clinical
There are 6 repositories under clinical topic.
- Language:R 244
- Language:Java 214
- Language:C 182
- Language:C++ 148
- Language:Python 93
- Language:Python 73
medkey-org / medkey
Medkey Hospital Information System main repository: Practice Management for Practicioners & Hospitals, EHR, Patient Engagement
Language:PHP 47Clinical-Genomics / MIP
Mutation Identification Pipeline. Read the latest documentation:
Language:Perl 39- Language:Java 35
- fedbiomedLanguage:Python 32
lrsoenksen / SPL_UD_DL
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.
Language:Python 31zenetio / ai-4-clinical-workflow
Integrating AI to Clinical Workflow
Language:Python 28- Language:JavaScript 23
PlanTL-GOB-ES / lm-biomedical-clinical-es
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).
Language:Python 23seandavi / ci4cc-informatics-resources
Community-maintained list of resources that the CI4CC organization and the larger cancer informatics community have found useful or are developing.
DennisSchmitz / Jovian_archive
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.
Language:Python 18nlpie-research / Lightweight-Clinical-Transformers
This project develops compact transformer models tailored for clinical text analysis, balancing efficiency and performance for healthcare NLP tasks.
Language:Python 18viromelab / tracespipe
Reconstruction and analysis of viral and host genomes at multi-organ level
Language:Shell 18- Language:JavaScript 17
DouglasNeuroInformatics / OpenDataCapture
An electronic data capture platform designed for administering remote and in-person clinical instruments, including both interactive tasks and forms
Language:TypeScript 16KCCG / seave
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.
Language:HTML 15- Language:R 15
- Language:Python 14
umassbento / ehrbert
A fine-tuned BERT using EHR notes.
abbasmzs / Image-Enhancement
C++ implementation of several image contrast enhancement techniques for clinical and normal images.
Language:C++ 11- bamdd
Novartis / bamdd
Applied modelling in drug development: flexible Bayesian regression modelling in Stan via brms
Language:TeX 9 - oncodash
oncodash / oncodash
Clinical oncology tumor board decision support system made by the Decider project.
Language:Python 9 genomic-medicine-sweden / jasen
Bacterial typing pipeline for clinical NGS data. Written in NextFlow, Python & Bash.
Language:Nextflow 8JiMouse / GeneTree
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.
Language:JavaScript 8authorTom / virtual-clinical-environment
A project to develop a realistic XR Virtual Environment using Gaussian Splatting and Unreal Engine.
ngiangre / cohorts
A python package for standardized and reproducible processing, analysis, and integration of clinical proteomics data
Language:Jupyter Notebook 7spiritumduo / spiritumDuo
Improving clinical pathways in an open source and modular fashion
Language:TypeScript 7kingrc15 / torchmimic
PyTorch library for MIMIC III Benchmark experiments
Language:Python 6lppier / Clinical-Health-Parkinsons-Analytics
Analytics done on clinical healthcare parkinsons analytics
Language:Jupyter Notebook 6- GraphShiny
mbalcerzak / GraphShiny
A dashboard to visualize what datasets were used to create each of the clinical trial datasets
Language:R 6 - Language:Python 6
