Search Results - "Ning, Yilin"

Refined composite hierarchical bidirectional diversity entropy and its application in fault type diagnosis and fault degree diagnosis of diesel engine fuel injectors by Ke, Yun, Song, Enzhe, Yao, Chong, Ding, Shunliang, Ning, Yilin, Li, Rui

“…The performance of a diesel engine is closely related to the injector, and the fuel pressure shock signal for monitoring the state of the injector always…”
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Estimating risk ratio from any standard epidemiological design by doubling the cases by Ning, Yilin, Lam, Anastasia, Reilly, Marie

“…Despite the ease of interpretation and communication of a risk ratio (RR), and several other advantages in specific settings, the odds ratio (OR) is more…”
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Individual and Population Trajectories of Influenza Antibody Titers Over Multiple Seasons in a Tropical Country by Zhao, Xiahong, Ning, Yilin, Chen, Mark I-Cheng, Cook, Alex R

“…Abstract Seasonal influenza epidemics occur year-round in the tropics, complicating the planning of vaccination programs. We built an individual-level…”
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Explainable artificial intelligence in emergency medicine: an overview by Okada, Yohei, Ning, Yilin, Ong, Marcus Eng Hock

“…Artificial intelligence (AI) and machine learning (ML) have potential to revolutionize emergency medical care by enhancing triage systems, improving diagnostic…”
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AutoScore-Ordinal: an interpretable machine learning framework for generating scoring models for ordinal outcomes by Saffari, Seyed Ehsan, Ning, Yilin, Xie, Feng, Chakraborty, Bibhas, Volovici, Victor, Vaughan, Roger, Ong, Marcus Eng Hock, Liu, Nan

“…Abstract Background Risk prediction models are useful tools in clinical decision-making which help with risk stratification and resource allocations and may…”
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Synthesis of 4-aminobenzenesulfonic acid functionalized carbon catalyst through diazonium salt reduction for biodiesel production by Niu, Shengli, Yu, Hewei, Ning, Yilin, Tang, Xincheng, Zhang, Xiangyu, Zhao, Shuang, Han, Kuihua, Lu, Chunmei

“…•Coal carbon catalysts are synthesized through diazonium salt reduction.•Carbon catalyst gains developed microstructure under chemical activation effect.•The…”
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Introducing Native Tree Species Alter the Soil Organic Carbon, Nitrogen, Phosphorus, and Fine Roots in Moso Bamboo Plantations by Yilin Ning, Zedong Chen, Hongdi Gao, Chuanbao Yang, Xu Zhang, Zijie Wang, Anke Wang, Xuhua Du, Lan Lan, Yufang Bi

“…Bamboo and wood-mixed forests are management models that remarkably enhance the balance and productivity of bamboo ecosystems. However, the effects of this…”
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Monitoring Forest Diversity under Moso Bamboo Invasion: A Random Forest Approach by Zijie Wang, Yufang Bi, Gang Lu, Xu Zhang, Xiangyang Xu, Yilin Ning, Xuhua Du, Anke Wang

“…Moso bamboo (Phyllostachys edulis) is a crucial species among the 500 varieties of bamboo found in China and plays an important role in providing ecosystem…”
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Heat-related illness in Singapore: Descriptive analysis of a tertiary care center from 2008 to 2020 by Okada, Yohei, Aik, Joel, Ho, Andrew Fu Wah, Ning, Yilin, Ong, Marcus Eng Hock

“…Background This study aimed to describe the clinical characteristics and epidemiology of heat-related illnesses presented at a tertiary hospital in Singapore…”
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To negotiate, mediate or litigate?: Examining the durability of divorce outcomes in the Singapore family courts by Quek Anderson, Dorcas, Chua, Eunice, Ning, Yilin

“…For many years, the courts have been grappling with the paradox of marriages-the most intimate of relationships-being dissolved in the courts that represent a…”
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Disparities in clinical studies of AI enabled applications from a global perspective by Yang, Rui, Nair, Sabarinath Vinod, Ke, Yuhe, D’Agostino, Danny, Liu, Mingxuan, Ning, Yilin, Liu, Nan

“…Artificial intelligence (AI) has been extensively researched in medicine, but its practical application remains limited. Meanwhile, there are various…”
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Development and validation of an interpretable prehospital return of spontaneous circulation (P-ROSC) score for patients with out-of-hospital cardiac arrest using machine learning: A retrospective study by Liu, Nan, Liu, Mingxuan, Chen, Xinru, Ning, Yilin, Lee, Jin Wee, Siddiqui, Fahad Javaid, Saffari, Seyed Ehsan, Ho, Andrew Fu Wah, Shin, Sang Do, Ma, Matthew Huei-Ming, Tanaka, Hideharu, Ong, Marcus Eng Hock

“…Return of spontaneous circulation (ROSC) before arrival at the emergency department is an early indicator of successful resuscitation in out-of-hospital…”
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Using marginal standardisation to estimate relative risk without dichotomising continuous outcomes by Chen, Ying, Ning, Yilin, Kao, Shih Ling, Støer, Nathalie C, Müller-Riemenschneider, Falk, Venkataraman, Kavita, Khoo, Eric Yin Hao, Tai, E-Shyong, Tan, Chuen Seng

“…Although criticisms regarding the dichotomisation of continuous variables are well known, applying logit model to dichotomised outcomes is the convention…”
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A translational perspective towards clinical AI fairness by Liu, Mingxuan, Ning, Yilin, Teixayavong, Salinelat, Mertens, Mayli, Xu, Jie, Ting, Daniel Shu Wei, Cheng, Lionel Tim-Ee, Ong, Jasmine Chiat Ling, Teo, Zhen Ling, Tan, Ting Fang, RaviChandran, Narrendar, Wang, Fei, Celi, Leo Anthony, Ong, Marcus Eng Hock, Liu, Nan

“…Artificial intelligence (AI) has demonstrated the ability to extract insights from data, but the fairness of such data-driven insights remains a concern in…”
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Predicting Satisfaction for Unicompartmental Knee Arthroplasty Patients in an Asian Population by Lee, Merrill, MBBS, Huang, Yilun, MBBS, MRCS, Chong, Hwei Chi, BAppSc (Physio), Ning, Yilin, BS, Lo, Ngai Nung, MBBS, FRCS (Edin), FAMS, Yeo, Seng Jin, MBBS, FRCS (Edin), FAMS

“…Abstract Background Despite renewed interest in unicompartmental knee arthroplasty (UKA), there is a paucity of published literature with regard to patient…”
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A universal AutoScore framework to develop interpretable scoring systems for predicting common types of clinical outcomes by Xie, Feng, Ning, Yilin, Liu, Mingxuan, Li, Siqi, Saffari, Seyed Ehsan, Yuan, Han, Volovici, Victor, Ting, Daniel Shu Wei, Goldstein, Benjamin Alan, Ong, Marcus Eng Hock, Vaughan, Roger, Chakraborty, Bibhas, Liu, Nan

“…The AutoScore framework can automatically generate data-driven clinical scores in various clinical applications. Here, we present a protocol for developing…”
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Development and validation of an interpretable machine learning scoring tool for estimating time to emergency readmissions by Xie, Feng, Liu, Nan, Yan, Linxuan, Ning, Yilin, Lim, Ka Keat, Gong, Changlin, Kwan, Yu Heng, Ho, Andrew Fu Wah, Low, Lian Leng, Chakraborty, Bibhas, Ong, Marcus Eng Hock

“…Emergency readmission poses an additional burden on both patients and healthcare systems. Risk stratification is the first step of transitional care…”
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A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort study by Ning, Yilin, Li, Siqi, Ong, Marcus Eng Hock, Xie, Feng, Chakraborty, Bibhas, Ting, Daniel Shu Wei, Liu, Nan

“…Risk scores are widely used for clinical decision making and commonly generated from logistic regression models. Machine-learning-based methods may work well…”
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Gender disparities among adult recipients of layperson bystander cardiopulmonary resuscitation by location of cardiac arrest in Pan-Asian communities: A registry-based study by Liu, Nan, Ning, Yilin, Ong, Marcus Eng Hock, Saffari, Seyed Ehsan, Ryu, Hyun Ho, Kajino, Kentaro, Lin, Chih-Hao, Karim, Sarah Abdul, Rao, G.V. Ramana, Ho, Andrew Fu Wah, Lim, Shir Lynn, Siddiqui, Fahad Javaid

“…Bystander cardiopulmonary resuscitation (BCPR) is a critical component of the 'chain of survival' in reducing mortality among out-of-hospital cardiac arrest…”
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Robust estimation of the effect of an exposure on the change in a continuous outcome by Ning, Yilin, Staer, Nathalie C, Ho, Peh Joo, Kao, Shih Ling, Ngiam, Kee Yuan, Khoo, Eric Yin Hao, Lee, Soo Chin, Tai, E-Shyong, Hartman, Mikael, Reilly, Marie, Tan, Chuen Seng

“…Abstract Background The change in two measurements of a continuous outcome can be modelled directly with a linear regression model, or indirectly with a random…”
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