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Depression detection from social network data using machine learning techniques
Depression detection from social network data using machine learning techniques
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Depression detection from social network data using machine learning techniques

Islam, Md. Rafiqul ; Kabir, Muhammad Ashad ; Ahmed, Ashir ; Kamal, Abu Raihan M. ; Wang, Hua ; Ulhaq, Anwaar

Health information science and systems, 2018-08, Vol.6 (1), p.8-8, Article 8 [Periódico revisado por pares]

Cham: Springer International Publishing

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2
Classification of COVID-19 chest X-rays with deep learning: new models or fine tuning?
Classification of COVID-19 chest X-rays with deep learning: new models or fine tuning?
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Classification of COVID-19 chest X-rays with deep learning: new models or fine tuning?

Pham, Tuan D.

Health information science and systems, 2021-12, Vol.9 (1), p.2-2, Article 2 [Periódico revisado por pares]

Cham: Springer International Publishing

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3
Transfer learning based histopathologic image classification for breast cancer detection
Transfer learning based histopathologic image classification for breast cancer detection
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Transfer learning based histopathologic image classification for breast cancer detection

Deniz, Erkan ; Şengür, Abdulkadir ; Kadiroğlu, Zehra ; Guo, Yanhui ; Bajaj, Varun ; Budak, Ümit

Health information science and systems, 2018-09, Vol.6 (1), p.18-18, Article 18 [Periódico revisado por pares]

Cham: Springer International Publishing

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4
A study on medical Internet of Things and Big Data in personalized healthcare system
A study on medical Internet of Things and Big Data in personalized healthcare system
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A study on medical Internet of Things and Big Data in personalized healthcare system

Jagadeeswari, V. ; Subramaniyaswamy, V. ; Logesh, R. ; Vijayakumar, V.

Health information science and systems, 2018-09, Vol.6 (1), p.14-14, Article 14 [Periódico revisado por pares]

Cham: Springer International Publishing

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5
Big data analytics in healthcare: promise and potential
Big data analytics in healthcare: promise and potential
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Big data analytics in healthcare: promise and potential

Raghupathi, Wullianallur ; Raghupathi, Viju

Health information science and systems, 2014-02, Vol.2 (1), p.3-3, Article 3 [Periódico revisado por pares]

London: BioMed Central

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6
Contact tracing apps for the COVID-19 pandemic: a systematic literature review of challenges and future directions for neo-liberal societies
Contact tracing apps for the COVID-19 pandemic: a systematic literature review of challenges and future directions for neo-liberal societies
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Contact tracing apps for the COVID-19 pandemic: a systematic literature review of challenges and future directions for neo-liberal societies

Akinbi, Alex ; Forshaw, Mark ; Blinkhorn, Victoria

Health information science and systems, 2021-12, Vol.9 (1), p.18-18, Article 18 [Periódico revisado por pares]

Cham: Springer International Publishing

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7
Automated detection of mild and multi-class diabetic eye diseases using deep learning
Automated detection of mild and multi-class diabetic eye diseases using deep learning
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Automated detection of mild and multi-class diabetic eye diseases using deep learning

Sarki, Rubina ; Ahmed, Khandakar ; Wang, Hua ; Zhang, Yanchun

Health information science and systems, 2020-12, Vol.8 (1), p.32-32, Article 32 [Periódico revisado por pares]

Cham: Springer International Publishing

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8
Classification and prediction of diabetes disease using machine learning paradigm
Classification and prediction of diabetes disease using machine learning paradigm
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Classification and prediction of diabetes disease using machine learning paradigm

Maniruzzaman, Md ; Rahman, Md. Jahanur ; Ahammed, Benojir ; Abedin, Md. Menhazul

Health information science and systems, 2020-01, Vol.8 (1), p.7-7, Article 7 [Periódico revisado por pares]

Cham: Springer International Publishing

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9
Automated epilepsy detection techniques from electroencephalogram signals: a review study
Automated epilepsy detection techniques from electroencephalogram signals: a review study
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Automated epilepsy detection techniques from electroencephalogram signals: a review study

Supriya, Supriya ; Siuly, Siuly ; Wang, Hua ; Zhang, Yanchun

Health information science and systems, 2020-12, Vol.8 (1), p.33-33, Article 33 [Periódico revisado por pares]

Cham: Springer International Publishing

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10
Classification of normal and depressed EEG signals based on centered correntropy of rhythms in empirical wavelet transform domain
Classification of normal and depressed EEG signals based on centered correntropy of rhythms in empirical wavelet transform domain
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Classification of normal and depressed EEG signals based on centered correntropy of rhythms in empirical wavelet transform domain

Akbari, Hesam ; Sadiq, Muhammad Tariq ; Rehman, Ateeq Ur

Health information science and systems, 2021-12, Vol.9 (1), p.9-9, Article 9 [Periódico revisado por pares]

Cham: Springer International Publishing

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