[HTML][HTML] Cardiovascular/stroke risk prevention: A new machine learning framework integrating carotid ultrasound image-based phenotypes and its harmonics with …
Motivation Machine learning (ML)-based stroke risk stratification systems have typically
focused on conventional risk factors (CRF)(AtheroRisk-conventional). Besides CRF, carotid …
focused on conventional risk factors (CRF)(AtheroRisk-conventional). Besides CRF, carotid …
Cardiovascular/stroke risk prevention: A new machine learning framework integrating carotid ultrasound image-based phenotypes and its harmonics with …
A Jamthikar, D Gupta, NN Khanna, L Saba… - Indian Heart …, 2020 - europepmc.org
Methods Two types of ML-based setups called (i) AtheroRisk-integrated and (ii) AtheroRisk-
conventional were developed using random forest (RF) classifiers. AtheroRisk-conventional …
conventional were developed using random forest (RF) classifiers. AtheroRisk-conventional …
Cardiovascular/stroke risk prevention: A new machine learning framework integrating carotid ultrasound image-based phenotypes and its harmonics with …
A Jamthikar, D Gupta, NN Khanna… - Indian heart …, 2020 - pubmed.ncbi.nlm.nih.gov
Motivation Machine learning (ML)-based stroke risk stratification systems have typically
focused on conventional risk factors (CRF)(AtheroRisk-conventional). Besides CRF, carotid …
focused on conventional risk factors (CRF)(AtheroRisk-conventional). Besides CRF, carotid …
Cardiovascular/stroke risk prevention: A new machine learning framework integrating carotid ultrasound image-based phenotypes and its harmonics with …
A Jamthikar, D Gupta, NN Khanna, L Saba… - INDIAN HEART …, 2020 - iris.unica.it
Abstract Motivation: Machine learning (ML)-based stroke risk stratification systems have
typically focused on conventional risk factors (CRF)(AtheroRisk-conventional). Besides CRF …
typically focused on conventional risk factors (CRF)(AtheroRisk-conventional). Besides CRF …
[HTML][HTML] Cardiovascular/stroke risk prevention: A new machine learning framework integrating carotid ultrasound image-based phenotypes and its harmonics with …
A Jamthikar, D Gupta, NN Khanna, L Saba… - Indian Heart …, 2020 - ncbi.nlm.nih.gov
Methods Two types of ML-based setups called (i) AtheroRisk-integrated and (ii) AtheroRisk-
conventional were developed using random forest (RF) classifiers. AtheroRisk-conventional …
conventional were developed using random forest (RF) classifiers. AtheroRisk-conventional …