Bassim R El-Sabawi,Mohammed A Al-Garadi,Bryan D Steitz et al. Bassim R El-Sabawi et al.

Background: The Kansas City Cardiomyopathy Questionnaire-12 (KCCQ-12), a patient-reported outcome measure for adults with heart failure, is associated with hospitalizations and mortality in clinical trials. Curated data s...

James L Cook,Aaron Stoker,Kylee Rucinski et al. James L Cook et al.

Background: Osteochondral allograft transplantation (OCAT) is safe and effective for treatment of large articular defects in the knee. Yet, there are no quantitative methods for predicting OCAT outcomes. This study was de...

Marzia Miglionico,Francesca Maiorca,Annamaria Sabetta et al. Marzia Miglionico et al.

Further well-powered studies are warranted to test whether platelet phenotyping can improve the prediction of thromboembolic events in DOACs-treated AF patients. Thieme. All rights reserved.

T Touil,F Huot,S Claveau et al. T Touil et al.

Unlike rpH, SARA prediction accuracies evaluated using nested LOFO (a.m.: 59%, p.m.: 69%, a.m./p.m.: 64%), and nested LCO (a.m.: 67%, p.m.: 66%, a.m./p.m.: 64%) were closer to the nested 10-fold C-V.

D Martini,M De Marchi,A Goi et al. D Martini et al.

This study evaluated the effectiveness of ED-XRF for the prediction of Na, Mg, P, S, K, Ca, and Zn in BC measured through inductively coupled plasma optical-emission spectrometry as reference method....Keywords: correlation; dairy cattle; health; prediction models; screening. The Authors. Published by Elsevier Inc. on behalf of the American Dairy Science Association®.

Jinjin Liu,Qiuping Gu,Zhonghua Li Jinjin Liu

Objective: To identify the risk factors for reflux esophagitis (RE) after proximal gastrectomy (PG) in patients with proximal gastric cancer and the construct of a nomogram prediction model.

Hans Christian Haverkamp,Peter Luu,Yannick Molgat-Seon et al. Hans Christian Haverkamp et al.

Purpose: We determined the resting spirometric and exercise ventilatory variables that are predictive of exercise expiratory flow limitation (EFL) in a group of adults in whom airway function varied from mildly obstructed...

Juncheng Lyu,Chao Wang,Zhe Gao et al. Juncheng Lyu et al.

However, there is little literature reported the prediction models based on multiple machine learning methods of Chinese people and previous models always more using complex variables and not concise enough, which limited the application and extrapolation....The aim was to explore whether ML approaches can improve the prediction of suicide attempt and establish more concise model. Methods: The dataset came from a case-control extensive survey in China....And RF, MLR, XGBoost, AdaBoost and LightGBM methods were recruited to establish the model and evaluation indices were used to optimize the optimal prediction model. Software package of R 4.2.1 were applied to operate ML methods....Results: The AUC of three ML methods were all larger than 0.75, which indicate the prediction efficiencies of three models are well. LightGBM has the highest AUC (0.9199) in training dataset, RF has the highest AUC (0.8136) in test dataset....Generally, RF and LightGBM prediction model performed best in current study. When choosing an algorithm, different research aim or dataset, might lead to choice the more prioritized algorithm.

Huimin Zhao,Wanying Li,Qinrong Xu et al. Huimin Zhao et al.

Background: The relationship between the imbalance of TH1-TH2 cytokine levels in the early stages of acute ischemic stroke (AIS) and the subsequent development of post-stroke depression (PSD) remains unclear. Early detect...

Xi Tao,Juan He,Yi Zhang et al. Xi Tao et al.

These may offer valuable insights for early detection of vascular changes and ultra-early prediction of VCI.