Ultrasound of the bladder

Richenberg, Jonathan

doi:10.1016/b978-0-7020-3131-1.00029-8

Cited by 3 publications

(3 citation statements)

References 94 publications

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“…Genetic algorithm (GA) is an evolutionary algorithm that is inspired by the natural inheritance and survival of the fittest. , In large and complex search spaces, GA can quickly approach the optimal solutions without getting stuck in local optima. , Because of its string-structure individuals, it can provide linear representations for different fields and has been successfully applied to a range of optimization problems in various research fields, such as feature selection, ensemble learning, and unsupervised learning . In addition, GA has been applied to solving complex medical problems, including disease screening, disease diagnosis, prognosis, and healthcare management .…”

Section: Introductionmentioning

confidence: 99%

A Genetic Algorithm-Based Ensemble Learning Framework for Drug Combination Prediction

Zhang³

et al. 2023

J. Chem. Inf. Model.

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Combination therapy is a promising clinical treatment strategy for cancer and other complex diseases. Multiple drugs can target multiple proteins and pathways, greatly improving the therapeutic effect and slowing down drug resistance. To narrow the search space of synergistic drug combinations, many prediction models have been developed. However, drug combination datasets always have the characteristics of class imbalance. Synergistic drug combinations receive the most attention in clinical application but are in small numbers. To predict synergistic drug combinations in different cancer cell lines, in this study, we propose a genetic algorithm-based ensemble learning framework, GA-DRUG, to address the problems of class imbalance and high dimensionality of input data. The cell-line-specific gene expression profiles under drug perturbations are used to train GA-DRUG, which contains imbalanced data processing and the search of global optimal solutions. Compared to 11 state-of-the-art algorithms, GA-DRUG achieves the best performance and significantly improves the prediction performance in the minority class (Synergy). The ensemble framework can effectively correct the classification results of a single classifier. In addition, the cellular proliferation experiment performed on several previously unexplored drug combinations further confirms the predictive ability of GA-DRUG.

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Section: Introductionmentioning

confidence: 99%

A Genetic Algorithm-Based Ensemble Learning Framework for Drug Combination Prediction

Zhang³

et al. 2023

J. Chem. Inf. Model.

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“…15 Standard radiology protocol requires a prolonged >5 min study facilitated by color Doppler settings. 15,17,18 Although not technically challenging, this time commitment may make it less attractive to most emergency physicians ( Figure 3). Furthermore, ureteral jet parameters have not been demonstrated to be helpful in staging the size of renal stone or need for surgical intervention.…”

Section: Bedside Imagingmentioning

confidence: 99%

“…Dicuio et al have published the formula: volume in ml ¼ height Â depth Â transverse Â 0:5, to more accurately determine bladder volume using US measurements ( Figure 11). 18,[23][24][25] Urinary retention is present if postvoid bladder volume is greater than 150 ml. 23,24 Alternatives to bladder PoCUS are commercial bladder scanners.…”

Section: Bladder Imagingmentioning

confidence: 99%

My patient has abdominal and flank pain: Identifying renal causes

et al. 2015

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Acute flank and abdominal pain are common presenting complaints in the emergency department. With increasing access to point-of-care ultrasound (PoCUS), emergency physicians have an added tool to help identify renal problems as a cause of a patient's pain. PoCUS for hydronephrosis has a sensitivity of 72-83.3% and a varying specificity, similar to radiology-performed ultrasonography. In addition to assessment for hydronephrosis, PoCUS can help emergency physicians to exclude other serious causes of flank and abdominal pain such as the presence of an abdominal aortic aneurysm, or free fluid in the intraperitoneal space, which could represent hemorrhage. Use of PoCUS for the assessment of flank pain has resulted in more rapid diagnosis, decreased use of computed tomography, and shorter emergency department length of stay.

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Corcos¹,

Przydacz²

2017

Consultation in Neurourology

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Ultrasound of the bladder

Cited by 3 publications

References 94 publications

A Genetic Algorithm-Based Ensemble Learning Framework for Drug Combination Prediction

A Genetic Algorithm-Based Ensemble Learning Framework for Drug Combination Prediction

My patient has abdominal and flank pain: Identifying renal causes

Testing

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