19 documents found, page 1 of 2
Standardizing corneal transplantation records using openEHR: case study
Ferreira, Diana; Neto, Cristiana; Hak, Francini; Abelha, António; Santos, Manuel; Machado, José ManuelBackground: 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 corneal transplantation relies on the accurate and timely management of patient information, which can be enhanced using electronic health records (EHRs). However, conventional EHRs are often fragmented and lack standardization, lea...
Recommendation of Medical Exams to Support Clinical Diagnosis Based on Patient’...
Neto, Cristiana; Ferreira, Diana; Cunha, Hugo; Pires, Maria; Marques, Susana; Sousa, Regina; Machado, José ManuelNowadays, it is essential that the error in the decisions made by health professionals is as small as possible. This applies to any medical area, including the recommendation of medical exams based on certain symptoms for the diagnosis of diseases. This study aims to explore the use of different Machine Learning techniques to increase the confidence of the medical exams prescribed by healthcare professionals. A...
Medical recommendation system based on daily clinical reports: A proposed NLP a...
Sousa, Regina; Oliveira, Daniela Sofia Rijo; Durães, Dalila; Neto, Cristiana; Machado, José ManuelThe operational management of an emergency department (ED) requires more attention from hospital administration since it can have a global impact on the institution’s management, increasing the probability of adverse events and worsening hospital expenses. Effective management of an ED potentially results in fewer hospitalisations after an ED admission. The purpose of the present study is to perform a multi-cla...
Predicting the survival of primary biliary cholangitis patients
Ferreira, Diana; Neto, Cristiana; Lopes, José; Duarte, Júlio Miguel Marques; Abelha, António; Machado, José ManuelPrimary Biliary Cholangitis, which is thought to be caused by a combination of genetic and environmental factors, is a slow-growing chronic autoimmune disease in which the human body’s immune system attacks healthy cells and tissues and gradually destroys the bile ducts in the liver. A reliable diagnosis of this clinical condition, followed by appropriate intervention measures, can slow the damage to the liver ...
Deep learning for activity recognition using audio and video
Reinolds, Francisco; Neto, Cristiana; Machado, José ManuelNeural networks have established themselves as powerhouses in what concerns several types of detection, ranging from human activities to their emotions. Several types of analysis exist, and the most popular and successful is video. However, there are other kinds of analysis, which, despite not being used as often, are still promising. In this article, a comparison between audio and video analysis is drawn in an...
Prediction models for coronary heart disease
Neto, Cristiana; Ferreira, Diana; Ramos, José; Cruz, Sandro; Oliveira, Joaquim M.; Abelha, António; Machado, José ManuelIn the current days, it is known that a great amount of effort is being applied to improving healthcare with the use of Artificial Intelligence technologies in order to assist healthcare professionals in the decision-making process. One of the most important field in healthcare diagnoses is the identification of Coronary Heart Disease since it has a high mortality rate worldwide. This disease occurs when the he...
Data mining for cardiovascular disease prediction
Martins, Barbara; Ferreira, Diana; Neto, Cristiana; Abelha, António; Machado, José ManuelCardiovascular diseases (CVDs) aredisorders of the heart and blood vessels and are a major cause of disability and premature death worldwide. Individuals at higher risk of developing CVD must be noticed at an early stage to prevent premature deaths. Advances in the field of computational intelligence, together with the vast amount of data produced daily in clinical settings, have made it possible to create reco...
Different scenarios for the prediction of hospital readmission of diabetic pati...
Neto, Cristiana; Senra, Fabio; Leite, Jaime; Rei, Nuno; Rodrigues, Rui; Ferreira, Diana; Machado, José ManuelHospitals generate large amounts of data on a daily basis, but most of the time that data is just an overwhelming amount of information which never transitions to knowledge. Through the application of Data Mining techniques it is possible to find hidden relations or patterns among the data and convert those into knowledge that can further be used to aid in the decision-making of hospital professionals. This stu...
New measures to support learning and inclusion: perception of occupational ther...
Reis, Helena; Ferreira, Claida; Neto, Cristiana; Pereira, Inês; Rosado, MargaridaWith the recent implementation of the Law Decree No. 54/2018 on inclusive education, there is no scientific basis on the perception of health professionals involved in multidisciplinary teams integrated in schools. Therefore, it became necessary to understand the perception of occupational therapists integrated in Resource Centres for Inclusion (RCI), regarding the implementation of new measures to support lear...
Prediction of length of stay for stroke patients using artificial neural networks
Neto, Cristiana; Brito, Maria; Peixoto, Hugo; Lopes, Vítor; Abelha, António; Machado, José ManuelStrokes are neurological events that affect a certain area of the brain. Since brain controls fundamental body activities, brain cell deterioration and dead can lead to serious disabilities and poor life quality. This makes strokes the leading cause of disabilities and mortality worldwide. Patients that suffer strokes are hospitalized in order to be submitted to surgery and receive recovery therapies. Thus, it’...