Search Results - Machine Learning Algorithm

Cognitive Machine-Learning Algorithm for Cardiac Imaging: A Pilot Study for Differentiating Constrictive Pericarditis From Restrictive Cardiomyopathy by Sengupta, Partho P, Huang, Yen-Min, Bansal, Manish, Ashrafi, Ali, Fisher, Matt, Shameer, Khader, Gall, Walt, Dudley, Joel T

“… Clinical and echocardiographic data of 50 patients with constrictive pericarditis and 44 with restrictive cardiomyopathy were used for developing an associative memory classifier-based machine-learning algorithm…”
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Classification and prediction of protein–protein interaction interface using machine learning algorithm by Das, Subhrangshu, Chakrabarti, Saikat

“…Structural insight of the protein–protein interaction (PPI) interface can provide knowledge about the kinetics, thermodynamics and molecular functions of the…”
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A Novel Strategy for Waste Prediction Using Machine Learning Algorithm with IoT Based Intelligent Waste Management System by Uganya, G., Rajalakshmi, D., Teekaraman, Yuvaraja, Kuppusamy, Ramya, Radhakrishnan, Arun

“…Internet of Things (IoT) has now become an embryonic technology to elevate the whole sphere into canny cities. Hasty enlargement of smart cities and industries…”
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Machine Learning Algorithm Predicts Cardiac Resynchronization Therapy Outcomes: Lessons From the COMPANION Trial by Kalscheur, Matthew M, Kipp, Ryan T, Tattersall, Matthew C, Mei, Chaoqun, Buhr, Kevin A, DeMets, David L, Field, Michael E, Eckhardt, Lee L, Page, C David

“… However, individual outcomes vary significantly. This study sought to use a machine learning algorithm to develop a model to predict outcomes after CRT…”
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Nowcasting GDP using machine-learning algorithms: A real-time assessment by Richardson, Adam, van Florenstein Mulder, Thomas, Vehbi, Tuğrul

“…Can machine-learning algorithms help central banks understand the current state of the economy…”
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How the machine ‘thinks’: Understanding opacity in machine learning algorithms by Burrell, Jenna

“… These mechanisms of classification all frequently rely on computational algorithms, and in many cases on machine learning algorithms to do this…”
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Machine learning algorithm for decoding multiple subthalamic spike trains for speech brain-machine interfaces by Tankus, Ariel, Solomon, Lior, Aharony, Yotam, Faust-Socher, Achinoam, Strauss, Ido

“…, perceived or imagined the five monophthongal vowel sounds. Our decoder is based on machine learning algorithms that dynamically learn specific features of the speech-related firing patterns…”
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Product pricing solutions using hybrid machine learning algorithm: Product pricing solutions using hybrid machine learning algorithm by Namburu, Anupama, Selvaraj, Prabha, Varsha, M.

“…E-commerce platforms have been around for over two decades now, and their popularity among buyers and sellers alike has been increasing. With the COVID-19…”
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Application of machine learning algorithms in quality assurance of fermentation process of black tea-- based on electrical properties by Zhu, Hongkai, Liu, Fei, Ye, Yang, Chen, Lin, Liu, Jingyuan, Gui, Anhui, Zhang, Jianqiang, Dong, Chunwang

“…Fermentation process directly determines the product quality of black tea. This work aimed to develop a rapid method for detecting the degree of fermentation…”
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Detecting anomalies in financial statements using machine learning algorithm: The case of Vietnamese listed firms by Lokanan, Mark, Tran, Vincent, Vuong, Nam Hoai

“…PurposeThe purpose of this paper is to evaluate the possibility of rating the credit worthiness of a firm’s quarterly financial report using a dynamic anomaly…”
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Mapping Vegetation Changes in Mongolian Grasslands (1990–2024) Using Landsat Data and Advanced Machine Learning Algorithm by Nyamtseren, Mandakh, Pham, Tien Dat, Vu, Thuy Thi Phuong, Navaandorj, Itgelt, Shoyama, Kikuko

“… (extreme gradient boosting) machine learning algorithm, we achieved high classification accuracy, with overall accuracies exceeding 94…”
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A Machine Learning Algorithm to Automate Vehicle Classification and License Plate Detection by Srividhya, S. R., Kavitha, C., Lai, Wen-Cheng, Mani, Vinodhini, Khalaf, Osamah Ibrahim

“…In the field of intelligent transportation systems (ITS), video surveillance is a hot research topic; this surveillance is used in a variety of applications,…”
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Clinical performance of a machine-learning algorithm to predict intra-operative hypotension with noninvasive arterial pressure waveforms: A cohort study by Wijnberge, Marije, van der Ster, Björn J P, Geerts, Bart F, de Beer, Friso, Beurskens, Charlotte, Emal, Dina, Hollmann, Markus W, Vlaar, Alexander P J, Veelo, Denise P

“…Intra-operative hypotension is associated with adverse postoperative outcomes. A machine-learning-derived algorithm developed to predict hypotension based on arterial blood pressure (ABP…”
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Reply to: ‘Potential sources of dataset bias complicate investigation of underdiagnosis by machine learning algorithms’ and ‘Confounding factors need to be accounted for in assessing bias by machine learning algorithms’ by Seyyed-Kalantari, Laleh, Zhang, Haoran, McDermott, Matthew B. A., Chen, Irene Y., Ghassemi, Marzyeh

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Machine learning algorithm for precise prediction of 2′-O-methylation (Nm) sites from experimental RiboMethSeq datasets by Pichot, Florian, Marchand, Virginie, Helm, Mark, Motorin, Yuri

“…•Improved mapping of 2′-O-methylated (Nm) and pseudouridine (ψ) residues by RiboMethSeq.•Random Forest (RF) model including scores for neighboring positions…”
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Using Machine Learning Algorithms to Predict People’s Intention to Use Mobile Learning Platforms During the COVID-19 Pandemic: Machine Learning Approach by Akour, Iman, Alshurideh, Muhammad, Al Kurdi, Barween, Al Ali, Amel, Salloum, Said

“…Mobile learning has become an essential instruction platform in many schools, colleges, universities, and various other educational institutions across the globe, as a result of the COVID-19 pandemic crisis…”
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Sinkhole susceptibility mapping: A comparison between Bayes‐based machine learning algorithms by Taheri, Kamal, Shahabi, Himan, Chapi, Kamran, Shirzadi, Ataollah, Gutiérrez, Francisco, Khosravi, Khabat

“…Land degradation has been recognized as one of the most adverse environmental impacts during the last century. The occurrence of sinkholes is increasing…”
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Do we need different machine learning algorithms for QSAR modeling? A comprehensive assessment of 16 machine learning algorithms on 14 QSAR data sets by Wu, Zhenxing, Zhu, Minfeng, Kang, Yu, Leung, Elaine Lai-Han, Lei, Tailong, Shen, Chao, Jiang, Dejun, Wang, Zhe, Cao, Dongsheng, Hou, Tingjun

“…Abstract Although a wide variety of machine learning (ML) algorithms have been utilized to learn quantitative structure…”
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Naïve Bayes is an interpretable and predictive machine learning algorithm in predicting osteoporotic hip fracture in-hospital mortality compared to other machine learning algorithms by Wang, Jo-Wai Douglas

“… Moreover, attempts to explain machine learning [ML]-based predictions are lacking. Seven ML prognostication models were developed to predict in-hospital mortality following minimal trauma HF in those aged…”
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A comparative study of different machine learning algorithms in predicting EPB shield behaviour: a case study at the Xi’an metro, China by Bai, Xue-Dong, Cheng, Wen-Chieh, Li, Ge

“… In this study, a framework to develop machine learning (ML)-based regression models for predicting the behaviour of an earth pressure balance (EPB…”
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