AI Medical Compendium Journal:
Journal of healthcare informatics research

Showing 1 to 10 of 10 articles

Enhancing Patient-Physician Communication: Simulating African American Vernacular English in Medical Diagnostics with Large Language Models.

Journal of healthcare informatics research
UNLABELLED: Effective communication is crucial in reducing health disparities. However, linguistic differences, such as African American Vernacular English (AAVE), can lead to communication gaps between patients and physicians, negatively affecting c...

Depression Detection on Social Media: A Classification Framework and Research Challenges and Opportunities.

Journal of healthcare informatics research
Social media has become a safe space for discussing sensitive topics such as mental disorders. Depression dominates mental disorders globally, and accordingly, depression detection on social media has witnessed significant research advances. This stu...

Interpretable Predictive Models to Understand Risk Factors for Maternal and Fetal Outcomes.

Journal of healthcare informatics research
Although most pregnancies result in a good outcome, complications are not uncommon and can be associated with serious implications for mothers and babies. Predictive modeling has the potential to improve outcomes through a better understanding of ris...

Clinical Feature Ranking Based on Ensemble Machine Learning Reveals Top Survival Factors for Glioblastoma Multiforme.

Journal of healthcare informatics research
Glioblastoma multiforme (GM) is a malignant tumor of the central nervous system considered to be highly aggressive and often carrying a terrible survival prognosis. An accurate prognosis is therefore pivotal for deciding a good treatment plan for pat...

Face-Based Attention Recognition Model for Children with Autism Spectrum Disorder.

Journal of healthcare informatics research
UNLABELLED: Attention recognition plays a vital role in providing learning support for children with autism spectrum disorders (ASD). The unobtrusiveness of face-tracking techniques makes it possible to build automatic systems to detect and classify ...

Improving Risk Assessment of Miscarriage During Pregnancy with Knowledge Graph Embeddings.

Journal of healthcare informatics research
Miscarriages are the most common type of pregnancy loss, mostly occurring in the first 12 weeks of pregnancy. Pregnancy risk assessment aims to quantify evidence to reduce such maternal morbidities, and personalized decision support systems are the c...

A Pilot Study to Detect Agitation in People Living with Dementia Using Multi-Modal Sensors.

Journal of healthcare informatics research
People living with dementia (PLwD) often exhibit behavioral and psychological symptoms, such as episodes of agitation and aggression. Agitated behavior in PLwD causes distress and increases the risk of injury to both patients and caregivers. In this ...

Harnessing Psycho-lingual and Crowd-Sourced Dictionaries for Predicting Taboos in Written Emotional Disclosure in Anonymous Confession Boards.

Journal of healthcare informatics research
There have been many efforts in the last decade in the health informatics community to develop systems that can automatically recognize and predict disclosures on social media. However, a majority of such efforts have focused on simple topic predicti...

Using Graph Representation Learning to Predict Salivary Cortisol Levels in Pancreatic Cancer Patients.

Journal of healthcare informatics research
Cortisol is a glucocorticoid hormone that is critical to immune system functioning. Studies show that prolonged exposure to high levels of cortisol can lead to a range of physical health ailments including the progression of tumor growth. The ability...

Detection of Surgical Site Infection Utilizing Automated Feature Generation in Clinical Notes.

Journal of healthcare informatics research
Postsurgical complications (PSCs) are known as a deviation from the normal postsurgical course and categorized by severity and treatment requirements. Surgical site infection (SSI) is one of major PSCs and the most common healthcare-associated infect...