Topic: clinical Goto Github
Some thing interesting about clinical
Some thing interesting about clinical
clinical,C++ implementation of several image contrast enhancement techniques for clinical and normal images.
User: abbasmzs
clinical,Apache cTAKES is a Natural Language Processing (NLP) platform for clinical text.
Organization: apache
Home Page: https://ctakes.apache.org
clinical,A project to develop a realistic XR Virtual Environment using Gaussian Splatting and Unreal Engine.
User: authortom
clinical,Mutation Identification Pipeline. Read the latest documentation:
Organization: clinical-genomics
Home Page: https://clinical-genomics.gitbook.io/project-mip/
clinical,Disambiguating biomedical and clinical concepts with word embeddings
Organization: clips
clinical,A Java application designed to streamline the management of clinics offering dental and orthodontic services. This project, developed using Java Swing, provides essential tools for such clinics, making it ideal for single-doctor practices. It helps manage patients, appointments, records and more.
User: danielbatres
clinical,Metagenomics/viromics pipeline that focuses on automation, user-friendliness and a clear audit trail. Jovian aims to empower classical biologists and wet-lab personnel to do metagenomics/viromics analyses themselves, without bioinformatics expertise.
User: dennisschmitz
clinical,R/Pharma 2023 `mmrm` Workshop
User: dgkf
Home Page: https://dgkf.github.io/rpharma-2023-mmrm-workshop/
clinical,Characterization of Germline variants
Organization: ding-lab
Home Page: https://ding-lab.github.io/CharGer/
clinical,An electronic data capture platform for administering remote and in-person clinical instruments
Organization: douglasneuroinformatics
Home Page: https://opendatacapture.org/en/
clinical,An open source openEHR server
Organization: ehrbase
Home Page: http://ehrbase.org
clinical,A collaborative learning framework for empowering biomedical research
Organization: fedbiomed
Home Page: https://fedbiomed.org
clinical,Healthcare and biomedical datasets, for AI/ML
Organization: geniusrise
clinical,Bacterial typing pipeline for clinical NGS data. Written in NextFlow, Python & Bash.
Organization: genomic-medicine-sweden
clinical,Identification of cancer-causing variants
User: hansi-thewarapperuma
clinical,Integrated tool to build efficiently a genetic pedigree, a boadicea file and generate the corresponding clinical story [english/french]. Outil intégré pour construire efficacement un pedigree génétique, un fichier boadicea et générer l'histoire clinique correspondante. Disponible en français et en anglais.
User: jimouse
Home Page: https://jimouse.github.io/GeneTree/
clinical,AskDocs: A medical QA dataset
User: ju-resplande
clinical,The medical appointment management website is a web application that allows you to efficiently manage and organize medical appointments.
User: juudini
Home Page: https://juudini-medical-appointment.netlify.app/
clinical,Seave is a web platform that enables genetic variants to be easily filtered and annotated with in silico pathogenicity prediction scores and annotations from popular disease databases. Seave stores genomic variation of all types and sizes, and allows filtering for specific inheritance patterns, quality values, allele frequencies and gene lists. Seave is open source and deployable locally, or on a cloud computing provider, and works readily with gene panel, exome and whole genome data, scaling from single labs to multi-institution scale.
Organization: kccg
Home Page: https://seave.public.garvan.org.au/
clinical,PyTorch library for MIMIC III Benchmark experiments
User: kingrc15
Home Page: https://torchmimic.readthedocs.io/en/latest/
clinical,面向中文电子病历的命名实体识别
User: kyzhouhzau
clinical,Analytics done on clinical healthcare parkinsons analytics
User: lppier
clinical,A reported 96,480 people were diagnosed with melanoma in the United States in 2019, leading to 7230 reported deaths. Early-stage identification of suspicious pigmented lesions (SPLs) in primary care settings can lead to im- proved melanoma prognosis and a possible 20-fold reduction in treatment cost. Despite this clinical and economic value, efficient tools for SPL detection are mostly absent. To bridge this gap, we developed an SPL analysis system for wide-field images using deep convolutional neural networks (DCNNs) and applied it to a 38,283 dermatological dataset collected from 133 patients and publicly available images. These images were obtained from a variety of consumer-grade cameras (15,244 nondermoscopy) and classified by three board-certified dermatologists. Our system achieved more than 90.3% sensitivity (95% confidence interval, 90 to 90.6) and 89.9% specificity (89.6 to 90.2%) in distinguishing SPLs from nonsuspicious lesions, skin, and complex backgrounds, avoiding the need for cumbersome individual lesion imaging. We also present a new method to extract intrapatient lesion saliency (ugly duckling criteria) on the basis of DCNN features from detected lesions. This saliency ranking was validated against three board-certified dermatologists using a set of 135 individual wide-field images from 68 dermatolog- ical patients not included in the DCNN training set, exhibiting 82.96% (67.88 to 88.26%) agreement with at least one of the top three lesions in the dermatological consensus ranking. This method could allow for rapid and accurate assessments of pigmented lesion suspiciousness within a primary care visit and could enable improved patient triaging, utilization of resources, and earlier treatment of melanoma.
User: lrsoenksen
clinical,A ward round assistant who helps medical personnel to query medical record data with LLM
User: marswen
clinical,A dashboard to visualize what datasets were used to create each of the clinical trial datasets
User: mbalcerzak
Home Page: https://mabgraphs.shinyapps.io/GraphShiny/
clinical,Medkey Hospital Information System main repository: Practice Management for Practicioners & Hospitals, EHR, Patient Engagement
Organization: medkey-org
Home Page: https://medkey.org
clinical,MNE-CPP: A Framework for Electrophysiology
Organization: mne-tools
Home Page: https://mne-cpp.org/
clinical,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.
Organization: molecularmatch
Home Page: https://api.molecularmatch.com
clinical,A python package for standardized and reproducible processing, analysis, and integration of clinical proteomics data
User: ngiangre
clinical,Sobolev alignment of deep probabilistic models for comparing single cell profiles
Organization: nki-ccb
clinical,This project develops compact transformer models tailored for clinical text analysis, balancing efficiency and performance for healthcare NLP tasks.
Organization: nlpie-research
clinical,Tool-set to support Bayesian evidence synthesis in R
Organization: novartis
Home Page: https://opensource.nibr.com/RBesT/
clinical,Through this project, ONC in partnership with National Institutes of Health (NIH) National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), advanced the application of AI/ML in patient-centered outcomes research (PCOR) by generating high quality training datasets for a chronic kidney disease (CKD) use case – predicting mortality within the first 90 days of dialysis.
Organization: onc-healthit
clinical,Clinical oncology tumor board decision support system made by the Decider project.
Organization: oncodash
Home Page: https://oncodash.github.io/oncodash/
clinical,Open eReact v1
Organization: opusvl
Home Page: https://opusvl.com/solutions/open-ereact
clinical,Official source for Spanish pretrained biomedical and clinical language models and resources made @ BSC-TEMU within the "Plan de las Tecnologías del Lenguaje" (Plan-TL).
Organization: plantl-gob-es
clinical,[ACL 2024] This is the code for our paper ”RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records“.
User: ritaranx
Home Page: https://arxiv.org/abs/2403.00815
clinical,Community-maintained list of resources that the CI4CC organization and the larger cancer informatics community have found useful or are developing.
User: seandavi
clinical,Personal Cancer Genome Reporter (PCGR)
User: sigven
Home Page: https://sigven.github.io/pcgr
clinical,Improving clinical pathways in an open source and modular fashion
Organization: spiritumduo
clinical,Clinically Adapted Model Enhanced from LLaMA
User: starmpcc
Home Page: https://starmpcc.github.io/CAMEL/
clinical,A fine-tuned BERT using EHR notes.
User: umassbento
clinical,Reconstruction and analysis of viral and host genomes at multi-organ level
Organization: viromelab
clinical,clinical management app built with nuxt.js
User: yogakurniawan
clinical,Integrating AI to Clinical Workflow
User: zenetio
clinical,Source code and dataset for paper 'A Learning-based Model for Assessment of Covid-19 Severity'
User: zhuyinheng
Home Page: covid-19.zyh.science:8888
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.