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Australian doctoral employability: a systematic review of challenges and opportunities

Higher education research and development, 2024-02, Vol.43 (2), p.298-314

2024

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A systematic review of speech recognition technology in health care

BMC medical informatics and decision making, 2014-10, Vol.14 (1), p.94-94, Article 94

2014

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A Machine Learning Analysis of the Non-academic Employment Opportunities for Ph.D. Graduates in Australia

Higher education policy, 2020-12, Vol.33 (4), p.799-813

2020

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

JMIR formative research, 2022-08, Vol.6 (8), p.e35563-e35563

2022

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The Potential of Current Noninvasive Wearable Technology for the Monitoring of Physiological Signals in the Management of Type 1 Diabetes: Literature Survey

Journal of medical Internet research, 2022-04, Vol.24 (4), p.e28901-e28901

2022

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

BMC medical informatics and decision making, 2022-09, Vol.22 (1), p.1-242, Article 242

2022

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Which features of postural sway are effective in distinguishing Parkinson's disease from controls? A systematic review

Brain and behavior, 2021-01, Vol.11 (1), p.e01929-n/a

2021

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Overview of the ShARe/CLEF eHealth Evaluation Lab 2014

Information Access Evaluation. Multilinguality, Multimodality, and Interaction, 2014, p.172-191

2014

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Integrating Multiple Inputs Into an Artificial Pancreas System: Narrative Literature Review

JMIR diabetes, 2022-02, Vol.7 (1), p.e28861-e28861

2022

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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

JMIR diabetes, 2023-01, Vol.8, p.e43377-e43377

2023

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Machine Learning Improves Upon Clinicians' Prediction of End Stage Kidney Disease

Frontiers in medicine, 2022-03, Vol.9, p.837232-837232

2022

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Personalizing Medicine and Technologies to Address the Experiences and Needs of People with Multiple Sclerosis

Journal of personalized medicine, 2021-08, Vol.11 (8), p.791

2021

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Text mining and information analysis of health documents

Artificial intelligence in medicine, 2014-07, Vol.61 (3), p.127-130

Suominen, Hanna

2014

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Neural Network–Based Financial Volatility Forecasting: A Systematic Review

ACM computing surveys, 2023-01, Vol.55 (1), p.1-30

2023

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Dynamic consent and personalised medicine

Medical journal of Australia, 2022-06, Vol.216 (11), p.547-549

2022

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Has machine learning over-promised in healthcare?: A critical analysis and a proposal for improved evaluation, with evidence from Parkinson's disease

Artificial intelligence in medicine, 2023-05, Vol.139, p.102524-102524

2023

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Adapting State-of-the-Art Deep Language Models to Clinical Information Extraction Systems: Potentials, Challenges, and Solutions

JMIR medical informatics, 2019-04, Vol.7 (2), p.e11499-e11499

2019

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Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances

Journal of biomedical informatics, 2018-12, Vol.88, p.11-19

2018

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Information Extraction to Improve Standard Compliance: The Case of Clinical Handover

AI 2015: Advances in Artificial Intelligence, 2015, p.644-649

2015

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Has machine learning over-promised in healthcare?

Artificial intelligence in medicine, 2023-05, Vol.139, p.102524, Article 102524

2023

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Ensuring security of artificial pancreas device system using homomorphic encryption

Biomedical signal processing and control, 2023-01, Vol.79, p.104044, Article 104044

2023

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

Journal of biomedical informatics, 2023-05, Vol.141, p.104365-104365, Article 104365

2023

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Towards an international electronic repository and virtual laboratory of open data and open-source software for telehealth research: comparison of international, Australian and Finnish privacy policies

Studies in health technology and informatics, 2012, Vol.182, p.153

Suominen, Hanna

2012

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Evaluating the state of the art in disorder recognition and normalization of the clinical narrative

Journal of the American Medical Informatics Association : JAMIA, 2015-01, Vol.22 (1), p.143-154

2015

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Australian doctoral employability: a systematic review of challenges and opportunities

A systematic review of speech recognition technology in health care

A Machine Learning Analysis of the Non-academic Employment Opportunities for Ph.D. Graduates in Australia

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

The Potential of Current Noninvasive Wearable Technology for the Monitoring of Physiological Signals in the Management of Type 1 Diabetes: Literature Survey

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

Which features of postural sway are effective in distinguishing Parkinson's disease from controls? A systematic review

Overview of the ShARe/CLEF eHealth Evaluation Lab 2014

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

Integrating Multiple Inputs Into an Artificial Pancreas System: Narrative Literature 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

Machine Learning Improves Upon Clinicians' Prediction of End Stage Kidney Disease

Personalizing Medicine and Technologies to Address the Experiences and Needs of People with Multiple Sclerosis

Text mining and information analysis of health documents

Neural Network–Based Financial Volatility Forecasting: A Systematic Review

Dynamic consent and personalised medicine

Has machine learning over-promised in healthcare?: A critical analysis and a proposal for improved evaluation, with evidence from Parkinson's disease

Adapting State-of-the-Art Deep Language Models to Clinical Information Extraction Systems: Potentials, Challenges, and Solutions

Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances

Information Extraction to Improve Standard Compliance: The Case of Clinical Handover

Has machine learning over-promised in healthcare?

Ensuring security of artificial pancreas device system using homomorphic encryption

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

Towards an international electronic repository and virtual laboratory of open data and open-source software for telehealth research: comparison of international, Australian and Finnish privacy policies

Evaluating the state of the art in disorder recognition and normalization of the clinical narrative

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