An artificial intelligence approach to early predict non-ST-elevation myocardial infarction patients with chest pain.

Background And Aims: Hospital admission rate for the patients with chest pain has already been increased worldwide but no existing risk score has been designed to stratify non-ST-elevation myocardial infarction (NSTEMI) from non-cardiogenic chest pain. Clinical diagnosis of chest pain in the emergency department is always highly subjective and variable. We, therefore, aimed to develop an artificial intelligence approach to predict stable NSTEMI that would give valuable insight to reduce misdiagnosis in the real clinical setting.

Prediction of fatty liver disease using machine learning algorithms.

Background And Objective: Fatty liver disease (FLD) is a common clinical complication; it is associated with high morbidity and mortality. However, an early prediction of FLD patients provides an opportunity to make an appropriate strategy for prevention, early diagnosis and treatment. We aimed to develop a machine learning model to predict FLD that could assist physicians in classifying high-risk patients and make a novel diagnosis, prevent and manage FLD.

Nationwide epidemiology and prognosis of dialysis-requiring acute kidney injury (NEP-AKI-D) study: Design and methods.

Aim: Acute kidney injury (AKI) carries an increasing incidence rate worldwide and increases the risk of developing end-stage renal disease (ESRD) as well as the medical expenses during the post-AKI course. The Taiwan Consortium for Acute Kidney Injury and Renal Diseases (CAKs) has thus launched a nationwide epidemiology and prognosis of dialysis-requiring acute kidney injury (NEP-AKI-D) study, which prospectively enrols critically ill patients with AKI. Through thoroughly evaluating the risk and prognostic factors of AKI, we hope to lower the incidence of AKI and ESRD from the perspective of AKI-ESRD interaction.

A novel tool for visualizing chronic kidney disease associated polymorbidity: a 13-year cohort study in Taiwan.

Objective: The aim of this study is to analyze and visualize the polymorbidity associated with chronic kidney disease (CKD). The study shows diseases associated with CKD before and after CKD diagnosis in a time-evolutionary type visualization.

Materials And Methods: Our sample data came from a population of one million individuals randomly selected from the Taiwan National Health Insurance Database, 1998 to 2011.

Women on hemodialysis have lower self-reported health-related quality of life scores but better survival than men.

Background: Hemodialysis patients suffer from poor quality of life and survival. A retrospective cohort study was performed to examine the sex differences in self-reported quality of life and mortality in a Taiwanese hemodialysis cohort.

Methods: A total of 816 stable hemodialysis patients were included.

Are both psychological and physical dimensions in health-related quality of life associated with mortality in hemodialysis patients: a 7-year Taiwan cohort study.

Background: Psychological depression and physical disability are closely correlated in hemodialysis patients. A retrospective cohort study was conducted to examine the independent association of physical and psychological functioning with mortality in a hemodialysis cohort in Taiwan.

Methods: A total of 888 stable hemodialysis patients were included.

Topical antifungal treatment cures exit-site fungal infection.

Exit-site fungal infection, although rarely reported, may be a critical complication in patients on peritoneal dialysis. There is no optimal treatment of exit-site fungal infection. We report four cases of exit-site infection with Candida parapsilosis.