Filtered By:
Specialty: Statistics
This page shows you your search results in order of relevance. This is page number 6.
Order by Relevance | Date
Total 793 results found since Jan 2013.
Calibrating random forests for probability estimation
Probabilities can be consistently estimated using random forests. It is, however, unclear how random forests should be updated to make predictions for other centers or at different time points. In this work, we present two approaches for updating random forests for probability estimation. The first method has been proposed by Elkan and may be used for updating any machine learning approach yielding consistent probabilities, so‐called probability machines. The second approach is a new strategy specifically developed for random forests. Using the terminal nodes, which represent conditional probabilities, the random forest ...
Source: Statistics in Medicine - April 14, 2016 Category: Statistics Authors: Theresa Dankowski, Andreas Ziegler Tags: Research Article Source Type: research
The Effect and Mechanism of Exercise Training on Rats with Poststroke Depression Based on the Intestinal Flora
Comput Math Methods Med. 2021 Dec 24;2021:3567447. doi: 10.1155/2021/3567447. eCollection 2021.ABSTRACTDepression of poststroke depression (PSD) is the most common neuropsychiatric complication after stroke. Patients with PSD had higher mortality, more cognitive disorder, lower quality of life, and higher suicidal tendency. The pathogenesis of PSD mainly involves neurotransmitter inflammatory factors, HPA and BDNF. Enteral dysfunction and intestinal flora disorders caused by stroke can participate in the pathogenesis of PSD through various ways, such as immune, endocrine, and nervous system. In this experiment, we used exe...
Source: Computational and Mathematical Methods in Medicine - January 3, 2022 Category: Statistics Authors: Jiaen Yang Guangjin Zhou Zixuan Ou Ning Jia Dong Wang Source Type: research
Left Atrial Appendage Depth and Tachycardia Bradycardia Syndrome as Important Predictors of Left Atrial Appendage Thrombus in Patients with Nonvalvular Atrial Fibrillation
CONCLUSION: In NVAF patients with LAAT, evidence suggested that larger LAAD, non-PAF, and TBS present a high risk of LAAT. This is the first report demonstrating that the LAAD and TBS are associated with LAAT in patients with NVAF.PMID:35401785 | PMC:PMC8986422 | DOI:10.1155/2022/4632823
Source: Computational and Mathematical Methods in Medicine - April 11, 2022 Category: Statistics Authors: Yinge He Panpan Chen Ziqiang Zhu Junhua Sun Yujie Zhao Source Type: research
Computed Tomography Images under Artificial Intelligence Algorithms on the Treatment Evaluation of Intracerebral Hemorrhage with Minimally Invasive Aspiration
Comput Math Methods Med. 2022 Apr 22;2022:6204089. doi: 10.1155/2022/6204089. eCollection 2022.ABSTRACTThe aim of this study was to investigate the therapeutic effect of minimally invasive aspiration on intracerebral hemorrhage (ICH) and the value of artificial intelligence algorithm combined with computed tomography (CT) image evaluation. Ninety-two patients with intracerebral hemorrhage were divided into experimental group (46 cases, minimally invasive aspiration therapy) and control group (46 cases, traditional craniotomy therapy) according to different treatment methods, and CT image scanning was performed. In addition...
Source: Computational and Mathematical Methods in Medicine - May 2, 2022 Category: Statistics Authors: Junfeng Sun Xiaojun Zheng Qiang Gao Xiaofeng Wang Yu Qiao Jialong Li Source Type: research
Analysis of Clinical Effects of Comprehensive Nursing Based on Enhanced Recovery after Surgery in Patients with Embolization for Intracranial Aneurysms
CONCLUSIONS: ERAS-based comprehensive nursing can better promote patients' neurological recovery after embolization for IAs, relieve unhealthy emotions (depression, anxiety, etc.), and reduce the occurrence of adverse reactions, facilitating patient discharge.PMID:35844437 | PMC:PMC9286944 | DOI:10.1155/2022/3026680
Source: Computational and Mathematical Methods in Medicine - July 18, 2022 Category: Statistics Authors: Jing Liu Kunxian Zhang Bei Wang Qin Hu Qing Zhang Lei Wan Xianpu Wang Wenping Xiong Source Type: research
Uncovering cross-bridge properties that underlie the cardiac active complex modulus using model linearisation techniques
Math Biosci. 2022 Oct 18:108922. doi: 10.1016/j.mbs.2022.108922. Online ahead of print.ABSTRACTThe properties underlying cardiac cross-bridge kinetics can be characterised by a muscle's active complex modulus. While the complex modulus can be described by a series of linear transfer functions, the biophysical mechanisms underlying these components are represented inconsistently among existing cross-bridge models. To address this, we examined the properties commonly implemented in cross-bridge models using model linearisation techniques and assessed their contributions to the complex modulus. From this analysis, we develope...
Source: Mathematical Biosciences - October 21, 2022 Category: Statistics Authors: Julia H Musgrave June-Chiew Han Marie-Louise Ward Andrew J Taberner Denis S Loiselle Kenneth Tran Source Type: research
