Hanna Suominen

Professor

Australian National University

Australia

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Articles (10)

Australian doctoral employability: a systematic review of challenges and opportunities

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Year:

2023

Has machine learning over-promised in healthcare?

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Year:

2023

Explainable discovery of disease biomarkers: The case of ovarian cancer to illustrate the best practice in machine learning and Shapley analysis

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Year:

2023

Neural Network–Based Financial Volatility Forecasting: A Systematic Review

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Year:

2023

Toward Diabetes Device Development That Is Mindful to the Needs of Young People Living With Type 1 Diabetes: A Data- and Theory-Driven Qualitative Study

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Year:

2023

Ensuring security of artificial pancreas device system using homomorphic encryption

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Year:

2023

The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review

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Year:

2022

The current understanding of precision medicine and personalised medicine in selected research disciplines: study protocol of a systematic concept analysis

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Year:

2022

Analyzing Suicide Risk From Linguistic Features in Social Media: Evaluation Study

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Year:

2022

STROKE 2022, 31st Annual Scientific Meeting of the Stroke Society of Australasia 2022, 31st August - 2nd September 2022, Christchurch, New Zealand

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Year:

2022

Collaborators (8)

Anne Bruestle

Associate Professor

Australian National University

AUSTRALIA

Chirath Hettiarachchi

Australian National University

AUSTRALIA

Christine Phillips

Professor, Social Foundations of Medicine

Australian National University

AUSTRALIA

Artem Lenskiy

Australian National University

AUSTRALIA

Matthew Cook

Professor of Medicine

Australian National University

AUSTRALIA

Deborah Apthorp

Associate Professor

University of New England

AUSTRALIA

Inger Mewburn

Australian National University

AUSTRALIA

Adam Henschke

University of Twente

NETHERLANDS

Hanna Suominen

Research Interests

Explore related searches

Contact this professor

Articles (10)

Australian doctoral employability: a systematic review of challenges and opportunities

Has machine learning over-promised in healthcare?

Explainable discovery of disease biomarkers: The case of ovarian cancer to illustrate the best practice in machine learning and Shapley analysis

Neural Network–Based Financial Volatility Forecasting: A Systematic Review

Toward Diabetes Device Development That Is Mindful to the Needs of Young People Living With Type 1 Diabetes: A Data- and Theory-Driven Qualitative Study

Ensuring security of artificial pancreas device system using homomorphic encryption

The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review

The current understanding of precision medicine and personalised medicine in selected research disciplines: study protocol of a systematic concept analysis

Analyzing Suicide Risk From Linguistic Features in Social Media: Evaluation Study

STROKE 2022, 31<sup>st</sup> Annual Scientific Meeting of the Stroke Society of Australasia 2022, 31<sup>st</sup> August - 2<sup>nd</sup> September 2022, Christchurch, New Zealand

Collaborators (8)

Anne Bruestle

Chirath Hettiarachchi

Christine Phillips

Artem Lenskiy

Matthew Cook

Deborah Apthorp

Inger Mewburn

Adam Henschke

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