Results 11 to 20 of about 87,026 (282)
Journal of Biostatistics and Epidemiology, 2023 Introduction: The present study discusses the importance of having a predictive method to determine the prognosis of patients with diseases like Covid-19.
Nadiasadat Taghavi Razavizadeh +4 more
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A meta-learning based stacked regression approach for customer lifetime value prediction
Journal of Economy and Technology, 2023 Companies across the globe are keen on targeting potential high-value customers in an attempt to expand revenue, and this could be achieved only by understanding the customers more.
Karan Gadgil +2 more
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Extreme Gradient Boosting Algorithm for Energy Optimization in buildings pertaining to HVAC plants [PDF]
EAI Endorsed Transactions on Energy Web, 2021 With the recent advancements in technology, energy is being consumed at a great pace in almost every region. Buildings are the biggest consumer of energy, almost 40% of total energy is being consumed by the buildings.
Monika Goyal, Mrinal Pandey
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Rainfall prediction using Extreme Gradient Boosting
Journal of Physics: Conference Series, 2021 Abstract Rainfall greatly affects human life in various sectors including agriculture, transportation, etc. and also can affect natural disasters such as drought, floods, and landslides. This situation prompts us to build an accurate rainfall prediction model so that prescriptive measures can be made.
M T Anwar +3 more
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Using machine learning to improve risk prediction in durable left ventricular assist devices.
PLoS ONE, 2021 Risk models have historically displayed only moderate predictive performance in estimating mortality risk in left ventricular assist device therapy. This study evaluated whether machine learning can improve risk prediction for left ventricular assist ...
Arman Kilic +4 more
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Engineering Reports, 2023 The implementation of tree‐ensemble models has become increasingly essential in solving classification and prediction problems. Boosting ensemble techniques have been widely used as individual machine learning algorithms in predicting house prices.
Racheal Sibindi +2 more
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Perbandingan Metode Ensemble Learning pada Klasifikasi Penyakit Diabetes
Jurnal Masyarakat Informatika, 2022 Diabetes merupakan salah satu penyakit dalam dunia medis yang ditandai dengan kadar gula dalam darah yang tinggi pada penderitanya. Menurut data dari Organisasi Kesehatan Dunia (WHO), pada rentang tahun 1980 sampai 2014, terjadi peningkatan kasus ...
Linggar Maretva Cendani, Adi Wibowo
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Development of Machine-Learning Models to Predict Ambulation Outcomes Following Spinal Metastasis Surgery [PDF]
Asian Spine Journal, 2023 Study Design Retrospective cohort study. Purpose This study aimed to develop machine-learning algorithms to predict ambulation outcomes following surgery for spinal metastasis.
Piya Chavalparit +5 more
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Gradient boosting for extreme quantile regression
Extremes, 2023 AbstractExtreme quantile regression provides estimates of conditional quantiles outside the range of the data. Classical quantile regression performs poorly in such cases since data in the tail region are too scarce. Extreme value theory is used for extrapolation beyond the range of observed values and estimation of conditional extreme quantiles. Based
Jasper Velthoen +3 more
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Rainfall Prediction using Extreme Gradient Boosting
International Journal for Research in Applied Science and Engineering Technology, 2023 Abstract: Rainfall greatly affects human life in various sectors including agriculture, transportation, etc. and also can affect natural disasters such as drought, floods, and landslides. This situation prompts us to build an accurate rainfall prediction model so that prescriptive measures can be made.
Abhinav Kulkarni +4 more
openaire +1 more source