Predictive analytics : the power to predict who will click, buy, lie, or die / by Siegel, Eric

Subjects:

Case-based predictions : an axiomatic approach to prediction, classification and statistical learning / by Gilboa, Itzhak 550624, Schmeidler, David, 1939- 186563

Subjects: “…Prediction theory…”

Development of predictive heart risk score : A predictive mobile apps by Sajid, Mirza Rizwan, Noryanti, Muhammad, Khan, Arshad Ali

“…Predictive Model of Heart Risk Score. Non-Laboratory-Based Heart Risk Score (NLHRS) Apps has been developed based on risk prediction models produced from novel machine learning (ML) methodology. …”
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Lacunarity, predictability and predictive instability of the daily pluviometric regime in the Iberian Peninsula by M. D. Martínez, X. Lana, A. Burgueño, C. Serra

“…The complexity of the daily pluviometric regime of the Iberian Peninsula is analysed from the point of view of its lacunarity, predictability and predictive instability. The database consists of daily pluviometric records obtained from 43 rain gauges in Spain and Portugal for the period 1950–1990. …”
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Overestimated prediction using polygenic prediction derived from summary statistics by David Keetae Park, Mingshen Chen, Seungsoo Kim, Yoonjung Yoonie Joo, Rebekah K. Loving, Hyoung Seop Kim, Jiook Cha, Shinjae Yoo, Jong Hun Kim

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The effect of prediction error on episodic memory encoding is modulated by the outcome of the predictions by Francesco Pupillo, Javier Ortiz-Tudela, Rasmus Bruckner, Yee Lee Shing

“…When participants correctly predicted the object category, stronger prediction errors (as a consequence of weak expectations) led to enhanced memory. …”
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Concentration Separation Prediction Model to Enhance Prediction Accuracy of Particulate Matter by Yong-jin Jung, Chang-heon Oh

“…This study proposed a concentration-specific separation prediction model to overcome this shortcoming. Three prediction models based on Deep Neural Network (DNN), Recurrent Neural Network (RNN), and Long Short-Term Memory (LSTM), commonly used for performance evaluation of the proposed prediction model, were used as comparative models. …”
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Robustness of predictive energy harvesting systems: Analysis and adaptive prediction scaling by Naomi Stricker, Reto Da Forno, Lothar Thiele

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Hybrid Ship Unit Commitment with Demand Prediction and Model Predictive Control by Janne Huotari, Antti Ritari, Jari Vepsäläinen, Kari Tammi

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Segmental Degradation RUL Prediction of IGBT Based on Combinatorial Prediction Algorithms by Linghui Meng, Yiqiang Chen, Zhenwei Zhou

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Nomogram prediction for the prediction of clinical pregnancy in Freeze-thawed Embryo Transfer by Qian Zhang, Xiaolong Wang, Yuming Zhang, Haiou Lu, Yuexin Yu

“…Combined with basic clinical data, we further established a practical prediction model for early clinical outcomes in Freeze-thawed Embryo Transfer (FET). …”
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Modelling and Prediction of Monthly Global Irradiation Using Different Prediction Models by Cecilia Martinez-Castillo, Gonzalo Astray, Juan Carlos Mejuto

Subjects: “…prediction…”
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CARBOXYHEMOGLOBIN LEVELS IN PRETERM NEONATAL LATE-ONSET SEPSIS: TO PREDICT OR NOT TO PREDICT by GONCA VARDAR, Eren Ozek

“…At an optimal cut-off of >1.5%, the test’s sensitivity was 64.94%, the specificity was 72.73%, the positive predictive value was 70.42%, and the negative predictive value was 67.47%.LOS led to a dramatic rise followed by a decrease after the initiation of the antimicrobial therapy [1.8 (1.4-2.5) ] vs. [1.45 (0.2-4)] p<0.001. …”
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Study on the prediction and inverse prediction of detonation properties based on deep learning by Zi-hang Yang, Ji-li Rong, Zi-tong Zhao

“…The accurate and efficient prediction of explosive detonation properties has important engineering significance for weapon design. …”
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Reduction of Prediction Errors for the Matrix Converter with an Improved Model Predictive Control by Shuang Feng, Chaofan Wei, Jiaxing Lei

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Comparison of RNA-Seq and microarray in the prediction of protein expression and survival prediction by Won-Ji Kim, Bo Ram Choi, Joseph J. Noh, Yoo-Young Lee, Tae-Joong Kim, Jeong-Won Lee, Byoung-Gie Kim, Chel Hun Choi

“…Additionally, our survival prediction model results were controversial.…”
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Predicting mortality and recurrence in colorectal cancer: Comparative assessment of predictive models by Shayeste Alinia, Mohammad Asghari-Jafarabadi, Leila Mahmoudi, Ghodratollah Roshanaei, Maliheh Safari

“…The main objective of this study was to assess the accuracy of predictive models in predicting both mortality events and the probability of disease recurrence. …”
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Predictive Models for Prediction of Broad Crested Gabion Weir Aeration Performance by Nand Tiwari, KM Luxmi, Subodh Ranjan

“…The results show that the DNN with the highest value of R2 (0.935) and NSE (0.934) and having the least errors in validating phase is the outperforming proposed model in the prediction of the APE20, which the NN model follows with R2 (0.917) and NSE (0.917). …”
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Why did the prediction change? Explaining changes in predictions as time progresses by Wang, Wei-En Warren

“…We study the prediction problem of turbine brake pad failures, where predictive time-series ML models were deployed in production. …”
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Making Business Predictions by Combining Human and Machine Intelligence in Prediction Markets by Nagar, Yiftach, Malone, Thomas W.

“…Computers can use vast amounts of data to make predictions that are often more accurate than those by human experts. …”
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