Medscape

New Machine Learning Model Predicts In-Hospital Mortality in Acute Liver Failure

A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.
Infectious Disease Advisor

COVID-19 Antivirals Underprescribed Among Adults Aged 65 Years and Older

Older adults experience inconsistent outpatient COVID-19 antiviral prescribing despite high risk for severe outcomes and hospitalization.
BMJ Global Health

Implementation of a decision aid to promote shared decision-making on mode of birth in low-risk pregnant women: a cross-sectional study within the QUALI-DEC hy…

Introduction Implementing shared decision-making (SDM) in maternity care remains challenging in low-income and middle-income ...
BMJ Global Health

Untreated, uncontrolled and below-target hypertension in southern Africa: a population-based prevalence and care cascade assessment in rural Lesotho

Introduction Hypertension programmes have expanded substantially in low-income and middle-income countries, yet treatment and control rates remain insufficient. Programme scale-up may lead to ...

Edesa Biotech Reports Additional Positive Results from Phase 3 Paridiprubart Study

Results in a population of 278 patients affirm statistically significant mortality reductionsBenefits observed across severity groups and in ...
IEEE

PrivESD: A Privacy-Preserving Cloud-Edge Collaborative Logistic Regression Model over Encrypted Streaming Data

Abstract: Outsourcing logistic regression classification services to the cloud is highly beneficial for streaming data. However, it raises critical privacy concerns for the input data and the training ...
Scientific Research Publishing

Tabaei, B.P. and Herman, W.H. (2002) A Multivariate Logistic Regression Equation to Screen for Diabetes. Diabetes Care, 25, 1999-2003.

ABSTRACT: This paper aims to investigate the effectiveness of logistic regression and discriminant analysis in predicting diabetes in patients using a diabetes dataset. Additionally, the paper ...
IEEE

Prediction Model for Time Series Data Based on Multivariate Standardized Regression

Abstract: This paper conducts an in-depth analysis of the impact of various factors on outcomes using time series data, focusing on trend shifts in event sequences. First, the data are preprocessed, ...
Scientific Research Publishing

Arun, G., & Yeo, J. (2020). Perception to Adaptation of Climate Change in Nepal: An Empirical Analysis Using Multivariate Probit Model. Sci, 2, 87.

ABSTRACT: A field survey was carried out to model farmers’ vulnerability to climate variability and extreme events in selected agroecological zones in Kitui County. The indicator approach was used to ...