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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Machine learning algorithm validation with a limited sample size by Vabalas, Andrius, Gowen, Emma, Poliakoff, Ellen, Casson, Alexander J.

“…Advances in neuroimaging, genomic, motion tracking, eye-tracking and many other technology-based data collection methods have led to a torrent of high…”
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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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Improved machine learning algorithm for predicting ground state properties by Lewis, Laura, Huang, Hsin-Yuan, Tran, Viet T., Lehner, Sebastian, Kueng, Richard, Preskill, John

“…Finding the ground state of a quantum many-body system is a fundamental problem in quantum physics. In this work, we give a classical machine learning (ML)…”
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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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Prediction of Type 2 Diabetes Based on Machine Learning Algorithm by Deberneh, Henock M., Kim, Intaek

“…Prediction of type 2 diabetes (T2D) occurrence allows a person at risk to take actions that can prevent onset or delay the progression of the disease. In this…”
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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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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.

“…With the demand for renewable energy and efficient devices rapidly increasing, a need arises to find and optimize novel (nano)materials. With sheer limitless…”
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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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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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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. The aim…”
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Machine-learning Algorithm to Predict Hypotension Based on High-fidelity Arterial Pressure Waveform Analysis by Hatib, Feras, Jian, Zhongping, Buddi, Sai, Lee, Christine, Settels, Jos, Sibert, Karen, Rinehart, Joseph, Cannesson, Maxime

“…WHAT THIS ARTICLE TELLS US THAT IS NEW: BACKGROUND:: With appropriate algorithms, computers can learn to detect patterns and associations in large data sets…”
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Prediction & optimization of alkali-activated concrete based on the random forest machine learning algorithm by Sun, Yubo, Cheng, Hao, Zhang, Shizhe, Mohan, Manu K., Ye, Guang, De Schutter, Geert

“…•193 strength and 145 fresh properties data of AAC has been collected.•5 individual random forest models have been established with acceptable accuracy.•An…”
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A comparative performance of machine learning algorithm to predict electric vehicles energy consumption: A path towards sustainability by Ullah, Irfan, Liu, Kai, Yamamoto, Toshiyuki, Al Mamlook, Rabia Emhamed, Jamal, Arshad

“…The rapid growth of transportation sector and related emissions are attracting the attention of policymakers to ensure environmental sustainability. Therefore,…”
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A machine learning algorithm to analyse the effects of vaccination on COVID-19 mortality by Magazzino, Cosimo, Mele, Marco, Coccia, Mario

“…The coronavirus disease 2019 (COVID-19), with new variants, continues to be a constant pandemic threat that is generating socio-economic and health issues in…”
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UAV-based multi-sensor data fusion and machine learning algorithm for yield prediction in wheat by Fei, Shuaipeng, Hassan, Muhammad Adeel, Xiao, Yonggui, Su, Xin, Chen, Zhen, Cheng, Qian, Duan, Fuyi, Chen, Riqiang, Ma, Yuntao

“…Early prediction of grain yield helps scientists to make better breeding decisions for wheat. Use of machine learning (ML) methods for fusion of unmanned…”
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A Liver Stiffness-Based Etiology-Independent Machine Learning Algorithm to Predict Hepatocellular Carcinoma by Lin, Huapeng, Li, Guanlin, Delamarre, Adèle, Ahn, Sang Hoon, Zhang, Xinrong, Kim, Beom Kyung, Liang, Lilian Yan, Lee, Hye Won, Wong, Grace Lai-Hung, Yuen, Pong-Chi, Chan, Henry Lik-Yuen, Chan, Stephen Lam, Wong, Vincent Wai-Sun, de Lédinghen, Victor, Kim, Seung Up, Yip, Terry Cheuk-Fung

“… In this study, we developed and validated a liver stiffness-based machine learning algorithm (ML) for prediction and risk stratification of HCC in various chronic liver diseases…”
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De novo composite design based on machine learning algorithm by Gu, Grace X., Chen, Chun-Teh, Buehler, Markus J.

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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

“…Background and Aims Supragastric belches (SGB) are not detected by commercial software and are cumbersome to identify manually. We determined whether machine…”
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Automatic gap-filling of daily streamflow time series in data-scarce regions using a machine learning algorithm by Arriagada, Pedro, Karelovic, Bruno, Link, Oscar

“… The reliability of the non-parametric stochastic machine learning algorithm MissForest was assessed for gap-filling of daily streamflow time series in a data-scarce region with strong climatic variability…”
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