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Ahsan Huda

Showing results (11-20 of 18) with videos related to

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Clinical Medicine Insights. Cardiology|November 17, 2022
Implementing a Machine-Learning-Adapted Algorithm to Identify Possible Transthyretin Amyloid Cardiomyopathy at an Academic Medical CenterJoshua D Mitchell, Daniel J Lenihan, Casey Reed, et al.
BMJ Open|October 29, 2023
Detecting transthyretin amyloid cardiomyopathy (ATTR-CM) using machine learning: an evaluation of the performance of an algorithm in a UK settingCarmen Tsang, Ahsan Huda, Max Norman, et al.
Plos One|April 6, 2012
Population differences in transcript-regulator expression quantitative trait lociPierre R Bushel, Ray McGovern, Liwen Liu, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|October 22, 2024
Ethicara for Responsible AI in Healthcare: A System for Bias Detection and AI Risk ManagementMaria Kritharidou, Georgios Chrysogonidis, Tasos Ventouris, et al.
Journal of Cardiac Failure|December 8, 2023
EstimATTR: A Simplified, Machine-Learning-Based Tool to Predict the Risk of Wild-Type Transthyretin Amyloid CardiomyopathyAdam Castaño, Stephen B Heitner, Ahmad Masri, et al.
Communications Medicine|December 20, 2023
Large-scale deep learning analysis to identify adult patients at risk for combined and common variable immunodeficienciesGiorgos Papanastasiou, Guang Yang, Dimitris I Fotiadis, et al.
Nature Communications|May 12, 2021
A machine learning model for identifying patients at risk for wild-type transthyretin amyloid cardiomyopathyAhsan Huda, Adam Castaño, Anindita Niyogi, et al.
American Heart Journal|July 3, 2023
Transthyretin amyloid cardiomyopathy among patients hospitalized for heart failure and performance of an adapted wild-type ATTR-CM machine learning model: Findings from GWTG-HFAnthony E Peters, Nicole Solomon, Karen Chiswell, et al.
Pageof 2

Showing results (11-20 of 18) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 18 results.
Clinical Medicine Insights. Cardiology|November 17, 2022
Implementing a Machine-Learning-Adapted Algorithm to Identify Possible Transthyretin Amyloid Cardiomyopathy at an Academic Medical CenterJoshua D Mitchell, Daniel J Lenihan, Casey Reed, et al.
BMJ Open|October 29, 2023
Detecting transthyretin amyloid cardiomyopathy (ATTR-CM) using machine learning: an evaluation of the performance of an algorithm in a UK settingCarmen Tsang, Ahsan Huda, Max Norman, et al.
Plos One|April 6, 2012
Population differences in transcript-regulator expression quantitative trait lociPierre R Bushel, Ray McGovern, Liwen Liu, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|October 22, 2024
Ethicara for Responsible AI in Healthcare: A System for Bias Detection and AI Risk ManagementMaria Kritharidou, Georgios Chrysogonidis, Tasos Ventouris, et al.
Journal of Cardiac Failure|December 8, 2023
EstimATTR: A Simplified, Machine-Learning-Based Tool to Predict the Risk of Wild-Type Transthyretin Amyloid CardiomyopathyAdam Castaño, Stephen B Heitner, Ahmad Masri, et al.
Communications Medicine|December 20, 2023
Large-scale deep learning analysis to identify adult patients at risk for combined and common variable immunodeficienciesGiorgos Papanastasiou, Guang Yang, Dimitris I Fotiadis, et al.
Nature Communications|May 12, 2021
A machine learning model for identifying patients at risk for wild-type transthyretin amyloid cardiomyopathyAhsan Huda, Adam Castaño, Anindita Niyogi, et al.
American Heart Journal|July 3, 2023
Transthyretin amyloid cardiomyopathy among patients hospitalized for heart failure and performance of an adapted wild-type ATTR-CM machine learning model: Findings from GWTG-HFAnthony E Peters, Nicole Solomon, Karen Chiswell, et al.
Pageof 2