A New Natural Language Processing-Inspired Methodology (Detection, Initial Characterization, and Semantic Characterization) to Investigate Temporal Shifts (Drifts) in Health Care Data: Quantitative Study.

Background: Proper analysis and interpretation of health care data can significantly improve patient outcomes by enhancing services and revealing the impacts of new technologies and treatments. Understanding the substantial impact of temporal shifts in these data is crucial. For example, COVID-19 vaccination initially lowered the mean age of at-risk patients and later changed the characteristics of those who died.

Corrigendum: Assessment of risk scores to predict mortality of COVID-19 patients admitted to the intensive care unit.

[This corrects the article DOI: 10.3389/fmed.2023.

Assessment of risk scores to predict mortality of COVID-19 patients admitted to the intensive care unit.

Objectives: To assess the ABC-SPH score in predicting COVID-19 in-hospital mortality, during intensive care unit (ICU) admission, and to compare its performance with other scores (SOFA, SAPS-3, NEWS2, 4C Mortality Score, SOARS, CURB-65, modified CHA2DS2-VASc, and a novel severity score).

Materials And Methods: Consecutive patients (≥ 18 years) with laboratory-confirmed COVID-19 admitted to ICUs of 25 hospitals, located in 17 Brazilian cities, from October 2020 to March 2022, were included. Overall performance of the scores was evaluated using the Brier score.

Multinomial logistic regression for prediction of vulnerable road users risk injuries based on spatial and temporal assessment.

Urban area's rapid growth often leads to adverse effects such as traffic congestion and increasing accident risks due to the expansion in transportation systems. In the frame of smart cities, active modes are expected to be promoted to improve living conditions. To achieve this goal, it is necessary to reduce the number of vulnerable road users (VRUs) injuries.

Lack of Impact of Race Alone on Cervical Cancer Survival in Brazil.

Objective: To analyze differences in survival between black and non-black women diagnosed with cervical cancer and treated at the National Cancer Institute in Brazil. Methods: This retrospective cohort study was conducted using medical records of patients who were treated for cervical cancer between 2006 and 2009 at the Brazilian National Cancer Institute - Rio de Janeiro - Brazil. The clinical and epidemiological characteristics of black and non-black patients were compared using the chi-square test.

Patterns of Care and Outcome of Elderly Women Diagnosed With Cervical Cancer in the Developing World.

Scarce data exist about the impact of age in cervical cancer (CC) patients in the developing world. The objective of the current study was to examine the patterns of care and outcome of elderly patients treated in a developing country. Medical records of patients treated from 2006-2009 at the Brazilian National Cancer Institute were reviewed.