4 documents found, page 1 of 1
Explaining Machine Learning: A Deeper Look into Admission Prediction
Consoli, Bernardo; Pedroso, Vinicius; Kniest, Artur; Vieira, Renata; Bordini, Rafael; Manssour, IsabelThe popularization of artificial intelligence solutions in both research and industry that has been occurring due to the rise of tools such as the GPT, Gemini and Claude large language models has revitalized research in the area. There are many possible uses within the medical field, but a key determinant of the adoption of new tools by medical professionals is trust. To augment tool trust, the tool must be mad...
Predicting Inpatient Admissions in Brazilian Hospitals
Consoli, Bernardo; Vieira, Renata; Bordini, Rafael; Manssour, IsabelPatient length-of-stay prediction is a topic of interest for hospital administrators, as it can aid in planning and the allocation of critical resources. Ideal resource allocation can result in better care and reduced costs. Artificial Intelligence solutions have been tested for this purpose using several datasets for both foreign and Brazilian hospitals, but focusing on long-term inpatient care or Intensive Ca...
Related Named Entities Classification in the Economic-Financial Context
De Los Reyes, Daniel; Barcelos, Allan; Vieira, Renata; Manssour, IsabelThe present work uses the Bidirectional Encoder Representations from Transformers(BERT) to process a sentence and its entities and indicate whether two named entities present in a sentence are related or not, constituting a binary classification problem. It was developed for the Portuguese language, considering the financial domain and exploring deep linguistic representations to identify a relation between ent...
Entity Relation Extraction from News Articles in Portuguese for Competitive Int...
De Los Reyes, Daniel; Trajano, Douglas; Manssour, Isabel; Vieira, Renata; Bordini, RafaelCompetitive intelligence (CI) is a relevant area of a corporation and can support the strategic business area by showing those responsible, helping decision making on how to position an organization in the market. This work uses the Bidirectional Transformer Encoding Representations (BERT) to process a sentence and its named entities and extract the parts of the sentences that represent or describe the semantic...