allows de novo extraction of mutational signatures from data generated in a matrix format. The tool identifies the number of operative mutational signatures, their activities in each sample, and the probability for each signature to cause a specific mutation type in a cancer sample. The tool makes use of SigProfilerMatrixGenerator and SigProfilerPlotting.
SigProfilerExtractorby AlexandrovLab
Python
117
Version:v1.1.4
License: Permissive (BSD-2-Clause)
treeomicsby reiterlab
Decrypting somatic mutation patterns to reveal the evolution of cancer
treeomicsby reiterlab
Python
39
Version:v1.9.2
License: Strong Copyleft (GPL-3.0)
Data Mining
2020plusby KarchinLab
Classifies genes as an oncogene, tumor suppressor gene, or as a non-driver gene by using Random Forests
2020plusby KarchinLab
Python
43
Version:v1.2.2
License: Permissive (Apache-2.0)
genome-nexusby genome-nexus
Interpreting cancer genomics data 🧬
genome-nexusby genome-nexus
Java
29
Version:v1.1.44
License: Permissive (MIT)
medical_analysis_machine_learningby eddieir
This repo is dedicated to the medical reserach for skin and breast cancer and brain tumor detection detection by using NN and SVM and vgg19
medical_analysis_machine_learningby eddieir
Python
4
Version:Current
License: Permissive (MIT)
BandWagonby Edinburgh-Genome-Foundry
🎺 Plot DNA digestion band patterns with Python
BandWagonby Edinburgh-Genome-Foundry
Python
11
Version:v0.3.1
License: Permissive (MIT)
CLOBNETby isoviita
Machine learning for clinical data mining
CLOBNETby isoviita
JavaScript
1
Version:Current
License: Permissive (BSD-2-Clause)
cgtdby cancergenetrust
Decentralized distributed database of genomic and clinical data.
cgtdby cancergenetrust
Python
37
Version:v0.2.0
License: Permissive (Apache-2.0)
Histopathologic-Cancer-Detectionby ace19-dev
Kaggle Competition: Identify metastatic tissue in histopathologic scans of lymph node sections
Histopathologic-Cancer-Detectionby ace19-dev
Python
4
Version:Current
License: Permissive (MIT)
Data preparation
SONDYby AdrienGuille
An open source social media data mining software (event detection + influence analysis)
SONDYby AdrienGuille
Java
57
Version:v1.0-alpha1
License: Strong Copyleft (GPL-3.0)
label-makerby developmentseed
Data Preparation for Satellite Machine Learning
label-makerby developmentseed
Python
415
Version:0.9.1
License: Permissive (MIT)
pretrain-vl-databy lichengunc
Pre-trained V+L Data Preparation
pretrain-vl-databy lichengunc
Python
31
Version:Current
License: Permissive (MIT)
Learn2Cleanby LaureBerti
Learn2Clean: Optimizing the Sequence of Tasks for Data Preparation and Cleaning
Learn2Cleanby LaureBerti
Python
21
Version:Current
License: Permissive (BSD-3-Clause)
automated-data-preprocessingby mdkearns
A command-line utility program for automating the trivial, frequently occurring data preparation tasks: missing value interpolation, outlier removal, and encoding categorical variables.
automated-data-preprocessingby mdkearns
Python
18
Version:v1.0.0-beta
License: Permissive (MIT)
discovery-spark-engineby metatron-app
A REST server for spark jobs from metatron discovery data preparation.
discovery-spark-engineby metatron-app
Java
9
Version:Current
License: Permissive (Apache-2.0)
GCBM.Chile.Data_Preprocessingby moja-global
This repo contains all the data preparation tools used to implement the GCBM in Chile
GCBM.Chile.Data_Preprocessingby moja-global
R
1
Version:v0.9.1
License: Weak Copyleft (MPL-2.0)
Knowledge Representation
knowledge_representation_pytorchby jimmywangheng
Several knowledge graph representation algorithms implemented with pytorch
knowledge_representation_pytorchby jimmywangheng
Python
292
Version:Current
License: Permissive (MIT)
artificial-guyby sunil3590
Natural Language Processing + Knowledge Representation + Reasoning + Natural Language Generation
artificial-guyby sunil3590
Java
20
Version:Current
License: Permissive (MIT)
Fast-TransXby thunlp
An Efficient implementation of TransE and its extended models for Knowledge Representation Learning
Fast-TransXby thunlp
C++
350
Version:Current
License: Permissive (MIT)
Visualizerby ER-Visualizer
Emergency room simulator which is highly configurable and can simulate a broad range of scenarios. It can be used by medical professionals/researchers to determine bottlenecks and areas in the emergency room which would benefit most from added resources.
Visualizerby ER-Visualizer
JavaScript
9
Version:Current
License: Permissive (MIT)
ReGraphby Kappa-Dev
Tool for building graph-based hierarchical knowledge representation systems
ReGraphby Kappa-Dev
Python
38
Version:Current
License: Permissive (MIT)