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…”
Get more information

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…”
Get full text

Mastering Machine Learning Algorithms: Expert Techniques to Implement Popular Machine Learning Algorithms and Fine-Tune Your Models by Bonaccorso c/o Quandoo, Giuseppe

“…This book is your guide to quickly get to grips with the most widely used machine learning algorithms…”
Get full text

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…”
Get more information

Sarcasm detection using machine learning algorithms in Twitter: A systematic review by Sarsam, Samer Muthana, Al-Samarraie, Hosam, Alzahrani, Ahmed Ibrahim, Wright, Bianca

“… The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement was used to understand the application of different machine learning algorithms for sarcasm detection in Twitter…”
Get full text

Monitoring Rubber Plantation Distribution and Biomass with Sentinel-2 Using Deep Learning and Machine Learning Algorithm (2019–2024) by Chen, Yingtan, Duanmu, Jialong, Feng, Zhongke, Qian, Jun, Liu, Zhikuan, Pei, Huiqing, Grimaldi, Pietro, Qiu, Zixuan

“… This study used Sentinel-2 multi-rule remote sensing images and a deep learning method to construct a deep learning model that could generate a distribution map of rubber plantations in Danzhou City…”
Get full text

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…”
Get full text

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…”
Get full text

Machine Learning Algorithm Applied to pH‐Impedance Monitoring Tracings Identifies Pathologic Supragastric Belching by Rogers, Benjamin D., Holloway, Michael, Sawada, Akinara, Fass, Ofer, Sifrim, Daniel, Gyawali, C. Prakash

“… We determined whether machine learning can accurately identify SGBs. Methods pH‐impedance studies from a convenience cohort…”
Get full text

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…”
Get more information

It’s a Peoples Game, Isn’t It?! A Comparison Between the Investment Returns of Business Angels and Machine Learning Algorithms by Blohm, Ivo, Antretter, Torben, Sirén, Charlotta, Grichnik, Dietmar, Wincent, Joakim

“…Investors increasingly use machine learning (ML) algorithms to support their early stage investment decisions…”
Get full text

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…”
Get more information

Characterization of volatile compounds of irradiated and fermented cherry juice by SPME-GC–MS, SPME-GC × GC–MS and HS-GC-IMS combined with machine learning algorithm by Wang, Yunfan, Wang, Xilin, Li, Rui, Kong, Yanhui, Li, Xiulian, Fan, Chengjie, Zeng, Xiangquan, Song, Danliangmin, Li, Huamin, Liu, Wenli, Gong, Hansheng, Fan, Xinguang

“…) combined with machine learning techniques. Electron beam irradiation (EBI) increased concentrations of benzyl alcohol, methyl heptanoate and methyl butanoate in C + EBI…”
Get full text

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…”
Get full text

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…”
Get full text

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…”
Get full text

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…”
Get full text

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

Get full text

Mindful machine learning: Using machine learning algorithms to predict the practice of mindfulness by Sauer, Sebastian, Buettner, Ricardo, Heidenreich, Thomas, Lemke, Jana, Berg, Christoph, Kurz, Christoph

“… (the Freiburg Mindfulness Inventory; FMI). Specifically, we employed 10 predictive algorithms to scrutinize the measurement quality of the FMI…”
Get full text

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…”
Get full text