Lupus Science & Medicine

Clinical characteristics and prognostic factors in adult macrophage activation syndrome: an observational study in a Chinese cohort

Objective Macrophage activation syndrome (MAS), a subtype of secondary haemophagocytic lymphohistiocytosis (HLH), is a rare ...
European Medical Journal

Machine Learning Predicts ICU Readmission After Stroke

A retrospective study of 3,348 cerebral infarction patients shows machine learning can predict ICU readmission. Logistic ...
BMJ Open

Burden of abnormal nutritional indices among women aged 15–24 years in 40 low-income and middle-income countries: a multilevel multinomial logistic regression analysis

Background Despite global efforts to improve nutrition, young women aged 15–24 years in low-income and middle-income countries (LMICs) face persistent dual burdens of malnutrition, marked by high ...
CBSSports.com

Chiefs vs. Giants props, picks, SportsLine Machine Learning Model AI predictions: Johnson over 22.5 receiving

The NFL schedule has reached Week 3 and the Sunday Night Football matchup will feature the New York Giants (0-2) hosting the Kansas City Chiefs (0-2). Veteran quarterbacks Russell Wilson and Patrick ...
Frontiers

Noninvasive prediction of EGFR 19Del and 21L858R subtypes in lung adenocarcinoma: a comparative study of logistic regression and decision tree models

1 Department of Radiology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China 2 Medical Imaging Research Center, Anhui Medical University, Hefei, China Objective: Despite the ...
Becker's Hospital Review

Mayo Clinic AI model predicts ALS

Rochester, Minn.-based Mayo Clinic researchers have developed an artificial intelligence model that can predict amyotrophic lateral sclerosis and anticipate patient survival using data from F-wave ...
BMJ

Exercise based cardiac rehabilitation for atrial fibrillation: Cochrane systematic review, meta-analysis, meta-regression and trial sequential analysis

Objective To undertake a contemporary review of the impact of exercise based cardiac rehabilitation (ExCR) for patients with atrial fibrillation (AF). Data sources CENTRAL, MEDLINE, Embase, PsycINFO, ...
Frontiers

Applying a logistic regression-clustering joint model to analyze the causes of prolonged pre-analytic turnaround time for urine culture testing in hospital wards

1 Clinical Laboratory, Dongyang People’s Hospital, Dongyang, Zhejiang, China 2 Clinical Laboratory, The Second People’s Hospital of Yuhuan City, Yuhuan, Zhejiang, China Introduction: In this study, we ...
Scientific Research Publishing

Lelisho, M.E., Wogi, A.A. and Tareke, S.A. (2022) Ordinal Logistic Regression Analysis in Determining Factors Associated with Socioeconomic Status of Household in Tepi Town ...

ABSTRACT: Food insecurity is a global issue, and households in a society can experience food insecurity at different levels that could range from being mildly food insecure to severely food insecure.
TechCrunch

Improvements in ‘reasoning’ AI models may slow down soon, analysis finds

An analysis by Epoch AI, a nonprofit AI research institute, suggests the AI industry may not be able to eke massive performance gains out of reasoning AI models for much longer. As soon as within a ...
Scientific Research Publishing

Modeling Analysis of Chronic Heart Failure in Elderly People Based on Bayesian Logistic Regression Method

In Table 3, the VIF values for each variable are < 5, which has been reduced as multicollinearity between variables. 3.3. Use the Entropy Weight Method to Weight the Data When exploring the factors ...