Prediction of fundraising outcomes for crowdfunding projects based on deep learning: a multimodel comparative study

Wang, Wei; Zheng, Hongsheng; Wu, Yenchun Jim

doi:10.1007/s00500-020-04822-x

Cited by 38 publications

(13 citation statements)

References 39 publications

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“…e evaluation of the deep learning model on the validation set can select network parameters with better generalization ability. e test set is generally used to evaluate the quality of the network, and the comparison of network capabilities is performed on this data set [20,21].…”

Section: Deep Learningmentioning

confidence: 99%

Deep Learning-Based Cervical Spine Posterior Percutaneous Endoscopic Disc Nucleus Resection for the Treatment of Cervical Spondylotic Radiculopathy

Zhang¹,

Zhu²,

Zhou³

et al. 2021

Journal of Healthcare Engineering

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In the past 10 years, the technology of percutaneous spine endoscopy has been continuously developed. The indications have expanded from simple lumbar disc herniation to various degenerative diseases of the cervical, thoracic, and lumbar spine. Traditional surgery for the treatment of cervical radiculopathy includes anterior cervical decompression surgery, anterior cervical decompression plus fusion surgery, and posterior limited fenestration surgery. This article mainly studies the treatment of cervical spondylosis caused by radiculopathy caused by the nucleus resection of the posterior cervical spine percutaneous spinal endoscopy based on deep learning. In the PPECD group, the height of the intervertebral cavity was measured before the operation and during the final follow-up, and the height change of the intervertebral cavity was evaluated. The relative angle and relative displacement of the sagittal plane of the operation segment in the PPECD group were measured, and the stability was evaluated. Using the cervical spine X-ray Kelvin degeneration evaluation criteria, before and during the final follow-up operation, the degeneration of the adjacent segments of the two groups was evaluated. A retrospective analysis of 26 cases of cervical radiculopathy that met the criteria for diagnosis, inclusion, and exclusion was reviewed. Among them, 11 cases were treated with PPECD surgery; 15 cases were treated with ACDF surgery. According to the evaluation method of Odom, the excellent rate and the good rate of the two groups were compared. According to the location of the lesion, the nerve detection or dull tip device is exposed under the armpit or shoulder of the nerve root, and the protruding nucleus pulposus tissue is explored and removed, and annulus fibrosus is performed as needed. After hemostasis was detected, the surgical instruments were removed and the surgical incision was completely sutured. Before the operation and 3 months after the operation, the final follow-up made no significant difference in the overall average height of the intervertebral cavity (F = 2.586, P > 0.05 ). The results show that posterior foramen expansion is an effective surgical method for the treatment of cervical spondylotic radiculopathy, but surgical adaptation requires strict management. In order to achieve satisfactory results, appropriate cases must be selected.

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Section: Deep Learningmentioning

confidence: 99%

Deep Learning-Based Cervical Spine Posterior Percutaneous Endoscopic Disc Nucleus Resection for the Treatment of Cervical Spondylotic Radiculopathy

Zhang¹,

Zhu²,

Zhou³

et al. 2021

Journal of Healthcare Engineering

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“…We need to adjust two parameters for the trees: -1) the tree count and 2) count of features to be used for generating the trees. Gini impurity is used to determine the eigen values for splitting the nodes and thus the tree parses the features used to segment to minimize the impurity [37]. Gini impurity is calculated by equation 5.…”

Section: Model Selectionmentioning

confidence: 99%

Predicting Success of Campaigns on Membership based Patreon Crowdfunding Platform

Mukherjee¹,

Karvekar²,

Badr³

2022

IJCDS

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Crowdfunding platforms, such as the Patreon platform, are a means of regular financial support to entrepreneurs and artists who create independent content in the form of images, videos, podcasts, comics, games, or any media that supporters enjoy. Entrepreneurs leverage their potential base of patrons by using various social media platforms. Even though this collaboration has proved to be a practical approach to raising funds, it is difficult to predict the success rates of new projects. In this paper, we consider Patreon as the membership-based platform and our empirical analysis shows that half of proposed projects turn out to be successful. In this research, we build a data analytics approach to predict the rate of success of Patreon projects based on a dataset containing details of various features and historical information about previous projects. We employed a family of supervised classifiers that includes Naïve Bayes, Logistic Regression, Random Forest, and Boosting algorithms to predict the success of a given project. Currently, the Gradient Boosting classifier has achieved an average accuracy of more than 74%. Such results could help creators to define a path to better promote their content and improve monthly pledges.

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“…In addition, the dependence of internet finance on big data and cloud computing ensues a new challenge in terms of information security. Improper operating procedures and internal control, illegal intrusion, as well as information disclosure would pose a serious threat to the internet financial service system [6] .…”

Section: Internet Features Amplify Financial Risksmentioning

confidence: 99%

Development Status, Causes of Risks, and Risk Supervision Suggestions on Internet Finance in China

2021

PBES

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As a useful supplement to China’s financial system, the development of internet finance has promoted the innovation of financial model and injected strong vitality into the financial market. Internet finance provides customers with more convenient and fast financial services, effectively alleviates financial exclusion, and reduces information asymmetry. It is of great significance to promote the marketization of interest rate and the development of inclusive finance in China. However, internet financial risk events occur frequently, posing a serious challenge. Therefore, this research analyzes the causes of internet financial risks, and provides suggestions on internet financial risk supervision, so as to promote a healthy development of the internet financial industry in China.

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Prediction of fundraising outcomes for crowdfunding projects based on deep learning: a multimodel comparative study

Cited by 38 publications

References 39 publications

Deep Learning-Based Cervical Spine Posterior Percutaneous Endoscopic Disc Nucleus Resection for the Treatment of Cervical Spondylotic Radiculopathy

Deep Learning-Based Cervical Spine Posterior Percutaneous Endoscopic Disc Nucleus Resection for the Treatment of Cervical Spondylotic Radiculopathy

Predicting Success of Campaigns on Membership based Patreon Crowdfunding Platform

Development Status, Causes of Risks, and Risk Supervision Suggestions on Internet Finance in China

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