Diana Ferreira

ORCID: 0000-0003-2326-2153
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Research Areas
  • Artificial Intelligence in Healthcare
  • Electronic Health Records Systems
  • Machine Learning in Healthcare
  • Quality and Safety in Healthcare
  • Healthcare Technology and Patient Monitoring
  • Big Data and Business Intelligence
  • Data Quality and Management
  • Retinal Imaging and Analysis
  • Ovarian function and disorders
  • Video Surveillance and Tracking Methods
  • Health Education and Validation
  • Clinical practice guidelines implementation
  • Human Pose and Action Recognition
  • COVID-19 diagnosis using AI
  • Liver Disease Diagnosis and Treatment
  • Data Mining Algorithms and Applications
  • Artificial Intelligence in Healthcare and Education
  • Pediatric Hepatobiliary Diseases and Treatments
  • Persona Design and Applications
  • Recommender Systems and Techniques
  • Service and Product Innovation
  • Digital Radiography and Breast Imaging
  • Imbalanced Data Classification Techniques
  • Consumer Attitudes and Food Labeling
  • Analytical Chemistry and Chromatography

University of Minho
2017-2025

Polytechnic Institute of Porto
2025

University of Aveiro
2020

The magnitude of the daily explosion high volumes data has led to emergence Big Data paradigm. ever-increasing amount information available on Internet makes it increasingly difficult for individuals find what they need quickly and easily. Recommendation systems have appeared as a solution overcome this problem. Collaborative filtering is widely used in type systems, but dimensions sparsity are always main With idea deep learning gaining more importance, several works emerged improve...

10.3390/app10165510 article EN cc-by Applied Sciences 2020-08-10

Hospital workflow automation holds paramount importance in modern healthcare systems. By streamlining complex processes, it is possible to enhance operational efficiency and patient care. Automated workflows aligned with open standards, such as openEHR, enable accurate data capture, seamless communication, timely task execution among professionals. This leads reduced errors, improved outcomes, optimized resource utilization. study aims advance knowledge by improving a Portuguese hospital's...

10.1016/j.cmpb.2025.108777 article EN cc-by Computer Methods and Programs in Biomedicine 2025-04-01

Community pharmacies are major contributors to health care systems across the world. Several studies have been conducted evaluate community services in care. The purpose of this study was estimate social and economic benefits current potential future provided by pharmacists Portugal.The value estimated through a decision-model. Model inputs included effectiveness data, quality life (QoL) resource consumption, obtained though literature review adapted Portuguese reality an expert panel....

10.1186/s12913-017-2525-4 article EN cc-by BMC Health Services Research 2017-08-29

Abstract Nowadays, we are facing the worldwide pandemic caused by COVID-19. The complexity and momentum of monitoring patients infected with this virus calls for usage agile scalable data structure methodologies. OpenEHR is a healthcare standard that attracting lot attention in recent years due to its comprehensive robust architecture. importance an open, standardized adaptable approach clinical lies extracting value generate useful knowledge really can help professionals make assertive...

10.1038/s41598-022-15968-z article EN cc-by Scientific Reports 2022-07-22

Chronic Kidney Disease (CKD) is a condition characterized by gradual loss of kidney function over time. In national and international guidelines, CKD organized into different degrees risk stratification using commonly available markers. It usually asymptomatic in its early stages, detection important to reduce future risks. This study used the CRISP-DM (Cross Industry Standard Process for Data Mining) methodology WEKA software build system that can classify chronic disease based on accuracy,...

10.1016/j.procs.2020.10.079 article EN Procedia Computer Science 2020-01-01

Background Corneal transplantation, also known as keratoplasty, is a widely performed surgical procedure that aims to restore vision in patients with corneal damage. The success of transplantation relies on the accurate and timely management patient information, which can be enhanced using electronic health records (EHRs). However, conventional EHRs are often fragmented lack standardization, leading difficulties information access sharing, increased medical errors, decreased safety. In wake...

10.2196/48407 article EN cc-by JMIR Medical Informatics 2024-07-22

Shoulder pathologies are prevalent and reduce the quality of life. Due to shoulder joint's complexity, healthcare professionals face challenges evaluate, diagnose, treat these pathologies. On other hand, acquisition, presentation, analysis patient data in is complex hindered by absence standardization interoperability Database Management Systems. Hence, this study, we propose a web platform based on openEHR structures that incorporates user interface forms for registering physical...

10.1016/j.procs.2023.03.113 article EN Procedia Computer Science 2023-01-01

In the healthcare industry, patient's nutrition is a key factor in their treatment process. Every user has own specific nutritional needs and requirements. An appropriate policy can therefore help recovery process alleviate possible symptoms. Food recommender systems are platforms that offer personalised suggestions of recipes to users. However, there lack usage recipe recommendation sector. Multiple challenges representing domain food make it complicated implement these systems. The present...

10.1109/ceap.2019.8883496 article EN 2019-07-01

Mental illness is a concern these days, affecting people worldwide and across all kinds of ages. This article aims to predict mental discover its association with unemployment as well other possible causes behind the illness. In order accomplish this goal, Data Mining (DM) process was performed using Cross Industry Standard Process for (CRISP-DM) methodology RapidMiner Studio software. end, results obtained were considered promising since evaluation metrics, namely accuracy, sensitivity,...

10.1016/j.procs.2020.10.078 article EN Procedia Computer Science 2020-01-01

The assessment and measurement of health status in communities throughput the world is a massive information technology challenge. Data mining, plays vital role care industry since it really has potential to generate knowledge-rich environment that reduces medical errors, decreases costs by increasing efficiency, improves quality clinical decisions significantly enhances patient's outcomes life. This study falls within context nutrition evaluation its main goal apply classification...

10.1109/controlo.2018.8516413 article EN 2018-06-01

According to the World Health Organization (WHO), more than one billion people in world are obese, and this number is still increasing. When disease becomes a high risk individual's health non-invasive approach does not result weight loss, it usual resort an invasive intervention, bariatric surgery. Due all specifications, as well multidisciplinary treatment inherent procedure, need for specialized environment emerges. In context, main objective of topic focuses on development platform...

10.1016/j.procs.2022.10.149 article EN Procedia Computer Science 2022-01-01
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