Výsledky vyhledávání - "Machine Learning Algorithm"

Cognitive Machine-Learning Algorithm for Cardiac Imaging: A Pilot Study for Differentiating Constrictive Pericarditis From Restrictive Cardiomyopathy Autor 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 Autor 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 Autor 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 Autor 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 Autor 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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Machine Learning Algorithm Predicts Cardiac Resynchronization Therapy Outcomes: Lessons From the COMPANION Trial Autor 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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Coronary CT Angiography-derived Fractional Flow Reserve: Machine Learning Algorithm versus Computational Fluid Dynamics Modeling Autor 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 Autor 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 Novel Strategy for Waste Prediction Using Machine Learning Algorithm with IoT Based Intelligent Waste Management System Autor 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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Weather forecasting and prediction using hybrid C5.0 machine learning algorithm Autor 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 Autor 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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Rapid Data‐Efficient Optimization of Perovskite Nanocrystal Syntheses through Machine Learning Algorithm Fusion Autor 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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A machine learning algorithm to analyse the effects of vaccination on COVID-19 mortality Autor 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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Prediction of Type 2 Diabetes Based on Machine Learning Algorithm Autor 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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A Liver Stiffness-Based Etiology-Independent Machine Learning Algorithm to Predict Hepatocellular Carcinoma Autor 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 Autor Gu, Grace X., Chen, Chun-Teh, Buehler, Markus J.

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Prediction & optimization of alkali-activated concrete based on the random forest machine learning algorithm Autor 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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Automatic gap-filling of daily streamflow time series in data-scarce regions using a machine learning algorithm Autor 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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A machine learning algorithm to increase COVID-19 inpatient diagnostic capacity Autor Goodman-Meza, David, Rudas, Akos, Chiang, Jeffrey N., Adamson, Paul C., Ebinger, Joseph, Sun, Nancy, Botting, Patrick, Fulcher, Jennifer A., Saab, Faysal G., Brook, Rachel, Eskin, Eleazar, An, Ulzee, Kordi, Misagh, Jew, Brandon, Balliu, Brunilda, Chen, Zeyuan, Hill, Brian L., Rahmani, Elior, Halperin, Eran, Manuel, Vladimir

“… (PCR-based testing exist. Our aim was to develop and evaluate a machine learning algorithm to diagnose COVID-19 in the inpatient setting…”
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Machine learning algorithm for minute-long burst searches Autor Boudart, Vincent, Fays, Maxime

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