A deep learning framwork for lung cancer prediction
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Updated
May 9, 2017 - Python
A deep learning framwork for lung cancer prediction
Using NLP and RNN to build a clinical decision support model, taking input of structured medical record text (SOAP style records)
GenericCDSS is a web-based application, which provides the main dashboard where professionals (e.g, practitioners, nurses) can follow all the patients that are under their responsibility and some details about the state of each one.
Opioid Prescribing Support Logic Source
A weakly supervised regression approach to directly predict the probability of pathogenicity based on categorized pathogenicity classes
📄 National Science Summit 2019 CDSS Poster
Apache cTakes for clinical document annotation packaged as a spring-boot app with REST api
NHLBI Update on Selected Topics in Asthma Management
Data meant to collect doctor-patient interaction time in the simplest way possible
Store clinical guidelines and determine their interactions.
Lung Disease Pathway Computable Care Guideline Draft. Includes fake patient example
The AHRQ CDS Connect API (https://cds.ahrq.gov/cds_api) is part of the CDS Connect project, sponsored by the Agency for Healthcare Research and Quality (AHRQ), and developed under contract with AHRQ by MITRE's CAMH FFRDC.
Callable Cancer Loci - assessment of sequencing coverage for actionable and pathogenic loci in cancer
Short scripts to demonstrate data available from MolecularMatch API (api key needed). Data includes clinical trials, drugs, publications, molecular information, bioinformatics, report generation and more.
[R code] xgboost to classify female puberty status from the endocrine profile feature variable:
Virulence and Antibiotic Resistance Genes used with JASEN pipeline at the university hospital of Linköping, Sweden.
A clinical decision-support system to identify pharmacogenomics profiles based on subjects genotype of five core genes. The paper has been published in the Journal of Personalized Medicine.
Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data
covid-ht aims to provide a tool for implementing an AI layer on clinical classification effectively in order to improve detection, information availability and resource efficiency in medical environments.
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