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Profil bibliographique

Doris Yang

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

27Publications signalées
150Citations signalées
2Affiliations récentes

Les institutions déclarées

Les domaines associés

Long-Term Effects of COVID-19Machine Learning in HealthcareSARS-CoV-2 and COVID-19 ResearchIntensive Care Unit Cognitive DisordersArtificial Intelligence in Healthcare

Les publications récentes

Accès ouvert 2025 article OpenAlex

Is It Necessary for Cardiovascular Doctors to Learn More about Psychology and Mental Diseases?

Jianan Wang, Doris Yang, Icey Zhang, Meiyan Liu

Cardiovascular disease (CVD) remains a highly prevalent condition globally; there were 626 million prevalent cases of CVD in 2023 globally.[1] As well, mental health conditions are widespread. According to new data released by the World Health Organization, more than 1 billion people …

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0 citations Heart and Mind
Accès ouvert 2025 article OpenAlex

Label efficient phenotyping for Long COVID using electronic health records

Chuan Hong, Jun Wen, Harrison G. Zhang, Vidul Ayakulangara Panickan et autres

Long COVID poses a significant disease burden globally, but its heterogeneous presentation and unreliable coding practices render it difficult to study. Developing efficient phenotyping algorithms is crucial to enabling risk prediction and effective management of Long COVID. We introduce the LAbel-efficienT Long …

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7 citations npj Digital Medicine
Accès ouvert 2025 article OpenAlex

Seeing the Humanity in Health Care

Ismail Laher, Carolyn Canfield, Meiyan Liu, Icey Zhang et autres

The practice of medicine relies on the love of humanity. In the race for efficiency and innovation, physicians can often overlook the personal circumstances behind the data and presentation of the patient they are treating. Physicians should be focused on treating the …

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0 citations Heart and Mind
Accès ouvert 2025 article OpenAlex

Current Landscape and Latest Advances of Stress Cardiomyopathy

Jun Jiang, Doris Yang, Icey Zhang

Cardiovascular diseases (CVDs) are the leading cause of death globally. An estimated 17.9 million people died from CVDs in 2019, representing 32% of all global deaths.[1] The Global Burden of Diseases, Injuries, and Risk Factors Study indicated that ischemic heart disease, ischemic …

cn (code pays fourni par la source)

0 citations Heart and Mind
Accès ouvert 2024 article OpenAlex

Robust Automated Harmonization of Heterogeneous Data Through Ensemble Machine Learning: Algorithm Development and Validation Study

Doris Yang, Doudou Zhou, Steven Cai, Gan Zi-ming et autres

Background: Cohort studies contain rich clinical data across large and diverse patient populations and are a common source of observational data for clinical research. Because large scale cohort studies are both time and resource intensive, one alternative is to harmonize data from …

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1 citation JMIR Medical Informatics
Accès ouvert 2024 article OpenAlex

Multisource representation learning for pediatric knowledge extraction from electronic health records

Mengyan Li, Xiaoou Li, Kevin Pan, Alon Geva et autres

Electronic Health Record (EHR) systems are particularly valuable in pediatrics due to high barriers in clinical studies, but pediatric EHR data often suffer from low content density. Existing EHR code embeddings tailored for the general patient population fail to address the unique …

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4 citations npj Digital Medicine
Accès ouvert 2024 article OpenAlex

Overexpression of TBX3 suppresses tumorigenesis in experimental and human cholangiocarcinoma

Shanshan Deng, Xinjun Lu, Xue Wang, Binyong Liang et autres

TBX3 behaves as a tumor suppressor or oncoprotein across cancer. However, TBX3 function remains undetermined in intrahepatic cholangiocarcinoma (iCCA), a deadly primary liver malignancy with few systemic treatment options. This study sought to investigate the impact of TBX3 on iCCA. We found …

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2 citations Cell Death and Disease
Accès ouvert 2024 article OpenAlex

Characterization of Post–COVID-19 Definitions and Clinical Coding Practices: Longitudinal Study

Monika Maripuri, Andrew Dey, Jacqueline Honerlaw, Chuan Hong et autres

BACKGROUND: Post-COVID-19 condition (colloquially known as "long COVID-19") characterized as postacute sequelae of SARS-CoV-2 has no universal clinical case definition. Recent efforts have focused on understanding long COVID-19 symptoms, and electronic health record (EHR) data provide a unique resource for understanding this …

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14 citations Online Journal of Public Health Informatics
Accès ouvert 2024 article OpenAlex

Learn to Sleep Well and Do It Early – Advice from Sleep Expert Prof. Michael V. Vitiello

Michael V. Vitiello, Doris Yang, Meiyan Liu

FOREWORD Disordered sleep can negatively impact both physical and mental health. It is no exaggeration to say that sleep disturbance affects all aspects of people’s everyday lifes. Sleep research is steadily clarifying the full nature of sleep relationships with health. Prof. Michael …

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1 citation Heart and Mind
Accès ouvert 2024 preprint OpenAlex

Multi-Source Graph Synthesis (MUGS) for Pediatric Knowledge Graphs from Electronic Health Records

Mengyan Li, Xiaoou Li, Kevin Pan, Alon Geva et autres

Abstract The wealth of valuable real-world medical data found within Electronic Health Record (EHR) systems is particularly significant in the field of pediatrics, where conventional clinical studies face notably high barriers. However, constructing accurate knowledge graphs from pediatric EHR data is challenging …

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0 citations medRxiv
Accès ouvert 2023 dataset OpenAlex

Spatial Transcriptomics in HCC

Rama Shankar, Mingdian Tan, Yueqi Zhang, Benjamin Green et autres

The morbidity of Hepatocellular carcinoma (HCC) is highest in individuals with chronic liver diseases (CLD). However, the effects of cell composition on the progression of CLDs to HCC remain elusive. To gain a better understanding of the spatial distribution of cells and …

us (code pays fourni par la source)

0 citations Zenodo (CERN European Organization for Nuclear Research)
Accès ouvert 2023 dataset OpenAlex

Spatial Transcriptomics in HCC

Rama Shankar, Mingdian Tan, Yueqi Zhang, Benjamin Green et autres

The morbidity of Hepatocellular carcinoma (HCC) is highest in individuals with chronic liver diseases (CLD). However, the effects of cell composition on the progression of CLDs to HCC remain elusive. To gain a better understanding of the spatial distribution of cells and …

us (code pays fourni par la source)

0 citations Zenodo (CERN European Organization for Nuclear Research)

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