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Blockchain distributed ledger technologies for biomedical and health care applications
Blockchain distributed ledger technologies for biomedical and health care applications
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Blockchain distributed ledger technologies for biomedical and health care applications

Kuo, Tsung-Ting ; Kim, Hyeon-Eui ; Ohno-Machado, Lucila

Journal of the American Medical Informatics Association : JAMIA, 2017-11, Vol.24 (6), p.1211-1220 [Periódico revisado por pares]

England: Oxford University Press

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2
Telehealth transformation: COVID-19 and the rise of virtual care
Telehealth transformation: COVID-19 and the rise of virtual care
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Telehealth transformation: COVID-19 and the rise of virtual care

Wosik, Jedrek ; Fudim, Marat ; Cameron, Blake ; Gellad, Ziad F ; Cho, Alex ; Phinney, Donna ; Curtis, Simon ; Roman, Matthew ; Poon, Eric G ; Ferranti, Jeffrey ; Katz, Jason N ; Tcheng, James

Journal of the American Medical Informatics Association : JAMIA, 2020-06, Vol.27 (6), p.957-962 [Periódico revisado por pares]

England: Oxford University Press

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3
Impact of the digital divide in the age of COVID-19
Impact of the digital divide in the age of COVID-19
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Impact of the digital divide in the age of COVID-19

Ramsetty, Anita ; Adams, Cristin

Journal of the American Medical Informatics Association : JAMIA, 2020-07, Vol.27 (7), p.1147-1148 [Periódico revisado por pares]

England: Oxford University Press

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4
Expert-level sleep scoring with deep neural networks
Expert-level sleep scoring with deep neural networks
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Expert-level sleep scoring with deep neural networks

Biswal, Siddharth ; Sun, Haoqi ; Goparaju, Balaji ; Westover, M Brandon ; Sun, Jimeng ; Bianchi, Matt T

Journal of the American Medical Informatics Association : JAMIA, 2018-12, Vol.25 (12), p.1643-1650 [Periódico revisado por pares]

England: Oxford University Press

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5
The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment
The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment
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The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment

Haendel, Melissa A ; Chute, Christopher G ; Bennett, Tellen D ; Eichmann, David A ; Guinney, Justin ; Kibbe, Warren A ; Payne, Philip R O ; Pfaff, Emily R ; Robinson, Peter N ; Saltz, Joel H ; Spratt, Heidi ; Suver, Christine ; Wilbanks, John ; Wilcox, Adam B ; Williams, Andrew E ; Wu, Chunlei ; Blacketer, Clair ; Bradford, Robert L ; Cimino, James J ; Clark, Marshall ; Colmenares, Evan W ; Francis, Patricia A ; Gabriel, Davera ; Graves, Alexis ; Hemadri, Raju ; Hong, Stephanie S ; Hripscak, George ; Jiao, Dazhi ; Klann, Jeffrey G ; Kostka, Kristin ; Lee, Adam M ; Lehmann, Harold P ; Lingrey, Lora ; Miller, Robert T ; Morris, Michele ; Murphy, Shawn N ; Natarajan, Karthik ; Palchuk, Matvey B ; Sheikh, Usman ; Solbrig, Harold ; Visweswaran, Shyam ; Walden, Anita ; Walters, Kellie M ; Weber, Griffin M ; Zhang, Xiaohan Tanner ; Zhu, Richard L ; Amor, Benjamin ; Girvin, Andrew T ; Manna, Amin ; Qureshi, Nabeel ; Kurilla, Michael G ; Michael, Sam G ; Portilla, Lili M ; Rutter, Joni L ; Austin, Christopher P ; Gersing, Ken R

Journal of the American Medical Informatics Association : JAMIA, 2021-03, Vol.28 (3), p.427-443 [Periódico revisado por pares]

England: Oxford University Press

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6
CLAMP – a toolkit for efficiently building customized clinical natural language processing pipelines
CLAMP – a toolkit for efficiently building customized clinical natural language processing pipelines
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CLAMP – a toolkit for efficiently building customized clinical natural language processing pipelines

Soysal, Ergin ; Wang, Jingqi ; Jiang, Min ; Wu, Yonghui ; Pakhomov, Serguei ; Liu, Hongfang ; Xu, Hua

Journal of the American Medical Informatics Association : JAMIA, 2018-03, Vol.25 (3), p.331-336 [Periódico revisado por pares]

England: Oxford University Press

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7
Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review
Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review
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Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review

Xiao, Cao ; Choi, Edward ; Sun, Jimeng

Journal of the American Medical Informatics Association : JAMIA, 2018-10, Vol.25 (10), p.1419-1428 [Periódico revisado por pares]

England: Oxford University Press

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8
Conversational agents in healthcare: a systematic review
Conversational agents in healthcare: a systematic review
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Conversational agents in healthcare: a systematic review

Laranjo, Liliana ; Dunn, Adam G ; Tong, Huong Ly ; Kocaballi, Ahmet Baki ; Chen, Jessica ; Bashir, Rabia ; Surian, Didi ; Gallego, Blanca ; Magrabi, Farah ; Lau, Annie Y S ; Coiera, Enrico

Journal of the American Medical Informatics Association : JAMIA, 2018-09, Vol.25 (9), p.1248-1258 [Periódico revisado por pares]

England: Oxford University Press

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9
Deep learning in clinical natural language processing: a methodical review
Deep learning in clinical natural language processing: a methodical review
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Deep learning in clinical natural language processing: a methodical review

Wu, Stephen ; Roberts, Kirk ; Datta, Surabhi ; Du, Jingcheng ; Ji, Zongcheng ; Si, Yuqi ; Soni, Sarvesh ; Wang, Qiong ; Wei, Qiang ; Xiang, Yang ; Zhao, Bo ; Xu, Hua

Journal of the American Medical Informatics Association : JAMIA, 2020-03, Vol.27 (3), p.457-470 [Periódico revisado por pares]

England: Oxford University Press

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10
Telehealth in response to the COVID-19 pandemic: Implications for rural health disparities
Telehealth in response to the COVID-19 pandemic: Implications for rural health disparities
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Telehealth in response to the COVID-19 pandemic: Implications for rural health disparities

Hirko, Kelly A ; Kerver, Jean M ; Ford, Sabrina ; Szafranski, Chelsea ; Beckett, John ; Kitchen, Chris ; Wendling, Andrea L

Journal of the American Medical Informatics Association : JAMIA, 2020-11, Vol.27 (11), p.1816-1818 [Periódico revisado por pares]

England: Oxford University Press

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