AI Medical Compendium Topic:
Logistic Models

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A review of machine learning in obesity.

Obesity reviews : an official journal of the International Association for the Study of Obesity
Rich sources of obesity-related data arising from sensors, smartphone apps, electronic medical health records and insurance data can bring new insights for understanding, preventing and treating obesity. For such large datasets, machine learning prov...

Prediction models to identify individuals at risk of metabolic syndrome who are unlikely to participate in a health intervention program.

International journal of medical informatics
OBJECTIVES: Since the launch of a nationwide general health check-up and instruction program in Japan in 2008, interest in strategies to improve implementation of the program based on predictive analytics has grown. We investigated the performance of...

Risk Modeling to Optimize Patient Selection for Management of the Descending Thoracic Aortic Aneurysm.

The Annals of thoracic surgery
BACKGROUND: A single-institutional study comparing early and long-term outcomes of thoracic endovascular aortic repair (TEVAR) and open surgical repair (OSR) was performed to determine the appropriate treatment option for descending thoracic aortic a...

Apolipoprotein A-I: A favorable prognostic marker in infective endocarditis.

Journal of clinical lipidology
BACKGROUND: Decreased apolipoprotein A-I (apoA-I) and high-density lipoprotein cholesterol (HDL-C) are common in inflammation and sepsis. No study with a large sample size has been performed to investigate the prognostic value of apoA-I or HDL-C in i...

Bayesian averaging over Decision Tree models for trauma severity scoring.

Artificial intelligence in medicine
Health care practitioners analyse possible risks of misleading decisions and need to estimate and quantify uncertainty in predictions. We have examined the "gold" standard of screening a patient's conditions for predicting survival probability, based...

Prediction of organ-confined disease after robot-assisted radical prostatectomy in patients with clinically locally-advanced prostate cancer.

Asian journal of surgery
BACKGROUND: Little is known about the preoperative predictive factors that could identify subsets of favorable patients who can be possibly cured with robot-assisted radical prostatectomy (RARP) alone in locally advanced prostate cancer (LAPCa). Our ...

Sparsifying machine learning models identify stable subsets of predictive features for behavioral detection of autism.

Molecular autism
BACKGROUND: Autism spectrum disorder (ASD) diagnosis can be delayed due in part to the time required for administration of standard exams, such as the Autism Diagnostic Observation Schedule (ADOS). Shorter and potentially mobilized approaches would h...