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Bibliographies thématiques / Predictive healthcare / Livres

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Livres sur le sujet « Predictive healthcare »

Auteur : Grafiati

Publié le 2 juin 2025

Mis à jour le 31 juillet 2025

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1

Roy, Sudipta, Lalit Mohan Goyal, and Mamta Mittal, eds. Advanced Prognostic Predictive Modelling in Healthcare Data Analytics. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0538-3.

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2

Singh Bhati, Bhoopesh, Dimple Tiwari, and Nitesh Singh Bhati. IoT and AI-Enabled Healthcare Solutions and Intelligent Disease Prediction. CRC Press, 2025. https://doi.org/10.1201/9781003509608.

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3

Gary, Miner, Miner Linda, and Dean Darrell. Healthcare’s Out Sick – Predicting A Cure – Solutions That Work !!!! Productivity Press, 2019. http://dx.doi.org/10.4324/9780429506932.

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4

SUBBHURAAM. Predictive Analytics Healthcare Chroni. Institute of Physics Publishing, 2021.

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5

SUBBHURAAM. Predictive Analytics Healthcare Chroni. Institute of Physics Publishing, 2021.

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6

Duncan, Ian. Healthcare Risk Adjustment & Predictive Modeling. ACTEX Learning, 2018.

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7

Healthcare risk adjustment and predictive modeling. ACTEX Publications, 2011.

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8

Banerjee, Sourav, Chinmay Chakraborty, and Kousik Dasgupta. Green Computing and Predictive Analytics for Healthcare. Taylor & Francis Group, 2020.

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9

Nelson, John W., Jayne Felgen, and Mary Ann Hozak, eds. Using Predictive Analytics to Improve Healthcare Outcomes. Wiley, 2021. http://dx.doi.org/10.1002/9781119747826.

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10

Banerjee, Sourav, Chinmay Chakraborty, and Kousik Dasgupta. Green Computing and Predictive Analytics for Healthcare. Taylor & Francis Group, 2020.

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11

Banerjee, Sourav, Chinmay Chakraborty, and Kousik Dasgupta. Green Computing and Predictive Analytics for Healthcare. Taylor & Francis Group, 2020.

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12

Felgen, Jayne, John W. Nelson, and Mary Ann Hozak. Using Predictive Analytics to Improve Healthcare Outcomes. Wiley & Sons, Incorporated, John, 2021.

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13

Felgen, Jayne, John W. Nelson, and Mary Ann Hozak. Using Predictive Analytics to Improve Healthcare Outcomes. Wiley & Sons, Incorporated, John, 2021.

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14

Felgen, Jayne, John W. Nelson, and Mary Ann Hozak. Using Predictive Analytics to Improve Healthcare Outcomes. Wiley & Sons, Limited, John, 2021.

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15

Felgen, Jayne, John W. Nelson, and Mary Ann Hozak. Using Predictive Analytics to Improve Healthcare Outcomes. Wiley & Sons, Incorporated, John, 2021.

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16

Banerjee, Sourav, Chinmay Chakraborty, and Kousik Dasgupta. Green Computing and Predictive Analytics for Healthcare. Taylor & Francis Group, 2020.

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17

Green Computing and Predictive Analytics for Healthcare. Taylor & Francis Group, 2020.

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18

Mittal, Mamta, Lalit Mohan Goyal, and Sudipta Roy. Advanced Prognostic Predictive Modelling in Healthcare Data Analytics. Springer, 2022.

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19

Mittal, Mamta, Lalit Mohan Goyal, and Sudipta Roy. Advanced Prognostic Predictive Modelling in Healthcare Data Analytics. Springer Singapore Pte. Limited, 2021.

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20

Healthcare Overview Advances in Predictive Preventive and Personalised Medicine. Springer, 2012.

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21

Fombu, Emmanuel. Predictive Medicine: Artificial Intelligence and Its Impact on Healthcare Business Strategy. Business Expert Press, 2020.

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22

Fombu, Emmanuel. Predictive Medicine: Artificial Intelligence and Its Impact on Healthcare Business Strategy. Business Expert Press, 2020.

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23

Fombu, Emmanuel. Predictive Medicine: Artificial Intelligence and Its Impact on Healthcare Business Strategy. Business Expert Press, 2022.

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24

Kumar, Abhishek, Ashutosh Kumar Dubey, Surbhi Bhatia, Swarn Avinash Kumar, and Dac-Nhuong Le, eds. Evolving Predictive Analytics in Healthcare: New AI techniques for real-time interventions. Institution of Engineering and Technology, 2022. http://dx.doi.org/10.1049/pbhe043e.

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25

Kumar, Swarn Avinash, Dac-Nhuong Le, Abhishek Kumar, Ashutosh Kumar Dubey, and Surbhi Bhatia. Evolving Predictive Analytics in Healthcare: New AI Techniques for Real-Time Interventions. Institution of Engineering & Technology, 2022.

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26

Kumar, Swarn Avinash, Dac-Nhuong Le, Abhishek Kumar, Ashutosh Kumar Dubey, and Surbhi Bhatia. Evolving Predictive Analytics in Healthcare: New AI Techniques for Real-Time Interventions. Institution of Engineering & Technology, 2022.

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27

Walker-Ruroede, Kathleen. Predictive model for healthcare risk management personal investment initiatives within a managed care environment. 1999.

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28

Global Business Analytics Models: Concepts and Applications in Predictive, Healthcare, Supply Chain, and Finance Analytics. Pearson FT Press, 2016.

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29

Miner, Gary D., Linda Miner, and Darrell L. Dean. HEALTHCARE's OUT SICK - PREDICTING a CURE - Solutions That WORK !!!!: Predictive Analytic Modeling, Decision Making, INNOVATIONS and Precision Medicine Necessary to Correct the Broken Healthcare Delivery System. Productivity Press, 2019.

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30

Miner, Gary D., Linda Miner, and Darrell L. Dean. HEALTHCARE's OUT SICK - PREDICTING a CURE - Solutions That WORK !!!!: Predictive Analytic Modeling, Decision Making, INNOVATIONS and Precision Medicine Necessary to Correct the Broken Healthcare Delivery System. Productivity Press, 2019.

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31

Miner, Gary D., Linda Miner, and Darrell L. Dean. HEALTHCARE's OUT SICK - PREDICTING a CURE - Solutions That WORK !!!!: Predictive Analytic Modeling, Decision Making, INNOVATIONS and Precision Medicine Necessary to Correct the Broken Healthcare Delivery System. Productivity Press, 2019.

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32

Miner, Gary D., Linda Miner, and Darrell L. Dean. HEALTHCARE's OUT SICK - PREDICTING a CURE - Solutions That WORK !!!!: Predictive Analytic Modeling, Decision Making, INNOVATIONS and Precision Medicine Necessary to Correct the Broken Healthcare Delivery System. Productivity Press, 2019.

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33

HEALTHCARE's OUT SICK - PREDICTING a CURE - Solutions That WORK !!!!: Predictive Analytic Modeling, Decision Making, INNOVATIONS and Precision Medicine Necessary to Correct the Broken Healthcare Delivery System. Taylor & Francis Group, 2019.

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34

Hill, Thomas, Joseph Hilbe, Mitchell Goldstein, Linda Miner, and Pat Bolding. Practical Predictive Analytics and Decisioning Systems for Medicine: Informatics Accuracy and Cost-Effectiveness for Healthcare Administration and Delivery Including Medical Research. Elsevier Science & Technology Books, 2016.

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35

Nisbet, Robert, Gary D. Miner, Mitchell Goldstein, Linda A. Miner, and Nephi Walton. Practical Predictive Analytics and Decisioning Systems for Medicine: Informatics Accuracy and Cost-Effectiveness for Healthcare Administration and Delivery Including Medical Research. Elsevier Science & Technology Books, 2014.

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36

Practical Predictive Analytics and Decisioning Systems for Medicine: Informatics Accuracy and Cost-Effectiveness for Healthcare Administration and Delivery Including Medical Research. Elsevier Science & Technology Books, 2014.

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37

Nisbet, Robert, Gary Miner, Mitchell Goldstein, Scott Burk, and Linda A. Miner. Practical Data Analytics for Innovation in Medicine: Building Real Predictive and Prescriptive Models in Healthcare and Medical Research Using AI, ML, and Related Technologies. Elsevier Science & Technology Books, 2022.

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38

Nisbet, Robert, Gary D. Miner, Mitchell Goldstein, Scott Burk, and Linda A. Miner. Practical Data Analytics for Innovation in Medicine: Building Real Predictive and Prescriptive Models in Healthcare and Medical Research Using AI, ML, and Related Technologies. Elsevier Science & Technology, 2022.

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39

Basu, Sanjay. Fundamentals. Edited by Sanjay Basu. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190667924.003.0001.

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In this chapter, the author defines and provides examples of several key terms used in public health and healthcare modeling research. The chapter begins by clarifying the differences between key terms used to describe rates of disease (incidence, prevalence, and mortality) as well as the performance characteristics of tests used to detect disease (sensitivity, specificity, positive predictive value, and negative predictive value), prevent or treat disease (odds ratios, relative risks), understand studies (case-control, cohort, and randomized controlled trials), and avoid common study problems

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40

Garg, Adarsh, and D. P. Goyal. Global Healthcare Disasters: Predicting the Unpredictable with Emerging Technologies. Apple Academic Press, Incorporated, 2022.

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41

Garg, Adarsh, and D. P. Goyal. Global Healthcare Disasters: Predicting the Unpredictable with Emerging Technologies. Apple Academic Press, Incorporated, 2022.

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42

Garg, Adarsh, and D. P. Goyal. Global Healthcare Disasters: Predicting the Unpredictable with Emerging Technologies. Apple Academic Press, Incorporated, 2022.

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43

Garg, Adarsh, and D. P. Goyal. Global Healthcare Disasters: Predicting the Unpredictable with Emerging Technologies. Apple Academic Press, Incorporated, 2022.

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44

Garg, Adarsh, and D. P. Goyal. Global Healthcare Disasters: Predicting the Unpredictable with Emerging Technologies. Apple Academic Press, Incorporated, 2022.

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45

McDougal, Tom. Predicting Patient Decisions: An Economics Handbook for Healthcare Professionals. Independently Published, 2020.

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46

Kupera, Geoffrey Takura. Predicting healthcare practitioners' research use: Applications of theory of planned behaviour. 2003.

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47

Winters-Miner, Linda A., Gary Miner, and Darrell L. Dean. Healthcare's Out Sick - Predicting a Cure - Solutions That Work !!!! Taylor & Francis Group, 2021.

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48

Utilizing prediction analytics in the optimal design and control of healthcare systems. [publisher not identified], 2022.

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49

Kim, Desok. Development of Computer Aided Prediction Technology for Paroxysmal Atrial Fibrillation in Mobile Healthcare. INTECH Open Access Publisher, 2012.

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50

Sangeetha, V., and S. Kevin Andrews. Introduction to Artificial Intelligence and Neural Networks. Magestic Technology Solutions (P) Ltd, Chennai, Tamil Nadu, India, 2023. http://dx.doi.org/10.47716/mts/978-93-92090-24-0.

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Artificial Intelligence (AI) has emerged as a defining force in the current era, shaping the contours of technology and deeply permeating our everyday lives. From autonomous vehicles to predictive analytics and personalized recommendations, AI continues to revolutionize various facets of human existence, progressively becoming the invisible hand guiding our decisions. Simultaneously, its growing influence necessitates the need for a nuanced understanding of AI, thereby providing the impetus for this book, “Introduction to Artificial Intelligence and Neural Networks.” This book aims to equip it

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