Haoyu Chen
Biographic Data
| ID | 7169896 |
|---|---|
| NAME | Haoyu Chen |
| GIVEN NAMES | Haoyu |
| FAMILY NAME | Chen |
| SIGNATURE | CHEN H |
| AFFILIATIONS | Shanxi Medical University |
| ORCID | 0000-0003-4110-4685 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
National divergence in cardio-kidney-metabolic syndrome burden and implications for health policy
Background The co-occurring epidemics of diabetes and obesity have increased the prevalence of Cardio-Kidney-Metabolic (CKM) syndrome. Comparative studies on long-term trends of its three core components [ischemic heart disease (IHD), diabetic kidney disease (DKD), non-alcoholic fatty liver disease (NAFLD)] across major countries are still limited. Methods We analyzed age-standardized disability-adjusted life year (DALY) rates of IHD, DKD, and NA…
Hybrid intelligence
Artificial intelligence (AI) is becoming increasingly ubiquitous in all areas of life. A concrete example is the urgent need to develop new educational practices in the post-pandemic world, as called for in the OECD 2021 Report on Digital Education (OECD, 2021). Furthermore, it has been estimated that more than half of the tasks associated with almost half of all jobs have been exposed to AI, and at least 19% of tasks associated with more than 80…
A risk prediction model based on machine learning for early cognitive impairment in hypertension
Background: Clinical practice guidelines recommend early identification of cognitive impairment in individuals with hypertension with the help of risk prediction tools based on risk factors. Objective: The aim of this study was to develop a superior machine learning model based on easily collected variables to predict the risk of early cognitive impairment in hypertensive individuals, which could be used to optimize early cognitive impairment ris…
Smartphone ophthalmoscope as a tool in teaching direct ophthalmoscopy
To evaluate the effectiveness of smartphone ophthalmoscope (SO) in teaching ophthalmoscopy, compared with direct ophthalmoscope (DO). In this cross-over study, 45 final-year medical students attending sessions at a single institution were randomly allocated to two groups (A and B). Both groups attended two training sessions. In the first session, Group A students were taught ophthalmoscopy using DO and Group B students using SO. In the second ses…
Retrospective analysis of the accuracy of predicting the alert level of Covid-19 in 202 countries using Google Trends and machine learning
BACKGROUND: Internet search engine data, such as Google Trends, was shown to be correlated with the incidence of COVID-19, but only in several countries. We aim to develop a model from a small number of countries to predict the epidemic alert level in all the countries worldwide. METHODS: The "interest over time" and "interest by region" Google Trends data of Coronavirus, pneumonia, and six COVID symptom-related terms were searched. The daily inc…
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Retrospective analysis of the accuracy of predicting the alert level of Covid-19 in 202 countries using Google Trends and machine learning
BACKGROUND: Internet search engine data, such as Google Trends, was shown to be correlated with the incidence of COVID-19, but only in several countries. We aim to develop a model from a small number of countries to predict the epidemic alert level in all the countries worldwide. METHODS: The "interest over time" and "interest by region" Google Trends data of Coronavirus, pneumonia, and six COVID symptom-related terms were searched. The daily inc…
A risk prediction model based on machine learning for early cognitive impairment in hypertension
Background: Clinical practice guidelines recommend early identification of cognitive impairment in individuals with hypertension with the help of risk prediction tools based on risk factors. Objective: The aim of this study was to develop a superior machine learning model based on easily collected variables to predict the risk of early cognitive impairment in hypertensive individuals, which could be used to optimize early cognitive impairment ris…
Smartphone ophthalmoscope as a tool in teaching direct ophthalmoscopy
To evaluate the effectiveness of smartphone ophthalmoscope (SO) in teaching ophthalmoscopy, compared with direct ophthalmoscope (DO). In this cross-over study, 45 final-year medical students attending sessions at a single institution were randomly allocated to two groups (A and B). Both groups attended two training sessions. In the first session, Group A students were taught ophthalmoscopy using DO and Group B students using SO. In the second ses…
Hybrid intelligence
Artificial intelligence (AI) is becoming increasingly ubiquitous in all areas of life. A concrete example is the urgent need to develop new educational practices in the post-pandemic world, as called for in the OECD 2021 Report on Digital Education (OECD, 2021). Furthermore, it has been estimated that more than half of the tasks associated with almost half of all jobs have been exposed to AI, and at least 19% of tasks associated with more than 80…
National divergence in cardio-kidney-metabolic syndrome burden and implications for health policy
Background The co-occurring epidemics of diabetes and obesity have increased the prevalence of Cardio-Kidney-Metabolic (CKM) syndrome. Comparative studies on long-term trends of its three core components [ischemic heart disease (IHD), diabetic kidney disease (DKD), non-alcoholic fatty liver disease (NAFLD)] across major countries are still limited. Methods We analyzed age-standardized disability-adjusted life year (DALY) rates of IHD, DKD, and NA…
Computer Science (4 works) · Artificial Intelligence (3 works) · Medicine (3 works) · Machine learning (2 works) · Area under the curve (1 work) · Artificial Intelligence (1 work) · Biology (1 work) · Burden of disease (1 work) · China (1 work) · Chronic Kidney Disease and Diabetes (1 work)