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Increasing User Involvement in Health Care and Health Research Simultaneously: A Proto-Protocol for "Person-as-Researcher" and Online Decision Support Tools

Mette Kjer Kaltoft, Jesper Bo Nielsen, Glenn Salkeld, Jack Dowie

JMIR Res Protoc 2014;3(4):e61

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Determinants of Successful eHealth Coaching for Consumer Lifestyle Changes: Qualitative Interview Study Among Health Care Professionals

Carl Joakim Brandt, Gabrielle Isidora Søgaard, Jane Clemensen, Jens Søndergaard, Jesper Bo Nielsen

J Med Internet Res 2018;20(7):e237

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General Practitioners’ Perspective on eHealth and Lifestyle Change: Qualitative Interview Study

Carl Joakim Brandt, Gabrielle Isidora Søgaard, Jane Clemensen, Jens Sndergaard, Jesper Bo Nielsen

JMIR Mhealth Uhealth 2018;6(4):e88

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Evaluation of the Clinical and Economic Effects of a Primary Care Anchored, Collaborative, Electronic Health Lifestyle Coaching Program in Denmark: Protocol for a Two-Year Randomized Controlled Trial

Carl J Brandt, Jeanette Reffstrup Christensen, Jørgen T Lauridsen, Jesper Bo Nielsen, Jens Søndergaard, Camilla Sortsø

JMIR Res Protoc 2020;9(6):e19172

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Integration of Rehabilitation Activities Into Everyday Life Through Telerehabilitation: Qualitative Study of Cardiac Patients and Their Partners

Birthe Dinesen, Gitte Nielsen, Jan Jesper Andreasen, Helle Spindler

J Med Internet Res 2019;21(4):e13281

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An App Developed for Detecting Nurse Burnouts Using the Convolutional Neural Networks in Microsoft Excel: Population-Based Questionnaire Study

If the CNN BO model’s parameters have been estimated by the CNN algorithm, the classification of nurse BO by responding to the MBI-HSS can alert individual nurses more accurately and warn them to alleviate their mental strain before it becomes a serious BO

Yi-Lien Lee, Willy Chou, Tsair-Wei Chien, Po-Hsin Chou, Yu-Tsen Yeh, Huan-Fang Lee

JMIR Med Inform 2020;8(5):e16528

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Bringing Feedback in From the Outback via a Generic and Preference-Sensitive Instrument for Course Quality Assessment

Mette K Kaltoft, Jesper B Nielsen, Glenn Salkeld, Jo Lander, Jack Dowie

JMIR Res Protoc 2015;4(1):e15

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Effectiveness of Optional Videoconferencing-Based Treatment of Alcohol Use Disorders: Randomized Controlled Trial

Kristine Tarp, Anders Bo Bojesen, Anna Mejldal, Anette Søgaard Nielsen

JMIR Ment Health 2017;4(3):e38

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Cardiac Patients’ Walking Activity Determined by a Step Counter in Cardiac Telerehabilitation: Data From the Intervention Arm of a Randomized Controlled Trial

Charlotte Thorup, John Hansen, Mette Grønkjær, Jan Jesper Andreasen, Gitte Nielsen, Erik Elgaard Sørensen, Birthe Irene Dinesen

J Med Internet Res 2016;18(4):e69

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Multi-Level Representation Learning for Chinese Medical Entity Recognition: Model Development and Validation

., cn), BERT was formulated as follows:h1 = EToken + ESegment + EPosition (1)hl = Trm(hl–1) (2)YBERT = Softmax(wOhL + bO) (3)where h1 represents input embedding for a sequence and is made up of EToken, ESegment, and EPosition, which mean token, segment, and

Zhichang Zhang, Lin Zhu, Peilin Yu

JMIR Med Inform 2020;8(5):e17637

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