Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-healthmetrics
A curated list of awesome resources at the intersection of healthcare and AI
https://github.com/leandromineti/awesome-healthmetrics
Last synced: about 4 hours ago
JSON representation
-
General
-
Articles
- High-performance medicine: the convergence of human and artificial intelligence - 2019
- High-performance medicine: the convergence of human and artificial intelligence - 2019
- High-performance medicine: the convergence of human and artificial intelligence - 2019
- High-performance medicine: the convergence of human and artificial intelligence - 2019
- High-performance medicine: the convergence of human and artificial intelligence - 2019
- Representation Learning for Networks in Biology and Medicine: Advancements, Challenges, and Opportunities - 2021
- Adversarial attacks on medical AI: A health policy challenge - 2019
- Transfusion: Understanding Transfer Learning with Applications to Medical Imaging - 2019
- High-performance medicine: the convergence of human and artificial intelligence - 2019
- Big data and machine learning in health care - 2018
- Opportunities in Machine Learning for Healthcare - 2018
- A Survey on Deep Learning in Medical Image Analysis - 2017
- Translating Artificial Intelligence Into Clinical Care - 2016
- High-performance medicine: the convergence of human and artificial intelligence - 2019
- High-performance medicine: the convergence of human and artificial intelligence - 2019
- High-performance medicine: the convergence of human and artificial intelligence - 2019
- High-performance medicine: the convergence of human and artificial intelligence - 2019
- High-performance medicine: the convergence of human and artificial intelligence - 2019
- High-performance medicine: the convergence of human and artificial intelligence - 2019
- High-performance medicine: the convergence of human and artificial intelligence - 2019
- High-performance medicine: the convergence of human and artificial intelligence - 2019
- High-performance medicine: the convergence of human and artificial intelligence - 2019
- High-performance medicine: the convergence of human and artificial intelligence - 2019
- High-performance medicine: the convergence of human and artificial intelligence - 2019
- High-performance medicine: the convergence of human and artificial intelligence - 2019
- High-performance medicine: the convergence of human and artificial intelligence - 2019
- High-performance medicine: the convergence of human and artificial intelligence - 2019
- High-performance medicine: the convergence of human and artificial intelligence - 2019
- High-performance medicine: the convergence of human and artificial intelligence - 2019
- High-performance medicine: the convergence of human and artificial intelligence - 2019
- High-performance medicine: the convergence of human and artificial intelligence - 2019
- High-performance medicine: the convergence of human and artificial intelligence - 2019
- High-performance medicine: the convergence of human and artificial intelligence - 2019
- High-performance medicine: the convergence of human and artificial intelligence - 2019
- High-performance medicine: the convergence of human and artificial intelligence - 2019
- High-performance medicine: the convergence of human and artificial intelligence - 2019
- High-performance medicine: the convergence of human and artificial intelligence - 2019
- High-performance medicine: the convergence of human and artificial intelligence - 2019
- High-performance medicine: the convergence of human and artificial intelligence - 2019
- High-performance medicine: the convergence of human and artificial intelligence - 2019
- High-performance medicine: the convergence of human and artificial intelligence - 2019
- High-performance medicine: the convergence of human and artificial intelligence - 2019
- High-performance medicine: the convergence of human and artificial intelligence - 2019
- High-performance medicine: the convergence of human and artificial intelligence - 2019
-
Packages
-
Books
-
Conferences and events
-
Courses
-
Datasets
-
Competitions
- Grand Challenges in Biomedical Image Analysis
- Predict Blood Donations - DrivenData - open
- Countable Care: Modeling Women's Health Care Decisions - DrivenData - 2015
- Heritage Health Prize: Identify patients who will be admitted to a hospital within the next year using historical claims data - Kaggle - 2012
-
-
Epidemiology & infectology
-
Articles
- Machine-learned epidemiology: real-time detection of foodborne illness at scale - 2018
- Machine learning spots treasure trove of elusive viruses
- Machine-learned epidemiology: real-time detection of foodborne illness at scale - 2018
- Machine learning spots treasure trove of elusive viruses
- Artificial Intelligence in Public Health and Epidemiology - 2018
- Emerging trends in geospatial artificial intelligence (geoAI): potential applications for environmental epidemiology - 2018
- Machine-learned epidemiology: real-time detection of foodborne illness at scale - 2018
- Machine learning spots treasure trove of elusive viruses
- Big Data for Infectious Disease Surveillance and Modeling
- Machine-learned epidemiology: real-time detection of foodborne illness at scale - 2018
- Machine learning spots treasure trove of elusive viruses
- Machine-learned epidemiology: real-time detection of foodborne illness at scale - 2018
- Machine learning spots treasure trove of elusive viruses
- Machine-learned epidemiology: real-time detection of foodborne illness at scale - 2018
- Machine learning spots treasure trove of elusive viruses
- Machine-learned epidemiology: real-time detection of foodborne illness at scale - 2018
- Machine learning spots treasure trove of elusive viruses
- Machine-learned epidemiology: real-time detection of foodborne illness at scale - 2018
- Machine learning spots treasure trove of elusive viruses
- Machine-learned epidemiology: real-time detection of foodborne illness at scale - 2018
- Machine learning spots treasure trove of elusive viruses
- Machine-learned epidemiology: real-time detection of foodborne illness at scale - 2018
- Machine learning spots treasure trove of elusive viruses
- Machine-learned epidemiology: real-time detection of foodborne illness at scale - 2018
- Machine learning spots treasure trove of elusive viruses
- Machine-learned epidemiology: real-time detection of foodborne illness at scale - 2018
- Machine learning spots treasure trove of elusive viruses
- Machine-learned epidemiology: real-time detection of foodborne illness at scale - 2018
- Machine learning spots treasure trove of elusive viruses
- Machine-learned epidemiology: real-time detection of foodborne illness at scale - 2018
- Machine learning spots treasure trove of elusive viruses
- Machine-learned epidemiology: real-time detection of foodborne illness at scale - 2018
- Machine learning spots treasure trove of elusive viruses
- Machine-learned epidemiology: real-time detection of foodborne illness at scale - 2018
- Machine learning spots treasure trove of elusive viruses
- Machine-learned epidemiology: real-time detection of foodborne illness at scale - 2018
- Machine learning spots treasure trove of elusive viruses
- Machine-learned epidemiology: real-time detection of foodborne illness at scale - 2018
- Machine learning spots treasure trove of elusive viruses
- Machine-learned epidemiology: real-time detection of foodborne illness at scale - 2018
- Machine learning spots treasure trove of elusive viruses
-
Packages
-
Books
-
Datasets
-
Competitions
- DengAI: predicting disease spread - DrivenData - open
- Predict HIV Progression: predict the likelihood that an HIV patient's infection will become less severe, given a small dataset and limited clinical information - Kaggle - 2010
- West Nile Virus Prediction: predict West Nile virus in mosquitos across the city of Chicago - Kaggle - 2015
-
-
Genetics
-
Articles
- A primer on deep learning in genomics - 2019
- Approximate Bayesian computation with deep learning supports a third archaic introgression in Asia and Oceania - 2019
- Machine learning applications in genetics and genomics - 2015
- A primer on deep learning in genomics - 2019
- Approximate Bayesian computation with deep learning supports a third archaic introgression in Asia and Oceania - 2019
- Machine learning applications in genetics and genomics - 2015
- A primer on deep learning in genomics - 2019
- Approximate Bayesian computation with deep learning supports a third archaic introgression in Asia and Oceania - 2019
- Machine learning applications in genetics and genomics - 2015
- A primer on deep learning in genomics - 2019
- Approximate Bayesian computation with deep learning supports a third archaic introgression in Asia and Oceania - 2019
- Machine learning applications in genetics and genomics - 2015
- A primer on deep learning in genomics - 2019
- Approximate Bayesian computation with deep learning supports a third archaic introgression in Asia and Oceania - 2019
- Machine learning applications in genetics and genomics - 2015
- A primer on deep learning in genomics - 2019
- Approximate Bayesian computation with deep learning supports a third archaic introgression in Asia and Oceania - 2019
- Machine learning applications in genetics and genomics - 2015
- A primer on deep learning in genomics - 2019
- Approximate Bayesian computation with deep learning supports a third archaic introgression in Asia and Oceania - 2019
- Machine learning applications in genetics and genomics - 2015
- A primer on deep learning in genomics - 2019
- Approximate Bayesian computation with deep learning supports a third archaic introgression in Asia and Oceania - 2019
- Machine learning applications in genetics and genomics - 2015
- A primer on deep learning in genomics - 2019
- Approximate Bayesian computation with deep learning supports a third archaic introgression in Asia and Oceania - 2019
- Machine learning applications in genetics and genomics - 2015
- A primer on deep learning in genomics - 2019
- Approximate Bayesian computation with deep learning supports a third archaic introgression in Asia and Oceania - 2019
- Machine learning applications in genetics and genomics - 2015
- A primer on deep learning in genomics - 2019
- Approximate Bayesian computation with deep learning supports a third archaic introgression in Asia and Oceania - 2019
- Machine learning applications in genetics and genomics - 2015
- Approximate Bayesian computation with deep learning supports a third archaic introgression in Asia and Oceania - 2019
- Machine learning applications in genetics and genomics - 2015
- A primer on deep learning in genomics - 2019
- A primer on deep learning in genomics - 2019
- Approximate Bayesian computation with deep learning supports a third archaic introgression in Asia and Oceania - 2019
- Machine learning applications in genetics and genomics - 2015
- A primer on deep learning in genomics - 2019
- Approximate Bayesian computation with deep learning supports a third archaic introgression in Asia and Oceania - 2019
- Machine learning applications in genetics and genomics - 2015
- A primer on deep learning in genomics - 2019
- Approximate Bayesian computation with deep learning supports a third archaic introgression in Asia and Oceania - 2019
- Machine learning applications in genetics and genomics - 2015
- A primer on deep learning in genomics - 2019
- Approximate Bayesian computation with deep learning supports a third archaic introgression in Asia and Oceania - 2019
- Machine learning applications in genetics and genomics - 2015
- A primer on deep learning in genomics - 2019
- Approximate Bayesian computation with deep learning supports a third archaic introgression in Asia and Oceania - 2019
- Machine learning applications in genetics and genomics - 2015
- A primer on deep learning in genomics - 2019
- Approximate Bayesian computation with deep learning supports a third archaic introgression in Asia and Oceania - 2019
- Machine learning applications in genetics and genomics - 2015
- A primer on deep learning in genomics - 2019
- Approximate Bayesian computation with deep learning supports a third archaic introgression in Asia and Oceania - 2019
- Machine learning applications in genetics and genomics - 2015
-
Packages
-
Datasets
-
Competitions
-
Conferences and events
-
Books
-
-
Neurology
-
Articles
- Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks - Nature Medicine - 2020
- High-precision automated reconstruction of neurons with flood-filling networks - 2018
- Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks - Nature Medicine - 2020
- High-precision automated reconstruction of neurons with flood-filling networks - 2018
- Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks - Nature Medicine - 2020
- A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using 18F-FDG PET of the Brain - 2018
- High-precision automated reconstruction of neurons with flood-filling networks - 2018
- Machine learning in neurology: what neurologists can learn from machines and vice versa - 2018
- AI and Neuroscience: A virtuous circle
- Artificial Intelligence and Neurology - 2016
- Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks - Nature Medicine - 2020
- High-precision automated reconstruction of neurons with flood-filling networks - 2018
- Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks - Nature Medicine - 2020
- High-precision automated reconstruction of neurons with flood-filling networks - 2018
- Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks - Nature Medicine - 2020
- High-precision automated reconstruction of neurons with flood-filling networks - 2018
- Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks - Nature Medicine - 2020
- High-precision automated reconstruction of neurons with flood-filling networks - 2018
- Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks - Nature Medicine - 2020
- High-precision automated reconstruction of neurons with flood-filling networks - 2018
- Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks - Nature Medicine - 2020
- High-precision automated reconstruction of neurons with flood-filling networks - 2018
- Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks - Nature Medicine - 2020
- High-precision automated reconstruction of neurons with flood-filling networks - 2018
- Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks - Nature Medicine - 2020
- High-precision automated reconstruction of neurons with flood-filling networks - 2018
- Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks - Nature Medicine - 2020
- High-precision automated reconstruction of neurons with flood-filling networks - 2018
- Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks - Nature Medicine - 2020
- High-precision automated reconstruction of neurons with flood-filling networks - 2018
- Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks - Nature Medicine - 2020
- High-precision automated reconstruction of neurons with flood-filling networks - 2018
- Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks - Nature Medicine - 2020
- High-precision automated reconstruction of neurons with flood-filling networks - 2018
- Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks - Nature Medicine - 2020
- High-precision automated reconstruction of neurons with flood-filling networks - 2018
- Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks - Nature Medicine - 2020
- High-precision automated reconstruction of neurons with flood-filling networks - 2018
- Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks - Nature Medicine - 2020
- High-precision automated reconstruction of neurons with flood-filling networks - 2018
- Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks - Nature Medicine - 2020
- High-precision automated reconstruction of neurons with flood-filling networks - 2018
-
Books
-
Datasets
-
Competitions
- PREPARE: Pioneering Research for Early Prediction of Alzheimer's and Related Dementias EUREKA Challenge - DrivenData - 2023.
- Ultrasound Nerve Segmentation: identify nerve structures in ultrasound images of the neck - Kaggle - 2016
- Melbourne University AES/MathWorks/NIH Seizure Prediction: predict seizures in long-term human intracranial EEG recordings - Kaggle - 2016
- Grasp-and-Lift EEG Detection: identify hand motions from EEG recordings - Kaggle - 2015
- CONNECTOMICS: reconstruct the wiring between neurons from fluorescence imaging of neural activity - Kaggle - 2014
- DecMeg2014 - Decoding the Human Brain: predict visual stimuli from MEG recordings of human brain activity - Kaggle - 2014
- UPenn and Mayo Clinic's Seizure Detection Challenge: detect seizures in intracranial EEG recordings - Kaggle - 2014
- American Epilepsy Society Seizure Prediction Challenge: predict seizures in intracranial EEG recordings - Kaggle - 2014
- Predicting Parkinson's Disease Progression with Smartphone Data - Kaggle - 2013
-
Conferences and events
-
-
Oncology
-
Articles
-
Competitions
- Histopathologic Cancer Detection: identify metastatic tissue in histopathologic scans of lymph node sections - Kaggle - 2019
- Data Science Bowl 2017: Can you improve lung cancer detection? - Kaggle - 2017
- Intel & MobileODT Cervical Cancer Screening: which cancer treatment will be most effective? - Kaggle - 2017
- Personalized Medicine: redefining cancer treatment - Kaggle - 2017
-
-
Ophthalmology
-
Articles
- Deep Learning for Detection of Diabetic Eye Disease - Google - 2016.
-
Competitions
-
-
Cardiology
-
Datasets
-
Packages
-
Articles
-
Books
-
Competitions
- Machine Learning with a Heart: predicting heart disease - DrivenData - open
- II Annual Data Science Bowl: transforming how we diagnose heart disease - Kaggle - 2016
-
-
Orthopedicts
-
Datasets
-
Competitions
- MURA: Bone X-Ray Deep Learning Competition - Stanford ML Group - open
-
-
Pharmacology
-
Articles
-
Competitions
-
-
Psychiatry
-
Articles
-
Books
-
Competitions
-
-
Pulmonology
-
Competitions
-
-
Research
-
Competitions
-
Programming Languages
Categories
Sub Categories
Keywords
machine-learning
3
python
3
healthcare
2
bioinformatics
2
genomics
2
medical
2
biopython
1
deep-neural-networks
1
deep-learning
1
data-science
1
simpleitk
1
nifti-format
1
mhd
1
mha
1
medpy
1
magnetic-resonance-imaging
1
itk
1
image-segmentation
1
image-processing
1
image-classification
1
graph-cut
1
feature-extraction
1
dicom
1
computed-tomography
1
4d
1
3d
1
2d
1
list
1
health
1
awesome-list
1
awesome
1
vcf
1
snps
1
proteomics
1
medicine
1
gtf
1
genomes
1
genome-sequencing
1
genome-browser
1
genome-annotation
1
genome
1
ensembl
1
csv-parser
1
cancer-genomics
1
cancer-genomes
1
cancer
1
biology
1
bed
1
sequence-alignment
1
protein-structure
1