Exploring Mortality and Prognostic Factors of Heart Failure with In-Hospital and Emergency Patients by Electronic Medical Records: A Machine Learning Approach.

Purpose: As HF progresses into advanced HF, patients experience a poor quality of life, distressing symptoms, intensive care use, social distress, and eventual hospital death. We aimed to investigate the relationship between morality and potential prognostic factors among in-patient and emergency patients with HF.

Patients And Methods: A case series study: Data are collected from in-hospital and emergency care patients from 2014 to 2021, including their international classification of disease at admission, and laboratory data such as blood count, liver and renal functions, lipid profile, and other biochemistry from the hospital's electrical medical records.

Differences in US Adult Dietary Patterns by Cardiovascular Health and Socioeconomic Vulnerability.

Background: Naturally occurring dietary patterns, a major contributor to health, are not well described among those with cardiovascular disease (CVD) - particularly in light of socioeconomic vulnerability. We sought to identify major dietary patterns in the US and their distribution by CVD, social risk factors, and Supplemental Nutrition Assistance Program (SNAP) participation.

Methods: This was a cross-sectional study among 32,498 noninstitutionalized adults from the National Health and Nutrition Examination Survey (2009-2020).

Comparing immunotherapy effectiveness for unresectable hepatocellular carcinoma: infiltrative versus non-infiltrative types in real-world settings.

Background: Infiltrative hepatocellular carcinoma (HCC) is often associated with an unfavorable prognosis, posing a challenge in determining the optimal therapeutic approach. Immunotherapy, employing immune checkpoint inhibitors (ICIs), has become a preferred first-line treatment for advanced HCC. However, the overall effectiveness of ICIs in patients with infiltrative HCC remains unclear.

Use of Machine Learning to Predict the Incidence of Type 2 Diabetes Among Relatively Healthy Adults: A 10-Year Longitudinal Study in Taiwan.

: The prevalence of diabetes is increasing worldwide, particularly in the Pacific Ocean island nations. Although machine learning (ML) models and data mining approaches have been applied to diabetes research, there was no study utilizing ML models to predict diabetes incidence in Taiwan. We aimed to predict the onset of diabetes in order to raise health awareness, thereby promoting any necessary lifestyle modifications and help mitigate disease burden.

Genetic investigations of autosomal recessive inherited ichthyosis impressed by fetal ultrasound: Exome sequencing and haplotype linkage analysis.

Objective: Ichthyosis are complex skin diseases, characterized by hyperkeratosis with various degrees of thickening, desquamation, and erythema. The prenatal diagnosis of ichthyosis is challenged due to the clinical and genetic heterogeneity and the late-onset of fetal features on ultrasound scan. Here, we reported two fetuses with Harlequin ichthyosis (HI), a severe subtype of autosomal recessive congenital ichthyosis (ARCI), who were diagnosed prenatally by images and genetic investigations.