A5056287350- Renal Transplantation Outcomes and Treatments
- Organ Donation and Transplantation
- COVID-19 and healthcare impacts
- Public Health in Brazil
- Artificial Intelligence in Healthcare
- COVID-19 Impact on Reproduction
- Renal and Vascular Pathologies
- Diabetes Treatment and Management
- Radiomics and Machine Learning in Medical Imaging
- Pregnancy and Medication Impact
- Global Maternal and Child Health
- Menopause: Health Impacts and Treatments
- Viral gastroenteritis research and epidemiology
- Machine Learning in Healthcare
- Animal Disease Management and Epidemiology
- Dialysis and Renal Disease Management
- Organ Transplantation Techniques and Outcomes
- Topic Modeling
- Reliability and Agreement in Measurement
- Biomedical Text Mining and Ontologies
- Estrogen and related hormone effects
- Hip and Femur Fractures
- Vector-Borne Animal Diseases
- Delphi Technique in Research
- Prostate Cancer Diagnosis and Treatment
Universidade Estadual Paulista (Unesp)
2022-2025
To create a machine-learning predictive model combining prostate imaging-reporting and data system (PI-RADS) score, PSA density, clinical variables to predict clinically significant cancer (csPCa). We evaluated cohort of patients who underwent biopsy for suspected (PCa) in New Zealand, Australia, Switzerland. collected on age, body mass index (BMI), level, volume, density (PSAD), PI-RADS scores, previous biopsy, corresponding histology results. The dataset was divided into derivation...
Brazil has the world's largest public organ transplant program, which was severely affected by COVID-19 pandemic. The primary aim of study to evaluate differences in solid transplants and rejection episodes during pandemic compared five years before country.A seven-year database built downloading data from DATASUS server. period defined as March 2020 December 2021. pre-pandemic January 2015 2020.During pandemic, number decreased 19.3% 22.6% 2021 2019. We found a decrease for each evaluated...
Studies that use medical records are often impeded due to the information presented in narrative fields. However, recent studies have used artificial intelligence extract and process secondary health data from electronic records. The aim of this study was develop a neural network uses unstructured capture regarding symptoms, diagnoses, medications, conditions, exams, treatment. Data 30,000 patients hospitalized Clinical Hospital Botucatu Medical School (HCFMB), São Paulo, Brazil, were...
Key Points A large comprehensive analysis of patients undergoing KRT within Brazil's Public Health System from 2015 to 2023. We reported an increase in the age at which dialysis began and a decline adoption peritoneal over years. showed better hemodialysis adequacy as measured by single-pool Kt/V. Background Brazil has largest public health system providing universal coverage for chronic dialysis. The objective was describe number, sociodemographic, clinical characteristics Brazil. Methods...
Thrombotic Microangiopathy (TMA) is a syndrome characterized by the presence of anemia, thrombocytopenia and organ damage has multiple etiologies. The primary aim to develop an algorithm classify TMA (TMA-INSIGHT score).This was single-center retrospective cohort study including hospitalized patients with at single center. We included all consecutive diagnosed between 2012 2021. defined based on anemia (hemoglobin level < 10 g/dL) (platelet count 150,000/µL), signs hemolysis, damage....
ABSTRACT Background Brazil has a large public transplant program, but it remains unclear if the kidney waitlist criteria effectively allocate organs. This study aimed to investigate whether gender, ethnicity, clinical characteristics, and Brazilian regions affect chance of deceased donor (DDKT). Methods We conducted retrospective cohort using National Transplant System/Brazil database, which included all patients on from January 2012 December 2022, followed until May 2023. The primary...
is an extremely harmful blood-feeding nematode affecting small ruminants, leading to anemia, weight loss, and, in severe cases, animal death. Traditional methods of monitoring anemia sheep, such as regular physical examinations by veterinarians and laboratory tests, can be expensive time-consuming. In this work, we propose system that uses a web-based app. The methodology for the SheepEye app based on deep learning algorithms, including U-net model segmentation VGG19 classification. All well...
Introduction Several countries established health technology assessment (HTA) processes to support decision-making. Considering the high volume of submissions processed by HTA agencies, approaches determine factors associated with approval would be beneficial. This study aimed predict final recommendation National Committee for Health Technology Incorporation (Conitec) using a natural language processing (NLP) algorithm text extraction. Methods Conitec’s 2012 2022 reports (n=389) were split...
Background: There are few predictive studies about early post-transplant outcomes taking account for baseline and variables. The objective was to create a model 30 days graft rejection using machine learning techniques. Methods: Retrospective study with 1255 patients transplanted from living deceased donors at tertiary health service in Brazil. Recipient, donor, transplantation, postoperative period data were collected physical electronic records. We split the into derivation (training)...
Background: Brazil is the world's most significant public transplant program. The primary aim was to evaluate changes in solid organ transplants and rejections episodes during COVID-19 compared 5 years before pandemic Brazil.Methods: We used data provided by DATASUS. A 7-year database built downloading from DATASUS server. period defined as March 2020 December 2021. pre-pandemic January 2015 2020.Findings: During pandemic, we had a reduction transplantation of 19.3% 22.6% 2021 2019. showed...