Yuwen Wang
Biographic Data
| ID | 7271720 |
|---|---|
| NAME | Yuwen Wang |
| GIVEN NAMES | Yuwen |
| FAMILY NAME | Wang |
| SIGNATURE | WANG Y |
| AFFILIATIONS | National Cheng Kung University |
| ORCID | 0000-0003-2331-171X |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
The stagnation of child anaemia (6–23 months) in Tanzania from 2004 to 2022
Background: Child anaemia remains a major public health concern in low- and middle-income countries, particularly among children aged <2 years. Given Tanzania's slow progress towards addressing this challenge, despite the implementation of targeted national strategies, we aimed to examine the prevalence and associated factors of anaemia in children aged <2 years. Methods: This cross-sectional study was based on secondary data from the Tanzania De…
Identifying key psychological symptoms by a higher-order network-based approach
The pairwise psychological symptom network approach treats symptoms or questionnaire items as nodes; the pairwise connections between nodes reflect their statistical dependencies and are widely used to identify key symptoms of people with mental disorders. Generally speaking, a person with a mental disorder usually has multiple psychological symptoms, which it is difficult to locate by the pairwise psychological symptom network approach. We propo…
Real-world data-driven early warning system for risk-stratified liver injury in hospitalized Covid-19 patients—Machine learning models for clinical decision support
Objective: To develop and validate a real-world evidence-driven early warning system for the risk-stratified prediction of coronavirus disease 2019 (COVID-19)-associated hepatic dysfunction in hospitalized patients, leveraging interpretable machine learning models to provide clinically actionable decision support for timely intervention. Methods: A retrospective single-center cohort study was conducted utilizing high-resolution electronic health …
Examining drug poisoning in child and adolescent psychiatric patients
Our study highlights the complex relationship between psychiatric disorders and intentional drug overdose among adolescents. Effective prevention strategies, including education on poison prevention, safe medication storage, and safety planning, are crucial for reducing intentional drug overdoses in this vulnerable population
Changes in Blood Pressure Variability in Children with Postural Tachycardia Syndrome
(1) Objective: In this research, we explored the difference in blood pressure variability (BPV) between children with postural tachycardia syndrome (POTS) and healthy children. Furthermore, we tried to investigate the effect of BPV on POTS and its relationship with prognosis of POTS. (2) Methods: 47 children with POTS (11.2 ± 1.8 years, 23 males) were enrolled in the POTS group and 30 healthy children (10.9 ± 1.9 years, 15 males) were matched for…
High Acceptance of Covid-19 Tracing Technologies in Taiwan
Taiwan has been a world leader in controlling the spread of SARS-CoV-2 during the COVID-19 pandemic. Recently, the Taiwan Government launched its COVID-19 tracing app, 'Taiwan Social Distancing App'; however, the effectiveness of this tracing app depends on its acceptance and uptake among the general population. We measured the acceptance of three hypothetical tracing technologies (telecommunication network tracing, a government app, and the Appl…
Young Adults View Smartphone Tracking Technologies for Covid-19 as Acceptable
Taiwan has been successful in controlling the spread of SARS-CoV-2 during the COVID-19 pandemic; however, without a vaccine the threat of a second outbreak remains. Young adults who show few to no symptoms when infected have been identified in many countries as driving the virus' spread through unidentifiable community transmission. Mobile tracking technologies register nearby contacts of a user and notifies them if one later tests positive to th…
Extracts of compound Muniziqi granule suppressed uterus contraction and ameliorated oxytocin-induced primary dysmenorrhea
Anti-amnesic effect of extract and alkaloid fraction from aerial parts of Peganum harmala on scopolamine-induced memory deficits in mice
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Anti-amnesic effect of extract and alkaloid fraction from aerial parts of Peganum harmala on scopolamine-induced memory deficits in mice
Extracts of compound Muniziqi granule suppressed uterus contraction and ameliorated oxytocin-induced primary dysmenorrhea
Young Adults View Smartphone Tracking Technologies for Covid-19 as Acceptable
Taiwan has been successful in controlling the spread of SARS-CoV-2 during the COVID-19 pandemic; however, without a vaccine the threat of a second outbreak remains. Young adults who show few to no symptoms when infected have been identified in many countries as driving the virus' spread through unidentifiable community transmission. Mobile tracking technologies register nearby contacts of a user and notifies them if one later tests positive to th…
High Acceptance of Covid-19 Tracing Technologies in Taiwan
Taiwan has been a world leader in controlling the spread of SARS-CoV-2 during the COVID-19 pandemic. Recently, the Taiwan Government launched its COVID-19 tracing app, 'Taiwan Social Distancing App'; however, the effectiveness of this tracing app depends on its acceptance and uptake among the general population. We measured the acceptance of three hypothetical tracing technologies (telecommunication network tracing, a government app, and the Appl…
Changes in Blood Pressure Variability in Children with Postural Tachycardia Syndrome
(1) Objective: In this research, we explored the difference in blood pressure variability (BPV) between children with postural tachycardia syndrome (POTS) and healthy children. Furthermore, we tried to investigate the effect of BPV on POTS and its relationship with prognosis of POTS. (2) Methods: 47 children with POTS (11.2 ± 1.8 years, 23 males) were enrolled in the POTS group and 30 healthy children (10.9 ± 1.9 years, 15 males) were matched for…
Real-world data-driven early warning system for risk-stratified liver injury in hospitalized Covid-19 patients—Machine learning models for clinical decision support
Objective: To develop and validate a real-world evidence-driven early warning system for the risk-stratified prediction of coronavirus disease 2019 (COVID-19)-associated hepatic dysfunction in hospitalized patients, leveraging interpretable machine learning models to provide clinically actionable decision support for timely intervention. Methods: A retrospective single-center cohort study was conducted utilizing high-resolution electronic health …
Examining drug poisoning in child and adolescent psychiatric patients
Our study highlights the complex relationship between psychiatric disorders and intentional drug overdose among adolescents. Effective prevention strategies, including education on poison prevention, safe medication storage, and safety planning, are crucial for reducing intentional drug overdoses in this vulnerable population
The stagnation of child anaemia (6–23 months) in Tanzania from 2004 to 2022
Background: Child anaemia remains a major public health concern in low- and middle-income countries, particularly among children aged <2 years. Given Tanzania's slow progress towards addressing this challenge, despite the implementation of targeted national strategies, we aimed to examine the prevalence and associated factors of anaemia in children aged <2 years. Methods: This cross-sectional study was based on secondary data from the Tanzania De…
Identifying key psychological symptoms by a higher-order network-based approach
The pairwise psychological symptom network approach treats symptoms or questionnaire items as nodes; the pairwise connections between nodes reflect their statistical dependencies and are widely used to identify key symptoms of people with mental disorders. Generally speaking, a person with a mental disorder usually has multiple psychological symptoms, which it is difficult to locate by the pairwise psychological symptom network approach. We propo…
Medicine (7 works) · Computer Science (3 works) · Internal Medicine (3 works) · Artificial Intelligence (2 works) · Bluetooth (2 works) · Business (2 works) · Chemistry (2 works) · Coronavirus disease 2019 (COVID-19 (2 works) · COVID-19 Digital Contact Tracing (2 works) · Emergency Medicine (2 works)