Philstar.com on MSN

Study shows reliable model to predict licensure exam outcome

A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable model for predicting the performance of licensure examination takers. Released ...
BMJ Open

Associations of functional foods consumption with gastrointestinal and musculoskeletal conditions: a cross-sectional study among Bangladeshi adults

Objectives Functional foods have demonstrated potential in preventing gastrointestinal and musculoskeletal (osteo-related) disorders; however, evidence from cross-sectional studies in adults remains ...
Motor Trend

2026 Tesla Model S First Look: Subtle Updates Bring More Range, Slightly New Look

Even though it might seem like Tesla has a lot going on—robotaxis, literal humanoid robots, and that ever-elusive affordable model that just keeps getting pushed back—its aging core lineup has only ...
Frontiers

Development and validation of a diagnostic model for tuberculous meningitis based on laboratory data

1 School of Basic Medical Sciences, North Henan Medical University, Xinxiang, China 2 Department of Medical Laboratory, Henan Provincial Chest Hospital, Zhengzhou, China Objective: We developed and ...
jnis.bmj

Development and validation of an explainable machine learning prediction model for futile recanalization after mechanical thrombectomy in acute large vessel occlusion stroke

Background Mechanical thrombectomy (MT) is the primary treatment for acute ischemic stroke (AIS) caused by large vessel occlusion (LVO). However, the likelihood of futile recanalization (FR) at 90 ...
BMJ

Development and validation of a risk prediction model for pulmonary tuberculosis among presumptive tuberculosis cases in Ethiopia

Background Early diagnosis and treatment of tuberculosis (TB) is one of the key strategies to achieve the WHO End TB targets. This study aimed to develop and validate a simple, convenient risk score ...
IEEE

Enhancement of Logistic Regression to Detect Breast Cancer using Cross Validation

Abstract: Many women in the world are suffering from cancer. Breast cancer is among one of the cancer which is affecting women all over the globe. The machine learning algorithms are found good for ...
Frontiers

Comparison between traditional logistic regression and machine learning for predicting mortality in adult sepsis patients

Background: Sepsis is a life-threatening disease associated with a high mortality rate, emphasizing the need for the exploration of novel models to predict the prognosis of this patient population.