AIMC Topic: Body Mass Index
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Predictive model for assessing malnutrition in elderly hospitalized cancer patients: A machine learning approach.
Geriatric nursing (New York, N.Y.)
Jun 15, 2024
BACKGROUND: Malnutrition is prevalent among elderly cancer patients. This study aims to develop a predictive model for malnutrition in hospitalized elderly cancer patients.
Precise risk-prediction model including arterial stiffness for new-onset atrial fibrillation using machine learning techniques.
Journal of clinical hypertension (Greenwich, Conn.)
Jun 8, 2024
Atrial fibrillation (AF) is the most common clinically significant cardiac arrhythmia and is an important risk factor for ischemic cerebrovascular events. This study used machine learning techniques to develop and validate a new risk prediction model...
Predicting Reduction Mammaplasty Total Resection Weight With Machine Learning.
Annals of plastic surgery
Jun 4, 2024
BACKGROUND: Machine learning (ML) is a form of artificial intelligence that has been used to create better predictive models in medicine. Using ML algorithms, we sought to create a predictive model for breast resection weight based on anthropometric ...
Application of a transparent artificial intelligence algorithm for US adults in the obese category of weight.
PloS one
May 31, 2024
OBJECTIVE AND AIMS: Identification of associations between the obese category of weight in the general US population will continue to advance our understanding of the condition and allow clinicians, providers, communities, families, and individuals m...
Predictive modelling and identification of key risk factors for stroke using machine learning.
Scientific reports
May 20, 2024
Strokes are a leading global cause of mortality, underscoring the need for early detection and prevention strategies. However, addressing hidden risk factors and achieving accurate prediction become particularly challenging in the presence of imbalan...
Machine-learning classifier models for predicting sarcopenia in the elderly based on physical factors.
Geriatrics & gerontology international
May 14, 2024
AIM: As the size of the elderly population gradually increases, musculoskeletal disorders, such as sarcopenia, are increasing. Diagnostic techniques such as X-rays, computed tomography, and magnetic resonance imaging are used to predict and diagnose ...
The relationship between heavy metals and metabolic syndrome using machine learning.
Frontiers in public health
Apr 15, 2024
BACKGROUND: Exposure to high levels of heavy metals has been widely recognized as an important risk factor for metabolic syndrome (MetS). The main purpose of this study is to assess the associations between the level of heavy metal exposure and Mets ...
Weight gained during treatment predicts 6-month body mass index in a large sample of patients with anorexia nervosa using ensemble machine learning.
The International journal of eating disorders
Apr 12, 2024
OBJECTIVE: This study used machine learning methods to analyze data on treatment outcomes from individuals with anorexia nervosa admitted to a specialized eating disorders treatment program.
Generalizability of machine learning models predicting 30-day unplanned readmission after primary total knee arthroplasty using a nationally representative database.
Medical & biological engineering & computing
Apr 1, 2024
Unplanned readmission after primary total knee arthroplasty (TKA) costs an average of US $39,000 per episode and negatively impacts patient outcomes. Although predictive machine learning (ML) models show promise for risk stratification in specific po...
The weight of BMI in impacting postoperative and oncologic outcomes in pancreaticoduodenectomy is attenuated by a robotic approach.
Journal of robotic surgery
Feb 14, 2024
This study was undertaken to observe the effect of body mass index (BMI) on perioperative outcomes and survival when comparing robotic vs 'open' pancreaticoduodenectomy. With IRB approval, we prospectively followed 505 consecutive patients who underw...
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