Search Results - 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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Transformer-BLS: An efficient learning algorithm based on multi-head attention mechanism and incremental learning algorithms by Fu, Rongrong, Liang, Haifeng, Wang, Shiwei, Jia, Chengcheng, Sun, Guangbin, Gao, Tengfei, Chen, Dan, Wang, Yaodong

“… In particular, our proposed transformer-BLS network provides four different incremental learning algorithms that enable the proposed model can realize the increments of its feature nodes, enhancement…”
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Optimized Multi-Agent Formation Control Based on an Identifier-Actor-Critic Reinforcement Learning Algorithm by Wen, Guoxing, Chen, C. L. Philip, Feng, Jun, Zhou, Ning

“… In order to achieve the optimized control, the reinforcement learning algorithm of the identifier-actor-critic architecture is implemented based on fuzzy logic system (FLS) approximators…”
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Stock price prediction using DEEP learning algorithm and its comparison with machine learning algorithms by Nikou, Mahla, Mansourfar, Gholamreza, Bagherzadeh, Jamshid

“…‐learning models in a stock market. The data used in this study include the daily close price data of iShares MSCI United Kingdom exchange…”
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Can deep learning algorithms outperform benchmark machine learning algorithms in flood susceptibility modeling? by Pham, Binh Thai, Luu, Chinh, Phong, Tran Van, Trinh, Phan Trong, Shirzadi, Ataollah, Renoud, Somayeh, Asadi, Shahrokh, Le, Hiep Van, von Meding, Jason, Clague, John J.

“…•The DEBP model outperformed the ANNRBF, LR, LMTree, FTree, and ADTree machine learning algorithms…”
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A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock: Development, Implementation, and Impact on Clinical Practice by Giannini, Heather M, Ginestra, Jennifer C, Chivers, Corey, Draugelis, Michael, Hanish, Asaf, Schweickert, William D, Fuchs, Barry D, Meadows, Laurie, Lynch, Michael, Donnelly, Patrick J, Pavan, Kimberly, Fishman, Neil O, Hanson, 3rd, C William, Umscheid, Craig A

“…Develop and implement a machine learning algorithm to predict severe sepsis and septic shock and evaluate the impact on clinical practice and patient outcomes…”
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Deep learning algorithm detection of Barrett’s neoplasia with high accuracy during live endoscopic procedures: a pilot study (with video) by de Groof, Albert J., Struyvenberg, Maarten R., Fockens, Kiki N., van der Putten, Joost, van der Sommen, Fons, Boers, Tim G., Zinger, Sveta, Bisschops, Raf, de With, Peter H., Pouw, Roos E., Curvers, Wouter L., Schoon, Erik J., Bergman, Jacques J.G. H.M.

“…We assessed the preliminary diagnostic accuracy of a recently developed computer-aided detection (CAD) system for detection of Barrett’s neoplasia during live…”
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MEC-A Near-Optimal Online Reinforcement Learning Algorithm for Continuous Deterministic Systems by Zhao, Dongbin, Zhu, Yuanheng

“…In this paper, the first probably approximately correct (PAC) algorithm for continuous deterministic systems without relying on any system dynamics is proposed…”
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Rapid Data‐Efficient Optimization of Perovskite Nanocrystal Syntheses through Machine Learning Algorithm Fusion by Lampe, Carola, Kouroudis, Ioannis, Harth, Milan, Martin, Stefan, Gagliardi, Alessio, Urban, Alexander S.

“… Recently, machine learning has emerged as a powerful tool to help optimize syntheses; however, most approaches require a substantial amount of input data, limiting their pertinence. Here, three well‐known machine…”
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Popular deep learning algorithms for disease prediction: a review by Yu, Zengchen, Wang, Ke, Wan, Zhibo, Xie, Shuxuan, Lv, Zhihan

“… This paper introduces several deep learning algorithms: Artificial Neural Network (NN), FM-Deep Learning, Convolutional NN and Recurrent NN, and expounds their theory, development history and applications in disease prediction…”
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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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From Machine to Machine: An OCT-Trained Deep Learning Algorithm for Objective Quantification of Glaucomatous Damage in Fundus Photographs by Medeiros, Felipe A, Jammal, Alessandro A, Thompson, Atalie C

“…Previous approaches using deep learning (DL) algorithms to classify glaucomatous damage on fundus photographs have been limited by the requirement for human labeling of a reference training set…”
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Coronary CT Angiography-derived Fractional Flow Reserve: Machine Learning Algorithm versus Computational Fluid Dynamics Modeling by Tesche, Christian, De Cecco, Carlo N, Baumann, Stefan, Renker, Matthias, McLaurin, Tindal W, Duguay, Taylor M, Bayer, 2nd, Richard R, Steinberg, Daniel H, Grant, Katharine L, Canstein, Christian, Schwemmer, Chris, Schoebinger, Max, Itu, Lucian M, Rapaka, Saikiran, Sharma, Puneet, Schoepf, U Joseph

“… ) and FFR derived from coronary CT angiography based on machine learning algorithm (hereafter, FFR )-against coronary CT angiography and quantitative coronary angiography…”
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Promising Artificial Intelligence-Machine Learning-Deep Learning Algorithms in Ophthalmology by Balyen, Lokman, Peto, Tunde

“…), and deep learning (DL) technologies in recent years. Artificial intelligence is a multidimensional technology with various components such as advanced algorithms, ML and DL…”
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Early diagnosis of Parkinson’s disease using machine learning algorithms by Karapinar Senturk, Zehra

“… In this paper, machine learning based diagnosis…”
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Weather forecasting and prediction using hybrid C5.0 machine learning algorithm by Murugan Bhagavathi, Sudhan, Thavasimuthu, Anitha, Murugesan, Aruna, George Rajendran, Charlyn Pushpa Latha, A, Vijay, Raja, Laxmi, Thavasimuthu, Rajendran

“…Summary In this research, a weather forecasting model based on machine learning is proposed for improving the accuracy and efficiency of forecasting…”
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SOLAR FLARE PREDICTION USING SDO /HMI VECTOR MAGNETIC FIELD DATA WITH A MACHINE-LEARNING ALGORITHM by Bobra, M. G., Couvidat, S.

“…We attempt to forecast M- and X-class solar flares using a machine-learning algorithm, called support vector machine (SVM…”
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A deep learning algorithm for detecting acute myocardial infarction by Liu, Wen-Cheng, Lin, Chin-Sheng, Tsai, Chien-Sung, Tsao, Tien-Ping, Cheng, Cheng-Chung, Liou, Jun-Ting, Lin, Wei-Shiang, Cheng, Shu-Meng, Lou, Yu-Sheng, Lee, Chia-Cheng, Lin, Chin

“… Since a 12-lead electrocardiogram (ECG) is crucial for the detection of AMI, a systematic algorithm to strengthen ECG interpretation may have important implications for improving diagnosis…”
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Printed, Wireless, Soft Bioelectronics and Deep Learning Algorithm for Smart Human-Machine Interfaces by Kwon, Young-Tae, Kim, Hojoong, Mahmood, Musa, Kim, Yun-Soung, Demolder, Carl, Yeo, Woon-Hong

“…Recent advances in flexible materials and wearable electronics offer a noninvasive, high-fidelity recording of biopotentials for portable healthcare, disease…”
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