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Sheng-Chieh Lu

Showing results (1-10 of 25) with videos related to

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BMC Medical Research Methodology|November 2, 2022
Machine learning in medicine: a practical introduction to techniques for data pre-processing, hyperparameter tuning, and model comparisonAndré Pfob, Sheng-Chieh Lu, Chris Sidey-Gibbons
Studies in Health Technology and Informatics|June 23, 2016
Using ADDIE Model to Develop a Nursing Information System Training Program for New Graduate NurseSheng-Chieh Lu, Yu-Chen Cheng, Pi-Tuan Chan
Studies in Health Technology and Informatics|January 4, 2018
The Study of Smartphone Usage Competency Assessment and Training for the ElderlySheng-Chieh Lu, Tzu-Ning Wen, Po-Lun Chang
BMC Medical Research Methodology|February 21, 2025
Assessing the representativeness of large medical data using population stability indexSheng-Chieh Lu, Wenye Song, Andre Pfob, et al.
Journal of Gerontological Nursing|March 28, 2022
Frailty and Social and Behavioral Determinants of Health: Algorithm Refinement and Pattern ValidationSheng-Chieh Lu, Michelle A Mathiason, Karen A Monsen
Frontiers in Oncology|March 17, 2023
On the importance of interpretable machine learning predictions to inform clinical decision making in oncologySheng-Chieh Lu, Christine L Swisher, Caroline Chung, et al.
Quality of Life Research : an International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation|October 29, 2022
Machine learning models for 180-day mortality prediction of patients with advanced cancer using patient-reported symptom dataCai Xu, Ishwaria M Subbiah, Sheng-Chieh Lu, et al.
Journal of Patient-Reported Outcomes|July 25, 2025
Can machine translation match human expertise? Quantifying the performance of large language models in the translation of patient-reported outcome measures (PROMs)Sheng-Chieh Lu, Cai Xu, Manraj Kaur, et al.
Journal of Patient-Reported Outcomes|June 5, 2023
Effectiveness of routine provision of feedback from patient-reported outcome measurements for cancer care improvement: a systematic review and meta-analysisSheng-Chieh Lu, I Porter, J M Valderas, et al.
JMIR Medical Informatics|March 14, 2022
Machine Learning-Based Short-Term Mortality Prediction Models for Patients With Cancer Using Electronic Health Record Data: Systematic Review and Critical AppraisalSheng-Chieh Lu, Cai Xu, Chandler H Nguyen, et al.
Pageof 3

Showing results (1-10 of 25) with videos related to

Sort By:
Pageof 3
BMC Medical Research Methodology|November 2, 2022
Machine learning in medicine: a practical introduction to techniques for data pre-processing, hyperparameter tuning, and model comparisonAndré Pfob, Sheng-Chieh Lu, Chris Sidey-Gibbons
Studies in Health Technology and Informatics|June 23, 2016
Using ADDIE Model to Develop a Nursing Information System Training Program for New Graduate NurseSheng-Chieh Lu, Yu-Chen Cheng, Pi-Tuan Chan
Studies in Health Technology and Informatics|January 4, 2018
The Study of Smartphone Usage Competency Assessment and Training for the ElderlySheng-Chieh Lu, Tzu-Ning Wen, Po-Lun Chang
BMC Medical Research Methodology|February 21, 2025
Assessing the representativeness of large medical data using population stability indexSheng-Chieh Lu, Wenye Song, Andre Pfob, et al.
Journal of Gerontological Nursing|March 28, 2022
Frailty and Social and Behavioral Determinants of Health: Algorithm Refinement and Pattern ValidationSheng-Chieh Lu, Michelle A Mathiason, Karen A Monsen
Frontiers in Oncology|March 17, 2023
On the importance of interpretable machine learning predictions to inform clinical decision making in oncologySheng-Chieh Lu, Christine L Swisher, Caroline Chung, et al.
Quality of Life Research : an International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation|October 29, 2022
Machine learning models for 180-day mortality prediction of patients with advanced cancer using patient-reported symptom dataCai Xu, Ishwaria M Subbiah, Sheng-Chieh Lu, et al.
Journal of Patient-Reported Outcomes|July 25, 2025
Can machine translation match human expertise? Quantifying the performance of large language models in the translation of patient-reported outcome measures (PROMs)Sheng-Chieh Lu, Cai Xu, Manraj Kaur, et al.
Journal of Patient-Reported Outcomes|June 5, 2023
Effectiveness of routine provision of feedback from patient-reported outcome measurements for cancer care improvement: a systematic review and meta-analysisSheng-Chieh Lu, I Porter, J M Valderas, et al.
JMIR Medical Informatics|March 14, 2022
Machine Learning-Based Short-Term Mortality Prediction Models for Patients With Cancer Using Electronic Health Record Data: Systematic Review and Critical AppraisalSheng-Chieh Lu, Cai Xu, Chandler H Nguyen, et al.
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