Alternatives and similar repositories for TrialPathfinder:

Users that are interested in TrialPathfinder are comparing it to the libraries listed below

• MASILab / pyPheWAS
  MASI Lab Implementation of PheWAS in Python
  ☆28Updated 5 months ago
• RuishanLiu / precision-cancer
  ☆13Updated 2 years ago
• EHDEN / ETL-UK-Biobank
  ETL UK-Biobank
  ☆13Updated 2 years ago
• CogStack / Foresight
  Deep Generative Modelling of Patient Timelines using Electronic Health Records
  ☆59Updated last year
• HPIMS / phe2vec
  Phe2vec: Automated Disease Phenotyping based on Unsupervised Embeddings from Electronic Health Records
  ☆24Updated 4 years ago
• huangzhii / SALMON
  SALMON: Survival Analysis Learning with Multi-Omics Neural Networks
  ☆67Updated 6 months ago
• celehs / PheCAP
  https://celehs.github.io/PheCAP/
  ☆21Updated 3 years ago
• spiros / chronological-map-phenotypes
  Machine-readable version of electronic health record phenotypes for Kuan V. and Denaxas S. et al.
  ☆48Updated 9 months ago
• mims-harvard / Clinical-knowledge-embeddings
  Unified Clinical Vocabulary Embeddings for Advancing Precision Medicine
  ☆53Updated 4 months ago
• ruoqi-liu / DeepIPW
  Code for paper "A deep learning framework for drug repurposing via emulating clinical trials on real world patient data" (Accepted to Nat…
  ☆95Updated 3 years ago
• landiisotta / convae_architecture
  ☆39Updated 3 years ago
• tatonetti-lab / onsides
  A resource of adverse drug effects extracted from FDA structured product labels
  ☆75Updated this week
• RyanWangZf / PyTrial
  PyTrial: A Comprehensive Platform for Artificial Intelligence for Drug Development
  ☆97Updated last year
• BenGlicksberg / PatientExploreR
  Dynamic visualization of Electronic Health Record data in the OMOP framework
  ☆28Updated 3 years ago
• luyang-ai4med / POPDx
  Python implementation of POPDx - Predictions for unseen, rare, and common labels.
  ☆9Updated 10 months ago
• clinicalml / omop-learn
  Python package for machine learning for healthcare using a OMOP common data model
  ☆108Updated last year
• BrunakSanderLabs / CancerRiskNet
  ☆64Updated last year
• OHDSI / Criteria2Query
  [In Development] An application to parse freetext inclusion criteria and produce a structured cohort definition that can be executed agai…
  ☆65Updated 8 months ago
• saphir746 / BiobankRead-Bash
  Python scripts to extract and pre-process UKB data
  ☆31Updated 5 years ago
• snap-stanford / planet
  PlaNet: Predicting population response to drugs via clinical knowledge graph
  ☆25Updated last month
• ltscomputingllc / faersdbstats
  Generate safety signal statistics from FDA FAERS data
  ☆49Updated 10 months ago
• ZhiGroup / pytorch_ehr
  source codes based on PyTorch to analyze EHR
  ☆135Updated last year
• MadhumitaSushil / OncLLMExtraction
  Expert-Curated Oncology Reports to Advance Language Model Inference
  ☆27Updated last year
• PathologyDataScience / SurvivalNet
  Deep learning survival models
  ☆119Updated 2 years ago
• jvfe / pytrials
  Python package that wraps around the ClinicalTrials.gov API
  ☆53Updated 11 months ago
• philipdarke / ukbb-ehr-data
  Prepare UK Biobank Electronic Health Record data for research
  ☆26Updated 2 years ago
• Dana-Farber-AIOS / GPT4DFCI
  A private and secure generative AI tool, based on GPT-4 and deployed for non-clinical use at Dana-Farber Cancer Institute
  ☆60Updated 2 months ago
• OHDSI / OMOP-Queries
  ☆27Updated 6 years ago
• PhilAppleby / ukbb-srmed
  Text matching UK Biobank Self-Reported medication descriptions for medication classification
  ☆24Updated 3 years ago
• theislab / ehrapy
  Electronic Health Record Analysis with Python.
  ☆283Updated last week