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Relevant bibliographies by topics / Predictive Prophecy

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Academic literature on the topic 'Predictive Prophecy'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Predictive Prophecy"

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Thube, Komal Bhaskar. "Prophecy on Programming Language using Machine Learning Algorithms." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 30, 2021): 3699–706. http://dx.doi.org/10.22214/ijraset.2021.35746.

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A programming language is a computer language developers use to develop software programs, scripts, or other sets of instruction for computers to execute. It is difficult to determine which programming language is widely used. In our work, I have analyzed and compared the classification results of various machine learning models and find out which programming language is widely used by developers. I have used Support Vector Machine (SVM), K neighbor classifier (KNN),Decision Tree Classifier(CART) for our comparative study. My task is to analyze different data and to classify them for the efficiency of each algorithm in terms of accuracy, precision, recall, and F1 Score. My best accuracy was 94.29% percent which was found using SVM. These techniques are coded in python and executed in Jupyter NoteBook, the Scientific Python Development Environment. Our experiments have shown that SVM is the best for predictive analysis and from our study that SVM is the well-suited algorithm for the prediction of the most widely used programming language.

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Vijaya Rama Raju, V., N. V. Ganapathi Raju, V. Shailaja, and Sugandha Padullaparti. "IOT based solar energy prophecy using RNN architecture." E3S Web of Conferences 184 (2020): 01007. http://dx.doi.org/10.1051/e3sconf/202018401007.

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It is the 21st century and scientists say that by the end of this century, resources will be replenished and the only way the future generations can access energy is through renewable resources— those which are inexhaustible. One such source is sunlight, which has a guaranteed stay in the long run. The energy thus given is termed as solar energy. In the present paper it is tried to solve the issue of limited resources and their adverse effects. Since the power generated from solar energy systems is highly variable, due to its dependence on meteorological conditions, an efficient method of usage of this fluctuating but precious energy source has to come in picture. This requires the scope of reliable forecast information as the development of predictive control algorithms for efficient energy management and monitoring for residential grid connected photovoltaic systems. The paper has given an overview of different applications and models for solar irradiance and photovoltaic power prediction, including time series models based on live measured data from rooftop solar power plant located at 17.5203° N, 78.3674° E. For experimentation, data collected over four years from the solar power plant was used in order to the train machine and understand the characteristics of the solar power plant and gives the predicted energy as the result. The use of Deep Learning is done where LSTM is used for the training and keras and tensorflow are used for obtaining the result. The mean square error thus obtained is 0.015.

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Johanson, John C. "Effect of Target's Sex on Manipulations of Self-Fulfilling Prophecy." Psychological Reports 84, no. 2 (April 1999): 413–23. http://dx.doi.org/10.2466/pr0.1999.84.2.413.

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Rosenthal and Jacobson outlined the results of their research concerning the Pygmalion phenomenon in 1968. Since that time, research in the field of the Pygmalion effect and, more generally, self-fulfilling prophecy has flourished. The process of self-fulfilling prophecy involves a target individual interpreting a source individual's often nonverbal expectations, internalizing those expectations, and then behaving in accordance with those expectations. Some have suggested that female targets are less likely than male targets to be influenced by such treatments despite the fact that females are generally superior at nonverbal decoding of other's expectations. Other research has shown, however, that female targets are less confident of their interpretation of nonverbal cues and are less likely to conform blindly to other's expectations than are male targets This paper reports a test of the hypothesis that female targets require a source of greater credibility than males to elicit a self-fulfilling prophecy effect. 100 undergraduate volunteers completed a mock predictive test of analytic abilities, and each received uniformly positive feedback concerning his performance. Each then competed against a computer at a simulated card game to provide another measure of analytic abilities. The game score and time on task indicated that female targets, unlike males, performed better at the card game when they were led to believe that the predictive test was constructed by a highly credible individual than by a less credible one.

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J. Pech, Richard. "Prophets and losses: the predictive impulse." Journal of Business Strategy 35, no. 1 (January 14, 2014): 43–51. http://dx.doi.org/10.1108/jbs-06-2013-0042.

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Purpose – The topic of forecasting and our (in)ability to predict the future should be regularly revisited as our memories seem incredibly short and forgiving of inaccurate and false predictions, as well as our failure to predict what should have been obvious. Forecasting is a critical stage of the strategizing process. Why are we still getting it wrong? Design/methodology/approach – Using a conceptual approach, this paper warns against placing too much faith in our predictive (in)abilities and attempts to address the question of why we continue to seek out and trust a flawed industry that profits from false prophecy. Findings – Humans have always found comfort in soothsayers and mystics. Where once they came in the guise of tribal witch doctors, today many appear as economists, strategists, and consultants. Our need for security is readily exploited by people claiming to know the future. We receive pleasure from the act of cooperation and therefore prefer to believe rather than disbelieve. We place faith in myths rather than facts, and we fail to see what in hindsight should have been obvious. Originality/value – This paper acts as a warning. Forecasting is about identifying patterns and themes and designing multiple response scenarios. Myths and magic have no place in the modern business world, and those who claim to “know” the future are really only speculating or lying – no one can “see” the future. Strategists can only reflect on the past, speculate in an informed manner, and design multiple alternative responses. The anomalous event, the pattern breaker, the surprise, will always be with us. The best we can do is to prepare for what might occur, and operate on the basis that just because something has been with us for a long time, it may not be with us forever.

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Grund-Wittenberg, Alexandra. "The Future of the Past: Literarische Prophetien, Prophetenspruchsammlungen und die Anfänge der Schriftprophetie." Vetus Testamentum 71, no. 3 (February 18, 2021): 365–96. http://dx.doi.org/10.1163/15685330-12341069.

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Abstract The article is a contribution to the current discussion about the beginnings of prophetic books in ancient Israel. It investigates the significance of the so-called „Literary Predictive Texts“ (LPT) and the Neo-Assyrian prophecies for our understanding of the emergence of prophetic writings in Israel. TheLPTin particular had received only little attention so far. Tying in critically with some recent studies, this article compares the Marduk prophecy and the Neo-Assyrian tablet SAA9 3 with selected passages from the book of Amos (Amos 3–6* and Amos 6*). It concludes that in contrast to the Neo-Assyrian collective tablets the LPTcannot serve as appropriate analogies to early prophetic scrolls, but that they are helpful to understand the phenomenon of tradent prophecy.

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Atkins, Gareth. "‘Isaiah's Call to England': Doubts about Prophecy in Nineteenth-Century Britain." Studies in Church History 52 (June 2016): 381–97. http://dx.doi.org/10.1017/stc.2015.22.

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Prophetic thought in nineteenth-century Britain has often been presented as divided between those mostly evangelical constituencies who ‘believed' in its literal fulfilment in the past, present or future and those who ‘doubted' such interpretations. This essay seeks to question that division by tracking the uses of one set of prophetic passages, those concerning the ‘Ships of Tarshish’ mentioned in Isaiah 60: 9 and elsewhere. It examines their appropriation from the late eighteenth century onwards by those seeking prophetic-providential justification for the British maritime empire. Next it shows how such such ideas fuelled missionary expansion in the years after 1815, suggesting that by mid-century that there was a growing spectrum of ways in which such passages were used by religious commentators. The final section shows how biblical critics seeking to bolster the integrity of the Bible as a text reconstructed the geographical and economic settings for these passages, establishing their historical veracity as they did so but in the process undermining their supernaturally predictive status. Thus one way of bolstering ‘faith’ – the study of prophetic fulfilments – was rendered doubtful by another. By the end of our period Tyre and Tarshish retained much of their homiletic punch as metaphors for the sin brought by trade and luxury, but those who saw them as literal proxies for Britain were in the minority.

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Armstrong, Andrew J., Jun Luo, Monika Anand, Emmanuel S. Antonarakis, David M. Nanus, Paraskevi Giannakakou, Russell Zelig Szmulewitz, et al. "AR-V7 and prediction of benefit with taxane therapy: Final analysis of PROPHECY." Journal of Clinical Oncology 38, no. 6_suppl (February 20, 2020): 184. http://dx.doi.org/10.1200/jco.2020.38.6_suppl.184.

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184 Background: We previously found that men with AR-V7 (+) poor risk mCRPC have a low chance of benefit with abiraterone or enzalutamide. The benefits of subsequent taxane chemotherapy based on AR-V7 status may help inform treatment decisions. Methods: We conducted a multicenter prospective study of men with poor risk mCRPC (PROPHECY, NCT02269982) starting Abi or Enza and subsequent taxane chemotherapy. AR-V7 status from CTCs was assessed before abi/enza and again before taxane chemotherapy using the Epic nuclear protein assay or the Johns Hopkins Adnatest assay. The primary endpoint was to test the association of AR-V7 with radiographic/ clinical progression free survival (PFS) and OS with taxane chemotherapy, using the proportional hazards model, adjusting for Cell Search enumeration and clinical risk score. Results: We enrolled 118 men with mCRPC starting Abi/Enza; of these, 51 were evaluable with CTC AR-V7 testing and received subsequent taxane chemotherapy. With 50 PFS events, see table for final results. While AR-V7 positivity was associated with worse outcomes overall, AR-V7 (+) patients had similar PFS, OS, and confirmed >50% PSA declines adjusting for CTC enumeration and clinical prognostic factors. Concordance between the two AR-V7 assays pre-taxane was 0.78 (kappa 0.46). AR-V7 positivity increased at progression on abi/enza, but not following taxane chemotherapy. Conclusions: Men with AR-V7 positive mCRPC have poor outcomes, but may benefit from taxane chemotherapy after progression on abi/enza. AR-V7 may provide a helpful predictive biomarker to guide treatment with a second AR inhibitor or a taxane. Clinical trial information: NCT02269982. [Table: see text]

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Dirix, Luc. "Predictive Significance of Androgen Receptor Splice Variant 7 in Patients With Metastatic Castration-Resistant Prostate Cancer: The PROPHECY Study." Journal of Clinical Oncology 37, no. 24 (August 20, 2019): 2180–81. http://dx.doi.org/10.1200/jco.19.00811.

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Petropoulos Petalas, Diamantis, Stefan Bos, Paul Hendriks Vettehen, and Hein T. van Schie. "Event-related brain potentials reflect predictive coding of anticipated economic change." Cognitive, Affective, & Behavioral Neuroscience 20, no. 5 (August 18, 2020): 961–82. http://dx.doi.org/10.3758/s13415-020-00813-5.

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Abstract Research has demonstrated the importance of economic forecasts for financial decisions at the aggregate economic level. However, little is known about the psychological and neurophysiological mechanisms that economic forecasts activate at the level of individual decision-making. In the present study, we used event-related brain potentials (ERPs) to test the hypothesis that economic forecasts influence individuals’ internal model of the economy and their subsequent decision behavior. Using a simple economic decision-making game, the Balloon Analogue of Risk Task (BART) and predictive messages about possible economic changes in the game before each block, we test the idea that brain potentials time-locked to decision outcomes can vary as a function of exposure to economic forecasts. Behavioural results indicate that economic forecasts influenced the amount of risk that participants were willing to take. Analyses of brain potentials indicated parametric increases of the N1, P2, P3a, and P3b amplitudes as a function of the level of risk in subsequent inflation steps in the BART. Mismatches between economic forecasts and decision outcomes in the BART (i.e., reward prediction errors) were reflected in the amplitude of the P2, P3a, and P3b, suggesting increased attentional processing of unexpected outcomes. These electrophysiological results corroborate the idea that economic messages may indeed influence people’s beliefs about the economy and bias their subsequent financial decision-making. Our findings present a first important step in the development of a low-level neurophysiological model that may help to explain the self-fulfilling prophecy effect of economic news in the larger economy.

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Pretorius, S. P. "Word volgelinge van sommige hedendaagse “profete” mislei en van hulle regte ontneem onder die dekmantel van profesie?" Verbum et Ecclesia 26, no. 2 (October 3, 2005): 507–26. http://dx.doi.org/10.4102/ve.v26i2.237.

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Prophets and their prophecies seem to form an integral part of the spirituality of some believers. A small group of believers in Hertzogville are clinging wholeheartedly to the prediction uttered by their ‘prophet’, a certain David Francis. According to Francis, God gave him a message on 1 July 2004 that the deceased, Paul Meintjies, should not be buried because he would rise from the dead. Francis gave no specific date for the resurrection — God will speak to him when the time is right. Although Francis could give no specific date, rumours amongst the people in Hertzogville had it that the resurrection would take place on 29 July 2004. This date was later changed to 5 and then to 8 August 2004. Nothing happened on any of these dates. In spite of everything, the followers of Francis still believe that Meintjies will rise from the dead. In this article the claim of modern day ‘prophet’ and their so-called godly messages are evaluated. This is done in light of the Biblical prophets. Judging by the actions of his followers, it seems that Francis has gained some sort of control over them, affecting their whole lives. The prophecy appears to be instrumental in the control he has over his followers. How this ‘control’ over his followers affect their whole lives and in particular their rights is also investigated The conclusion is that modern ‘prophets’ of the like of Francis gain an unethical control over their followers’ lives through so-called ‘prophecy’. Prophecy interpreted by his followers as ‘God’ s Word’ acts as a powerful instrument in achieving this control. In the process the followers are also denied certain rights according to the country’ s Constitution under the banner of freedom of religion.

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Dissertations / Theses on the topic "Predictive Prophecy"

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Betz, Gregor. "Prediction or prophecy ? : the boundaries of economic foreknowledge and their sociopolitical consequences /." Wiesbaden : Deutscher Universitäts-Verlag, 2006. http://catalogue.bnf.fr/ark:/12148/cb40227885b.

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Betz, Gregor Tetens Holm. "Prediction or prophecy? the boundaries of economic foreknowledge and their socio-political consequences /." Wiesbaden : Deutscher Universitäts-Verlag, 2006. http://site.ebrary.com/id/10231757.

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Betz, Gregor. "Prediction or prophecy? : the boundaries of economic foreknowledge and their socio-political consequences /." Wiesbaden : Dt. Univ.-Verl, 2006. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=014606920&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA.

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Pennesi, Karen. "The Predicament of Prediction: Rain Prophets and Meteorologists in Northeast Brazil." Diss., The University of Arizona, 2007. http://hdl.handle.net/10150/194313.

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Meteorologists working for the state government in Ceara, Northeast Brazil claim that the kinds of forecasts they can currently produce are not useful for subsistence farmers, who lack resources to act on forecast-based decisions. I argue that scientific predictions do have meaning and consequences in rural communities. Official forecasts inform policies that affect farmers; therefore, farmers hold government accountable for predictions, even if they do not directly influence the farmers' own decision-making.My investigation takes the discussion beyond notions of "usefulness" as I demonstrate that prediction is more than a projection of the future based on the past and the present. In prediction discourse, people create understandings of their place in the social world, including their relationship to government. While government discourse constructs farmers as "non-users" and removes its responsibility to them, traditional "rain prophets" motivate farmers with optimistically-framed predictions and encourage autonomy from government.Prediction is a meaning-making endeavor―not just of ecological and atmospheric processes, but of who people are and how they live. Drawing on linguistic theories of performance and performativity, I analyze strategic language use within a cultural models framework, taking into account the emotions and motivations associated with experiences of living in a particular environment (both natural and material), and how these are crucial to understanding the meanings of prediction. Through prediction, people test the limits of their knowledge, judgement and faith. My examination of the connections between cultural models of 'prediction' and 'lie' explains how traditional predictions motivate farmers and build solidarity in opposition to exclusionary systems of government and science.This research furthers our understanding of how locally marginalized groups engage with government and the knowledge systems it privileges. After tracing constructions of "rain prophet" and "scientist" in the media, I show how rain prophets both oppose themselves to and align themselves with media representations of science, as they establish their authority and challenge meteorologists' expertise. Meanwhile, meteorologists work to authenticate science as the only legitimate authority. Thus, in prediction performances, meteorologists and rain prophets position themselves within local and global discourses about science and traditional knowledge.

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Lee, You-Luen, and 李侑倫. "DC-Prophet: Predicting Catastrophic Machine Failures in DataCenters." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/5qvsd3.

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碩士
國立清華大學
資訊工程學系所
106
When will a server fail catastrophically in an industrial datacenter? Is it possible to forecast these failures so preventive actions can be taken to increase the reliability of a datacenter? To answer these questions, we have studied what are probably the largest, publicly available datacenter traces, containing more than 104 million events from 12,500 machines. Among these samples, we observe and categorize three types of machine failures, all of which are catastrophic and may lead to information loss, or even worse, reliability degradation of a datacenter. We further propose a two-stage framework—DC-Prophet—based on One-Class Support Vector Machine and Random Forest. DC-Prophet extracts surprising patterns and accurately predicts the next failure of a machine. Experimental results show that DC-Prophet achieves an AUC of 0.93 in predicting the next machine failure, and a F3-score of 0.88 (out of 1). On average, DC-prophet outperforms other classical machine learning methods by 39.45% in F3-score.

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Mohamed, Abdullaahi, Ajdin Zekan, and Alexander Eriksson. "SARIMAX tillförlitlighet vid prediktion av fjärrvärmeförbrukning : En experimentell studie." Thesis, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-25475.

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Huvudsyftet med denna studie är att förstå om ett säsongsmässigt autoregressivt integrerat rörligt genomsnitt (SARIMA) -metod pålitligt kan förutsäga extrem variation i värmelaster för en fjärrvärmestation. Genom extrem variation ser vi på den maximala och minsta värmebelastningen per dag mätt i megawattstimmar. Avhandlingen bygger på standardimplementering av SARIMAX och utför en rutnätsökning efter de mest lämpliga parametrarna. Prognoser kan genereras från tidsserier i syfte att uppskatta förväntad energiförbrukning i en fjärrvärmestation. Frågan som ställs är: Hur tillförlitlig är SARIMAX-modellen för energibehov i en fjärrvärmestation? För att besvara studiens fråga designas och genomförs experiment med hjälp av ett dataset från verkliga mätningar. Datasetet studerades och analyserades med hjälp av undersökande dataanalystekniker som kommer med statistiska paket implementerade i en pythonmiljön, som kan användas som ett statistiskt program. Uppgifterna är uppdelade i två säsonger, sommar och vinter. Där den explorativa analysen av datasetet visar att modellen måste ta hänsyn till den starka veckocykeln med data. Så att korrelationen mellan utetemperaturen kan användas för att förbättra förutsägelsen. Fininställning och tillämpning av SARIMAX och Prophet för förutsägelser genererar data i form av diagram som visar hur tillförlitlig modellen är för förutsägelse. Resultaten visar att SARIMAX-modellen presterar bättre under vintermånaderna och sämre under sommaren. Baserat på dessa resultat antyder avhandlingsstudien att SARIMAX-modellen är mer tillämplig under vintermånaderna där förutsägelsen är mer tillförlitlig. Jämförelser med Prophet modellen indikerar lovande resultat och att vidare forskning borde föras för denna modell. Dessa resultat kan vara till hjälp för industrin som förser samhället och konsumenterna med fjärrvärme. Det hjälper till att förutse hur mycket energiförbrukning som används där industrin kan använda den för att reglera mängden fjärrvärme, för att ytterligare hjälpa ekonomin och miljön.
The main objective in this study is to understand if a Seasonal Autoregressive Integrated Moving Average (SARIMA) method can reliably predict extreme variation in heat loads for a district heating substation. By extreme variation we look at the maximum and minimum heat load per day measured in megawatt hour. The thesis relies on standard implementation of SARIMAX and performs a grid search for the most suitable parameters. Forecast can be generated from time series with the purpose of estimating expected energy consumption in a district heating substation. The question addressed is: How reliable is the SARIMAX-model for energy demand in a district heating substation? To answer the study’s question, experiments are designed and conducted using a dataset from real measurements. The dataset was studied and analyzed using exploratory data analysis techniques that come with statistical packages implemented in the python environment, which can be used as a statistical program. The data is separated into two seasons, summer and winter. Where the explorative analysis of the data shows that the model needs to take in account the strong weekly cycle of data. Also the correlation between the outside temperature can be used to improve prediction. Fine tuning and applying SARIMAX and Prophet for predictions generates data in the form of graphs and tables which shows how reliable the SARIMAX model is for prediction. Results show that the SARIMAX model is performing better during winter months and worse during summer. Based on these results, the thesis study suggests that the SARIMAX-model is more applicable during winter months where prediction is more reliable. Comparison with the Prophet model indicates promising results and that further investigations should be made into this model. These results can be of help to the industry that supplies the community and consumers with district heating. It helps by predicting how much energy consumption is used where the industry can use it to regulate the amount of district heating, to further help the economy and environment.

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Books on the topic "Predictive Prophecy"

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1952-, Jantz Stan, ed. Bible prophecy 101. Eugene, Or: Harvest House Publishers, 2004.

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The apocalyptic prophecy. Orlando, FL: Creation House, 1998.

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1952-, Jantz Stan, ed. Bruce & Stan's guide to Bible prophecy. Eugene, Or: Harvest House, 1999.

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James, Harrison. The pattern & the prophecy: God's great code. Peterborough, Ont., Canada: Isaiah Publications, 1995.

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Printing and prophecy: Prognostication and media change, 1450-1550. Ann Arbor: University of Michigan Press, 2011.

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de, Vriese Willem, ed. The strange and terrible visions of Wilhelm Friess: The paths of prophecy in Reformation Europe. Ann Arbor: The University of Michigan Press, 2014.

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Hand guide to the future: A guidebook for interpreting the signposts on the road to New Jerusalem. DeBary, FL: Longwood Communications, 1996.

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Prophets and prophesy: Predicting the future. New York: Cavendish Square, 2014.

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When Jesus returns. London: Hodder & Stoughton, 1995.

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Earth's final days. Green Forest, AR: New Leaf Press, 1995.

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Book chapters on the topic "Predictive Prophecy"

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Wolosky, Shira. "The Turns of Time: Memory, Prediction, Prophecy." In The Riddles of Harry Potter, 75–98. New York: Palgrave Macmillan US, 2010. http://dx.doi.org/10.1057/9780230115576_4.

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Addiscott, T. M. "Simulation, Prediction, Foretelling or Prophecy? Some Thoughts on Pedogenetic Modeling." In Quantitative Modeling of Soil Forming Processes, 1–15. Madison, WI, USA: Soil Science Society of America, 2015. http://dx.doi.org/10.2136/sssaspecpub39.c1.

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Lee, You-Luen, Da-Cheng Juan, Xuan-An Tseng, Yu-Ting Chen, and Shih-Chieh Chang. "DC-Prophet: Predicting Catastrophic Machine Failures in DataCenters." In Machine Learning and Knowledge Discovery in Databases, 64–76. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-71273-4_6.

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Asha, J., S. Rishidas, S. SanthoshKumar, and P. Reena. "Analysis of Temperature Prediction Using Random Forest and Facebook Prophet Algorithms." In Innovative Data Communication Technologies and Application, 432–39. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38040-3_49.

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Maria Jones, G., and S. Godfrey Winster. "Prediction of Novel Coronavirus (nCOVID-19) Propagation Based on SEIR, ARIMA and Prophet Model." In Algorithms for Intelligent Systems, 189–208. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4236-1_11.

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Bhalerao, Shivani, and Pallavi Chavan. "COVID 19 Prediction Model Using Prophet Forecasting with Solution for Controlling Cases and Economy." In Studies in Systems, Decision and Control, 139–51. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77302-1_8.

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"Chapter Two. Nābî’, Pesher, and predictive prophecy in the Dead Sea Scrolls." In Mediating the Divine, 27–38. BRILL, 2007. http://dx.doi.org/10.1163/ej.9789004158429.i-452.10.

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Van Seters, John. "Prophecy as Prediction in Biblical Historiography." In Prophets, Prophecy, and Ancient Israelite Historiography, 93–104. Penn State University Press, 2013. http://dx.doi.org/10.5325/j.ctv1bxgxfk.8.

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R, Manikandan, Balaji S R, Sakthivel R, Gayathri L U, and Durga E. "Prior Prophecy of Septicemia Through Machine Learning." In Intelligent Systems and Computer Technology. IOS Press, 2020. http://dx.doi.org/10.3233/apc200131.

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In recent days, diagnosis of sepsis involves a wide range of tests. Single test cannot tell that a person has sepsis. Undetected sepsis finally leads to death. The main drawback of sepsis is, there is much delay in predicting the diseases and identifying the various stages. Thus to avoid this delay in detection, we use Machine Learning concept. Thus by using this method prediction of sepsis has been increased and the mortality rate is reduced.

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Wilson, Bryan. "Prediction and Prophecy in the Future of Religion." In Predicting Religion, 64–73. Routledge, 2017. http://dx.doi.org/10.4324/9781315246161-6.

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Conference papers on the topic "Predictive Prophecy"

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Ma, You, Shangguang Wang, Qibo Sun, Hua Zou, and Fangchun Yang. "Predicting unknown QoS value with QoS-Prophet." In Proceedings Demo & Poster Track of ACM/IFIP/USENIX International Middleware Conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2541614.2541629.

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Garlapati, Anusha, Doredla Radha Krishna, Kavya Garlapati, Nandigama mani Srikara Yaswanth, Udayagiri Rahul, and Gayathri Narayanan. "Stock Price Prediction Using Facebook Prophet and Arima Models." In 2021 6th International Conference for Convergence in Technology (I2CT). IEEE, 2021. http://dx.doi.org/10.1109/i2ct51068.2021.9418057.

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Jaenisch, Holger, and James Handley. "Performance comparison of the Prophecy (forecasting) Algorithm in FFT form for unseen feature and time-series prediction." In SPIE Defense, Security, and Sensing, edited by Igor V. Ternovskiy and Peter Chin. SPIE, 2013. http://dx.doi.org/10.1117/12.2015417.

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Wu, Xingfu, Valerie Taylor, Shane Garrick, Dazhi Yu, and Jacques Richard. "Performance Analysis, Modeling and Prediction of a Parallel Multiblock Lattice Boltzmann Application Using Prophesy System." In 2006 IEEE International Conference on Cluster Computing. IEEE, 2006. http://dx.doi.org/10.1109/clustr.2006.311876.

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Madhuri, Ch Raga, Mukesh Chinta, and V. V. N. V. Phani Kumar. "Stock Market Prediction for Time-series Forecasting using Prophet upon ARIMA." In 2020 7th International Conference on Smart Structures and Systems (ICSSS). IEEE, 2020. http://dx.doi.org/10.1109/icsss49621.2020.9202042.

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Zhoul, Landi, Ming Chenl, and Qingjian Ni. "A hybrid Prophet-LSTM Model for Prediction of Air Quality Index." In 2020 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2020. http://dx.doi.org/10.1109/ssci47803.2020.9308543.

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Gao, Kai, Jingxuan Zhang, Y. Richard Yang, and Jun Bi. "Prophet: Fast Accurate Model-Based Throughput Prediction for Reactive Flow in DC Networks." In IEEE INFOCOM 2018 - IEEE Conference on Computer Communications. IEEE, 2018. http://dx.doi.org/10.1109/infocom.2018.8486372.

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Duarte, Diego, and Julio Faerman. "Comparison of Time Series Prediction of Healthcare Emergency Department Indicators with ARIMA and Prophet." In 9th International Conference on Computer Science, Engineering and Applications. Aircc publishing Corporation, 2019. http://dx.doi.org/10.5121/csit.2019.91810.

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Li, Haoming, Feiyang Pan, Xiang Ao, Zhao Yang, Min Lu, Junwei Pan, Dapeng Liu, Lei Xiao, and Qing He. "Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback." In SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3404835.3463045.

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Sulasikin, Andi, Yudhistira Nugraha, Juan Intan Kanggrawan, and Alex L. Suherman. "Monthly Rainfall Prediction Using the Facebook Prophet Model for Flood Mitigation in Central Jakarta." In 2021 International Conference on ICT for Smart Society (ICISS). IEEE, 2021. http://dx.doi.org/10.1109/iciss53185.2021.9532507.

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