Wilson Tam

Associate Professor and Director of Research

National University of Singapore (NUS)

Singapore

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Wilson Tam is an Associate Professor and Director of Research at the National University of Singapore. His research areas include the application of machine learning in healthcare, effective care interventions for stroke patients, and the experiences of families in hospice care for terminally ill cancer patients. He has contributed to numerous systematic reviews and meta-analyses focusing on improving patient outcomes and healthcare quality.

Articles (19)

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2025

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2023

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2022

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2022

Collaborators (13)

Seng Giap Marcus Ang

Lecturer

Edith Cowan University

AUSTRALIA

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Han Shi Jocelyn Chew

National University of Singapore (NUS)

SINGAPORE

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Wenru Wang

Associate Professor

National University of Singapore (NUS)

SINGAPORE

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Roger Ho

Associate Professor and Senior Consultant

National University of Singapore (NUS)

SINGAPORE

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Jeroen Hendriks

Flinders University

AUSTRALIA

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Lemma Negesa Bulto

Flinders University

AUSTRALIA

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Violeta Lopez

Adjunct Professor

Central Queensland University

AUSTRALIA

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Georgios K. Dimitriadis

King’s College London

UNITED KINGDOM

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Wai Tong Chien

Edinburgh Napier University

UNITED KINGDOM

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Kang Sim

Adjunct Associate Professor

Lee Kong Chian School of Medicine

SINGAPORE

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Su Lin Lim

Chief Dietitian

National University Hospital

SINGAPORE

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Wentao Zhou

SINGAPORE

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Yong Shian Goh

Assistant Professor

National University of Singapore (NUS)

SINGAPORE

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Wilson Tam

Research Interests

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Articles (19)

Family Experiences, Needs, and Perceptions in Home-Based Hospice Care for Patients With Terminal Cancer: Meta-Synthesis and Systematic Review

Accuracy of machine learning methods in predicting prognosis of patients with psychotic spectrum disorders: a systematic review

Effectiveness of Multidisciplinary Transitional Care Interventions on Functional Status, Quality of Life and Readmission Rates in Stroke Patients: A Systematic Review and Meta‐Analysis

Role of rapid 12-lead electrocardiogram in triage initiatives for ST-elevation myocardial infarction patients self-presenting in emergency departments: a systematic review and meta-analysis

A Brief Review on Benchmarking for Large Language Models Evaluation in Healthcare

Correction: Effectiveness of an Artificial Intelligence-Assisted App for Improving Eating Behaviors: Mixed Methods Evaluation

Path analysis of self-care amongst community-dwelling pre-ageing and older adults with chronic diseases: A salutogenic model

Transforming nursing with large language models: from concept to practice

Effectiveness of non‐pharmacological interventions in improving sleep quality after cardiac surgery: A systematic review and meta‐analysis

Factors associated with registered nurses' academic performance in advanced practice nursing preparatory education: A retrospective cohort study

Relationships of person-related, problem-related, and environment-related factors to self-care behaviours and the mediating role of self-confidence among patients with heart failure: Cross-sectional analysis of structural equation modelling

Characteristics, methodological, and reporting quality of scoping reviews published in nursing journals: A systematic review

Assessment of the general public’s knowledge of atrial fibrillation through social media: a cross-sectional study

Empowering workplace allies for lesbian, gay, bisexual, and transgender employees to prevent and minimize psychological distress: A scoping review

The information needs of patients with atrial fibrillation: A scoping review

Socio-Demographic, Behavioral and Psychological Factors Associated with High BMI among Adults in a Southeast Asian Multi-Ethnic Society: A Structural Equation Model

Amplifying research influence through the social network, open access publishing, and international collaboration: A mediation analysis on nursing studies literature

The predictors of health-enhancing physical activity among working women in Singapore two years into COVID-19: a cross-sectional study

A Meta-Analysis of Group Cognitive Behavioral Therapy and Group Psychoeducation for Treating Symptoms and Preventing Relapse in People Living with Bipolar Disorder

Collaborators (13)

Seng Giap Marcus Ang

Han Shi Jocelyn Chew

Wenru Wang

Roger Ho

Jeroen Hendriks

Lemma Negesa Bulto

Violeta Lopez

Georgios K. Dimitriadis

Wai Tong Chien

Kang Sim

Su Lin Lim

Wentao Zhou

Yong Shian Goh

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