Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Honghong Huang"'
Autor:
Honghong Huang, Fiona Xin Yi Lim, Gary Tianyu Gu, Matthew Jiangchou Han, Andrew Hao Sen Fang, Elian Hui San Chia, Eileen Yen Tze Bei, Sarah Zhuling Tham, Henry Sun Sien Ho, John Shyi Peng Yuen, Aixin Sun, Jay Kheng Sit Lim
Publikováno v:
Heliyon, Vol 9, Iss 4, Pp e14793- (2023)
Objectives: We aimed to automate routine extraction of clinically relevant unstructured information from uro-oncological histopathology reports by applying rule-based and machine learning (ML)/deep learning (DL) methods to develop an oncology focused
Externí odkaz:
https://doaj.org/article/55185a04e697491bb579cd1565b4170d
Publikováno v:
SAGE Open, Vol 13 (2023)
Military experience, as a special early experience exerts a very profound impact on individual decision making. This paper investigates the impact of military experience on male labor force entrepreneurial choices and its underlying mechanisms, using
Externí odkaz:
https://doaj.org/article/7e017b407f4b45f68429e751953059ef
Publikováno v:
BMJ Open, Vol 13, Iss 1 (2023)
Objective To investigate the effect of continuous positive airway pressure (CPAP) treatment on cognitive function in stroke patients with obstructive sleep apnoea (OSA) by exploring randomised controlled trials (RCTs).Methods Published RCTs that asse
Externí odkaz:
https://doaj.org/article/90aedf439add42a8b31aa657022f254a
Publikováno v:
BMC Infectious Diseases, Vol 21, Iss 1, Pp 1-8 (2021)
Abstract Background Patients with primary brain abscess often present with atypical symptoms, and the outcome varies. We investigated the demographic, laboratory, and neuroimaging features of patients with brain abscess at our hospital and identified
Externí odkaz:
https://doaj.org/article/1563ed06192c47d68c77109a101fdcf3
Autor:
Tianhao Li, Honghong Huang, Shuocun Zhang, Yongdan Zhang, Haoren Jing, Tianwei Sun, Xipeng Zhang, Liangfu Lu, Mingqing Zhang
Publikováno v:
Frontiers in Public Health, Vol 10 (2022)
BackgroundThis study aimed to develop an artificial intelligence predictive model for predicting the probability of developing BM in CRC patients.MethodsFrom SEER database, 50,566 CRC patients were identified between January 2015 and December 2019 wi
Externí odkaz:
https://doaj.org/article/263144573e6845288228b52e6b0af28a
Publikováno v:
Meteorological & Environmental Research. Feb2022, Vol. 13 Issue 1, p31-34. 4p.
Publikováno v:
Frontiers in Aging Neuroscience, Vol 12 (2020)
Mobile phone use has rapidly increased worldwide, and pregnant women are passively or actively exposed to the associated electromagnetic radiation. Maternal cell phone exposure is related to behavioral difficulties in young offspring. However, whethe
Externí odkaz:
https://doaj.org/article/3ee60f6743f6450ba235e735e60b160f
Publikováno v:
Journal of International Medical Research, Vol 48 (2020)
Fucosidosis is a rare lysosomal storage disease, resulting from a deficiency in an alpha- l -fucosidase enzyme. There are fewer than 120 cases of this disease worldwide and very few reported in Chinese children. Here, we report a Chinese boy presenti
Externí odkaz:
https://doaj.org/article/13fd9c55bb254bcaa47541292b1b8f64
Publikováno v:
Folia Neuropathologica, Vol 55, Iss 4, Pp 317-324 (2017)
Introduction : Maternal hypoxia induces an adverse uterine environment and may induce long-term effects in offspring. This study investigated whether maternal hypoxia increases hippocampal cell vulnerability and exacerbates neurological impairments i
Externí odkaz:
https://doaj.org/article/7a62abeb097c47d6a2e34a1266e8c890
Autor:
Honghong Huang, Fiona Xin Yi Lim, Gary Tianyu Gu, Jiangchou Matthew Han, Andrew Hao Sen Fang, Elian Hui San Chia, Yen Tze Eileen Bei, Sarah Zhuling Tham, Aixin Sun, Kheng Sit Lim
BACKGROUND Clinical information is primarily stored digitally as free text in electronic health records (EHRs) at the Singapore General Hospital (SGH). Traditional extraction of registry data fields is manual, laborious and prone to errors. OBJECTIVE
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c02f327cd2bad7fdb244c6b39ef7d322
https://doi.org/10.2196/preprints.37332
https://doi.org/10.2196/preprints.37332