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Related papers: A Study of Social and Behavioral Determinants of H…

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Objective: We aim to develop an open-source natural language processing (NLP) package, SODA (i.e., SOcial DeterminAnts), with pre-trained transformer models to extract social determinants of health (SDoH) for cancer patients, examine the…

Background: There is growing evidence that social and behavioral determinants of health (SBDH) play a substantial effect in a wide range of health outcomes. Electronic health records (EHRs) have been widely employed to conduct observational…

Objective: Social determinants of health (SDOH) impact health outcomes and are documented in the electronic health record (EHR) through structured data and unstructured clinical notes. However, clinical notes often contain more…

Computation and Language · Computer Science 2023-04-17 Kevin Lybarger , Nicholas J Dobbins , Ritche Long , Angad Singh , Patrick Wedgeworth , Ozlem Ozuner , Meliha Yetisgen

Social Determinants of Health (SDOH) refer to environmental, behavioral, and social conditions that influence how individuals live, work, and age. SDOH have a significant impact on personal health outcomes, and their systematic…

Computation and Language · Computer Science 2026-05-27 Ertan Dogan , Kunyu Yu , Yifan Peng

Social determinants of health (SDoH) significantly influence health outcomes, shaping disease progression, treatment adherence, and health disparities. However, their documentation in structured electronic health records (EHRs) is often…

Social determinants of health (SDoH) have an important impact on patient outcomes but are incompletely collected from the electronic health records (EHR). This study researched the ability of large language models to extract SDoH from free…

Social and behavioral determinants of health (SDOH) play a significant role in shaping health outcomes, and extracting these determinants from clinical notes is a first step to help healthcare providers systematically identify opportunities…

Computation and Language · Computer Science 2023-10-31 Adam D. Lelkes , Eric Loreaux , Tal Schuster , Ming-Jun Chen , Alvin Rajkomar

Patient life circumstances, including social determinants of health (SDOH), shape both health outcomes and care access, contributing to persistent disparities across gender, race, and socioeconomic status. Liver transplantation exemplifies…

Clinical factors account only for a small portion, about 10-30%, of the controllable factors that affect an individual's health outcomes. The remaining factors include where a person was born and raised, where he/she pursued their…

Artificial Intelligence · Computer Science 2023-02-14 Navya Martin Kollapally , James Geller

Social Determinants of Health (SDoH) are economic, social and personal circumstances that affect or influence an individual's health status. SDoHs have shown to be correlated to wellness outcomes, and therefore, are useful to physicians in…

Computation and Language · Computer Science 2025-05-09 Paul Landes , Jimeng Sun , Adam Cross

We aimed to investigate the impact of social circumstances on cancer therapy selection using natural language processing to derive insights from social worker documentation. We developed and employed a Bidirectional Encoder Representations…

Computation and Language · Computer Science 2023-06-19 Shenghuan Sun , Travis Zack , Christopher Y. K. Williams , Atul J. Butte , Madhumita Sushil

Importance: Social determinants of health (SDOH) are known to be associated with increased risk of suicidal behaviors, but few studies utilized SDOH from unstructured electronic health record (EHR) notes. Objective: To investigate…

Research projects, including those focused on cancer, rely on the manual extraction of information from clinical reports. This process is time-consuming and prone to errors, limiting the efficiency of data-driven approaches in healthcare.…

Computation and Language · Computer Science 2025-05-16 J. Moreno-Casanova , J. M. Auñón , A. Mártinez-Pérez , M. E. Pérez-Martínez , M. E. Gas-López

Recent advances in natural language processing (NLP) have been driven bypretrained language models like BERT, RoBERTa, T5, and GPT. Thesemodels excel at understanding complex texts, but biomedical literature, withits domain-specific…

Computation and Language · Computer Science 2025-07-28 K. Sahit Reddy , N. Ragavenderan , Vasanth K. , Ganesh N. Naik , Vishalakshi Prabhu , Nagaraja G. S

Social and behavioral determinants of health (SBDH) play a crucial role in health outcomes and are frequently documented in clinical text. Automatically extracting SBDH information from clinical text relies on publicly available…

Computation and Language · Computer Science 2025-09-09 Avijit Mitra , Zhichao Yang , Emily Druhl , Raelene Goodwin , Hong Yu

Objective: This review aims to analyze the application of natural language processing (NLP) techniques in cancer research using electronic health records (EHRs) and clinical notes. This review addresses gaps in the existing literature by…

Computation and Language · Computer Science 2025-02-05 Muhammad Bilal , Ameer Hamza , Nadia Malik

Social determinants of health (SDOH) $-$ the myriad of circumstances in which people live, grow, and age $-$ play an important role in health outcomes. However, existing outcome prediction models often only use proxies of SDOH as features.…

Computation and Language · Computer Science 2024-07-16 Chase Fensore , Rodrigo M. Carrillo-Larco , Shivani A. Patel , Alanna A. Morris , Joyce C. Ho

Natural language processing (NLP) is becoming an important means for automatic recognition of human traits and states, such as intoxication, presence of psychiatric disorders, presence of airway disorders and states of stress. Such…

Computation and Language · Computer Science 2021-06-03 Joppe Wouts , Janna de Boer , Alban Voppel , Sanne Brederoo , Sander van Splunter , Iris Sommer

Social determinants of health (SDoH) play a critical role in shaping health outcomes, particularly in pediatric populations where interventions can have long-term implications. SDoH are frequently studied in the Electronic Health Record…

Large Language Models (LLMs) excel in Natural Language Processing (NLP) tasks, but they often propagate biases embedded in their training data, which is potentially impactful in sensitive domains like healthcare. While existing benchmarks…

Computation and Language · Computer Science 2026-03-11 Trung Hieu Ngo , Adrien Bazoge , Solen Quiniou , Pierre-Antoine Gourraud , Emmanuel Morin
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