This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of Alberta directory, so their courses and email address may be missing. Find their university profile.
Latest papers
Diagnostic and Prognostic Electrocardiogram-Based Models for Rapid Clinical Applications.
The Canadian journal of cardiology · 2024
Development and validation of machine learning algorithms based on electrocardiograms for cardiovascular diagnoses at the population level.
NPJ digital medicine · 2024
Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiograms.
NPJ digital medicine · 2023
Latest funding
- $105,000
Big-Data Visual Code Completion Leveraging the Naturalness of Visual Source Code
NSERC · 2022 · Principal investigator
- $596,700
The EXamining Population-Level mORtality from the Electrocardiogram using Artificial Intelligence (EXPLORE-AI) Study
CIHR · 2021 · Principal investigator
- $25,000
Service-based license verification of open source software
NSERC · 2017 · Principal investigator
3 publications.
Diagnostic and Prognostic Electrocardiogram-Based Models for Rapid Clinical Applications.
Islam MS, Kalmady SV, Hindle A, Sandhu R, Sun W, Sepehrvand N, Greiner R, Kaul P
Development and validation of machine learning algorithms based on electrocardiograms for cardiovascular diagnoses at the population level.
Kalmady SV, Salimi A, Sun W, Sepehrvand N, Nademi Y, Bainey K, Ezekowitz J, Hindle A, McAlister F, Greiner R, Sandhu R, Kaul P
Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiograms.
Sun W, Kalmady SV, Sepehrvand N, Salimi A, Nademi Y, Bainey K, Ezekowitz JA, Greiner R, Hindle A, McAlister FA, Sandhu RK, Kaul P
Big-Data Visual Code Completion Leveraging the Naturalness of Visual Source Code
Principal investigators: Hindle, Abram
The EXamining Population-Level mORtality from the Electrocardiogram using Artificial Intelligence (EXPLORE-AI) Study
Principal investigators: Kaul, Padmaja R; Bainey, Kevin R; Greiner, Russ; Hindle, Abram; Sandhu, Roopinder
Keywords: Artificial Intelligence; Electrocardiogram; Mortality; Population Health
Service-based license verification of open source software
Principal investigators: Hindle, Abram
Big Data Approaches to Software Energy Consumption Modeling
Principal investigators: Hindle, Abram
Topic analysis of issues for awareness, triage and deduplication
Principal investigators: Hindle, Abram
Green Mining: Keeping Software Sustainable by Engineering for Power Consumption
Principal investigators: Hindle, Abram
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Medicine
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