日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Machine learning integration of serial blood biomarkers enhances cognitive decline prediction in early Parkinson's disease

机器学习整合连续血液生物标志物可提高早期帕金森病认知衰退的预测能力

Mohammadi, Raziyeh; Ng, Samuel Y E; Tan, Jayne Y; Ng, Adeline S L; Deng, Xiao; Choi, Xinyi; Heng, Dede L; Neo, Shermyn; Xu, Zheyu; Tay, Kay-Yaw; Au, Wing-Lok; Tan, Eng-King; Tan, Louis C S; Greene, William; Liakata, Maria; Saffari, Seyed Ehsan

Assessment of social isolation and changes in Parkinson's disease symptoms during the COVID-19 pandemic: A longitudinal study

COVID-19 大流行期间社会隔离与帕金森病症状变化的评估:一项纵向研究

Mehta, Anish; Ng, Samuel Y E; Neo, Shermyn X M; Chia, Nicole S Y; Saffari, Ehsan S; Shivashanmugam, Thyagarajan; Choi, Xinyi; Heng, Dede L; Xu, Z Y; Tay, K Y; Au, W L; Tan, E K; Tan, Louis C S

Machine Learning for Early Detection of Cognitive Decline in Parkinson's Disease Using Multimodal Biomarker and Clinical Data

利用多模态生物标志物和临床数据,通过机器学习早期检测帕金森病认知衰退

Mohammadi, Raziyeh; Ng, Samuel Y E; Tan, Jayne Y; Ng, Adeline S L; Deng, Xiao; Choi, Xinyi; Heng, Dede L; Neo, Shermyn; Xu, Zheyu; Tay, Kay-Yaw; Au, Wing-Lok; Tan, Eng-King; Tan, Louis C S; Steyerberg, Ewout W; Greene, William; Saffari, Seyed Ehsan

SUIHTER: a new mathematical model for COVID-19. Application to the analysis of the second epidemic outbreak in Italy

苏伊特:一种新的新冠病毒数学模型。应用于意大利第二波疫情的分析。

Parolini, N; Dede', L; Antonietti, P F; Ardenghi, G; Manzoni, A; Miglio, E; Pugliese, A; Verani, M; Quarteroni, A

High Outpatient Attendance During COVID-19 Lockdown When Patients Were Given the Option to Return

新冠疫情封锁期间,当患者可以选择返回诊所就诊时,门诊就诊量很高。

Li, Wei-Shan; Heng, Dede L; Chia, Teck Heng; Lim, Ee-Chien; Tan, Eng-King