Machine learning predicts long-term mortality after acute myocardial infarction using systolic time intervals and routinely collected clinical data

no code implementations • 3 Mar 2024 • Bijan Roudini, Boshra Khajehpiri, Hamid Abrishami Moghaddam, Mohamad Forouzanfar

Using medical and demographic records as well as two recently introduced biomarkers, brachial pre-ejection period (bPEP) and brachial ejection time (bET), collected from 139 patients with acute myocardial infarction, we investigated the performance of advanced ensemble tree-based ML algorithms (random forest, AdaBoost, and XGBoost) to predict all-cause mortality within 14 years.

Mortality Prediction

CT-LungNet: A Deep Learning Framework for Precise Lung Tissue Segmentation in 3D Thoracic CT Scans

no code implementations • 28 Dec 2022 • Niloufar Delfan, Hamid Abrishami Moghaddam, Mohammadreza Modaresi, Kimia Afshari, Kasra Nezamabadi, Neda Pak, Omid Ghaemi, Mohamad Forouzanfar

Segmentation of lung tissue in computed tomography (CT) images is a precursor to most pulmonary image analysis applications.

Computed Tomography (CT) Segmentation +2

Incremental Nonparametric Weighted Feature Extraction for OnlineSubspace Pattern Classification

no code implementations • 26 Oct 2016 • Hamid Abrishami Moghaddam, Elaheh Raisi

In this paper, a new online method based on nonparametric weighted feature extraction (NWFE) is proposed.

Classification General Classification