Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jing Y"'
Autor:
Tingyan Luo, Jie Zhou, Jing Yang, Yulan Xie, Yiru Wei, Huanzhuo Mai, Dongjia Lu, Yuecong Yang, Ping Cui, Li Ye, Hao Liang, Jiegang Huang
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e49400 (2023)
BackgroundInternet-derived data and the autoregressive integrated moving average (ARIMA) and ARIMA with explanatory variable (ARIMAX) models are extensively used for infectious disease surveillance. However, the effectiveness of the Baidu search inde
Externí odkaz:
https://doaj.org/article/a9dc578989864d0e8391e0edc485cddd
Publikováno v:
Journal of Medical Internet Research, Vol 24, Iss 11, p e40364 (2022)
BackgroundChronic diseases are putting huge pressure on health care systems. Nurses are widely recognized as one of the competent health care providers who offer comprehensive care to patients during rehabilitation after hospitalization. In recent ye
Externí odkaz:
https://doaj.org/article/c988bcce7b9d47cfa1713bf79e780c52
Publikováno v:
Journal of Medical Internet Research, Vol 24, Iss 8, p e40090 (2022)
BackgroundPatients undergoing heart surgery may experience a range of physiological changes, and the postoperative recovery time is long. Patients and their families often have concerns about quality of life (QoL) after discharge. eHealth interventio
Externí odkaz:
https://doaj.org/article/24c96f45a7094a84b9358486b85f64d9
Autor:
Jing Yuan, Rhoda Au, Cody Karjadi, Ting Fang Ang, Sherral Devine, Sanford Auerbach, Charles DeCarli, David J Libon, Jesse Mez, Honghuang Lin
Publikováno v:
Journal of Medical Internet Research, Vol 24, Iss 4, p e34513 (2022)
BackgroundThe digital Clock Drawing Test (dCDT) has been recently used as a more objective tool to assess cognition. However, the association between digitally obtained clock drawing features and structural neuroimaging measures has not been assessed
Externí odkaz:
https://doaj.org/article/aedae3bd8cca4afebd8bc73028abae1f
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 9, p e27576 (2021)
BackgroundMultidisciplinary treatment (MDT) and adjuvant therapy are associated with improved survival rates in breast cancer. However, nonadherence to MDT decisions is common in patients. We developed a smartphone-based app that can facilitate the f
Externí odkaz:
https://doaj.org/article/8e155713fb15416ea30a26d1ad5c391c