awesome-healthmetrics
github.com/leandromineti/awesome-healthmetrics ↗A curated list of awesome resources at the intersection of healthcare and AI
73
GitHub Stars
119
Curated Resources
12
Categories
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GeneralCardiologyEpidemiology & infectologyGeneticsNeurologyOncologyOphthalmologyOrthopedictsPharmacologyPsychiatryPulmonologyResearch
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Research
- 2018 Data Science Bowl: find the nuclei in divergent images to advance medical discoveryCompetitions
Kaggle - 2018
- Human Protein Atlas Image Classification: classify subcellular protein patterns in human cellsCompetitions
Kaggle - 2019
- MiniFoldPackages
- ProteinNet: a standardized data set for machine learning of protein structureDatasets
- ProteinNet: a standardized data set for machine
learning of protein structureArticles
2019
Neurology
- A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using 18F-FDG PET of the BrainArticles
2018
- Advanced Data Analysis in Neuroscience: Integrating Statistical and Computational ModelsBooks
- AI and Neuroscience: A virtuous circleArticles
- Allen Brain AtlasDatasets
- American Epilepsy Society Seizure Prediction Challenge: predict seizures in intracranial EEG recordingsCompetitions
Kaggle - 2014
- Artificial Intelligence and NeurologyArticles
2016
General
- Adversarial attacks on medical AI: A health policy challengeArticles
2019
- A Survey on Deep Learning in Medical Image AnalysisArticles
2017
- Awesome Bio DatasetsDatasets
- Awesome HealthcarePackages
- Big data and machine learning in health careArticles
2018
- CheXpert: A Large Chest X-Ray Dataset And CompetitionDatasets
Psychiatry
- A novel machine learning based framework for detection of Autism Spectrum Disorder (ASD)Articles
2019
- Computational Neurology and PsychiatryBooks
- Feeling Anxious? Perceiving Anxiety in Tweets using Machine LearningArticles
2019
- MLSP 2014 Schizophrenia Classification Challenge: diagnose schizophrenia using multimodal features from MRI scansCompetitions
Kaggle - 2014
- Psychopathy Prediction Based on Twitter UsageCompetitions
Kaggle - 2012
Genetics
- Approximate Bayesian computation with deep learning supports a third archaic introgression in Asia and OceaniaArticles
2019
- A primer on deep learning in genomicsArticles
2019
- biopython: python tools for computational molecular biologyPackages
- Clinical Genomic DatabaseDatasets
- Gene Expression Prediction: Predicting gene expression from histone modification signalsCompetitions
Kaggle - 2017
- Genotype-Tissue ExpressionDatasets
Cardiology
- Artificial Intelligence in CardiologyArticles
2018
- Cardiac imaging: working towards fully-automated machine analysis & interpretationArticles
2017
- Cardiac MRI datasetDatasets
- cardIO: data science research of heart signals in PythonPackages
- Congenital Heart Disease (CHD)Datasets
- ECG Signal Processing, Classification and Interpretation: A Comprehensive Framework of Computational IntelligenceBooks
Epidemiology & infectology
- Artificial Intelligence in Public Health and EpidemiologyArticles
2018
- Big Data for Infectious Disease Surveillance and ModelingArticles
- DengAI: predicting disease spreadCompetitions
DrivenData - open
- Emerging trends in geospatial artificial intelligence (geoAI): potential applications for environmental epidemiologyArticles
2018
- Epidemiology: Study Design and Data AnalysisBooks
- epipy: python tools for epidemiologyPackages
Orthopedicts
- Automation of reading of radiological features from magnetic
resonance images (MRIs) of the lumbar spine without human
intervention is comparable with an expert radiologistArticles
2017
- MURA: Bone X-Ray Deep Learning CompetitionCompetitions
Stanford ML Group - open
- SpineNet: Automated classification and evidence visualization in
spinal MRIsArticles
2017
- Vertebral Column Data SetDatasets
Showing a sample of 119 resources. View the full list on GitHub →