drug-recommendation

There are 3 repositories under drug-recommendation topic.

• ycq091044 / SafeDrug

  IJCAI2021: Code for SafeDrug, MIMIC data processing, Medical code mapping

  drug-moleculesdrug-recommendationgraph-neural-networksmimic-iii
  Language:Python 62

• anurag-b72 / medicine-recommendation-system

  The "Medicine Recommendation System" is designed to provide suggestions for alternative or substitute medications based on a search query, with the primary goal of offering viable replacements for the specified medicine.

  drug-recommendationrecommendation-enginerecommendation-systemmedicine-recommendationjupyter-notebookpythonmachine-learning
  Language:Jupyter Notebook 23

• ycq091044 / ManyDG

  ICLR 2023 paper - ManyDG - Dataset processing and mode codes

  domain-generalizationdrug-recommendationhealthcare-applicationsleep-stagingreadmission-predictionseizure-detection
  Language:Python 21

• ycq091044 / MICRON

  Code of MICRON, MIMIC data processing, Residual Learning

  drug-recommendationiqviamimic-iiiresidual-learning
  Language:Python 11

• yashajoshi / Drug-Recommendation-using-Review-Mining

  Analyzing the Drugs Descriptions, conditions, reviews and then recommending the medicines for each Health Condition of a Patient.

  data-miningrecommendation-systemmachine-learningdeep-learningemotional-analysisdrug-recommendationreview-miningtext-mining
  Language:Jupyter Notebook 6

• sairbarbaros / Drug-Recommender-for-Patients

  Pick the best drug for patients with 100% accuracy using decision tree algorithm.

  classificationdecision-tree-classifierdecision-treesdrug-recommendationmachine-learningmedicalmedication
  Language:Jupyter Notebook 5

• brenden-DS / Drug-Recommendation-System

  data-cleaningdata-preprocessingdrug-recommendationmachinelearningpythonstreamlitweb-appdrug-recommendation-web-apprecommendation-systemrecommender-system
  Language:Jupyter Notebook 1

• dhruvsh1997 / Advance-DBScan_Clustering_4_DrugRecommedationSystem-Using-Deep-Learning---Collaborative_Filtering

  This project develops a drug recommendation system using sentiment analysis of reviews. It employs Collaborative Filtering, Novel ADBScan Clustering, and a Deep Learning approach of BiLSTM with GWO optimization. The goal is to provide personalized medication recommendations by analyzing patients' profiles. dataset is "UCI ML Drug Review dataset."

  bilstmcollaborative-filteringdbscandrug-recommendationreccomendersystemadvance-clusteringgray-wolf-optimizer
  Language:Jupyter Notebook 1