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Готові списки джерел за темами / Complication prediction / Книги

Щоб переглянути інші типи публікацій з цієї теми, перейдіть за посиланням: Complication prediction.

Книги з теми "Complication prediction"

Автор: Grafiati

Опубліковано: 7 червня 2025

Оновлено: 2 серпня 2025

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Ознайомтеся з топ-39 книг для дослідження на тему "Complication prediction".

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1

Nguyen, Phong. Assessment of maximum oxygen consumption (MVo2/ Vo2max) as a predictor of postoperative complications. Laurentian University, 2003.

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2

Weber, Randal S. A model for predicting transfusion requirements in head and neck surgery. American Laryngological, Rhinological and Otological Society, 1995.

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3

BEREZhNOY, Aleksandr, Svetlana DUNAEVSKAYa, and Yuriy VINNIK. Prognosis of postoperative course of urolithiasis. INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1863093.

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Анотація:

The monograph devoted to the study of urolithiasis consistently highlights the issues of etiology, classification, diagnosis and modern principles of treatment of urolithiasis. The problems of postoperative complications in surgery and urology are considered as a separate issue, data on original methods for predicting the development of hemorrhagic or inflammatory complications in the postoperative period with urolithiasis are presented. Special attention is paid to the issues of nonspecific immune protection, immune status indicators and hemostasis system in the development of complications i

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4

Bradley, M. J. The determination of serum superoxide free radical generation and its possible role as a predictor of late onset diabetic complications. The Author], 1993.

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5

United States. President's Cancer Panel. Meeting. President's Cancer Panel Meeting: The human genome project and disease prediction. National Institutes of Health, National Cancer Institute, 1995.

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6

Chistyakova, Guzel, Lyudmila Ustyantseva, Irina Remizova, Vladislav Ryumin, and Svetlana Bychkova. CHILDREN WITH EXTREMELY LOW BODY WEIGHT: CLINICAL CHARACTERISTICS, FUNCTIONAL STATE OF THE IMMUNE SYSTEM, PATHOGENETIC MECHANISMS OF THE FORMATION OF NEONATAL PATHOLOGY. AUS PUBLISHERS, 2022. http://dx.doi.org/10.26526/monography_62061e70cc4ed1.46611016.

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The purpose of the monograph, which contains a modern view of the problem of adaptation of children with extremely low body weight, is to provide a wide range of doctors with basic information about the clinical picture, functional activity of innate and adaptive immunity, prognostic criteria of postnatal pathology, based on their own research. The specific features of the immunological reactivity of premature infants of various gestational ages who have developed bronchopulmonary dysplasia (BPD) and retinopathy of newborns (RN) from the moment of birth and after

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7

Spong, Catherine Y. Stillbirth: Prediction, Prevention and Management. Wiley & Sons, Limited, John, 2011.

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8

Spong, Catherine Y. Stillbirth: Prediction, Prevention and Management. Wiley & Sons, Incorporated, John, 2011.

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9

Spong, Catherine Y. Stillbirth: Prediction, Prevention and Management. Wiley & Sons, Incorporated, John, 2011.

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10

Spong, Catherine Y. Stillbirth: Prediction, Prevention and Management. Wiley & Sons, Incorporated, John, 2011.

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11

Stillbirth: Prediction, prevention, and management. Wiley-Blackwell, 2011.

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12

Satishkumar, D., and P. Maniiarasan. Technological Tools for Predicting Pregnancy Complications. IGI Global, 2023.

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13

Satishkumar, D., and P. Maniiarasan. Technological Tools for Predicting Pregnancy Complications. IGI Global, 2023.

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14

Satishkumar, D., and P. Maniiarasan. Technological Tools for Predicting Pregnancy Complications. IGI Global, 2023.

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15

Leeuw, P. W. de, L. L. H. Peeters, and E. D. Post Uiterweer. Pathophysiology of pregnancy complications: Roadmap to early prediction and prevention. Bohn Stafleu van Loghum, 2021.

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16

Berghella, Vincenzo, Gian Carlo Di Renzo, Moshe Hod, Mary D'Alton, and Eduard Gratacos. New Technologies and Perinatal Medicine: Prediction and Prevention of Pregnancy Complications. Taylor & Francis Group, 2019.

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17

Berghella, Vincenzo, Gian Carlo Di Renzo, Moshe Hod, Mary D'Alton, and Eduard Gratacos. New Technologies and Perinatal Medicine: Prediction and Prevention of Pregnancy Complications. Taylor & Francis Group, 2019.

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18

Berghella, Vincenzo, Gian Carlo Di Renzo, Moshe Hod, Mary D'Alton, and Eduard Gratacos. New Technologies and Perinatal Medicine: Prediction and Prevention of Pregnancy Complications. Taylor & Francis Group, 2019.

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19

Berghella, Vincenzo, Gian Carlo Di Renzo, Moshe Hod, Mary D'Alton, and Eduard Gratacos. New Technologies and Perinatal Medicine: Prediction and Prevention of Pregnancy Complications. Taylor & Francis Group, 2019.

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20

ManiIarasan, P. Predicting Pregnancy Complications Through Artificial Intelligence and Machine Learning. IGI Global, 2023.

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21

ManiIarasan, P. Predicting Pregnancy Complications Through Artificial Intelligence and Machine Learning. IGI Global, 2023.

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22

Perinatal risk and infant development: Assessment and prediction. Guilford Press, 1989.

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23

Chao, Yann-Fen Chiou. A PREDICTIVE SCORING SYSTEM FOR SELECTED COMPLICATIONS OF ICU PATIENTS. 1991.

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24

Alvarez, Maria Jose Montes. Predictive parameters for macroangiopathy complications in insulin-dependent type diabetes mellitus. ProQuest / UMI, 2007.

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25

Alvarez, Maria Jose Montes. Predictive parameters for macroangiopathy complications in insulin-dependent type diabetes mellitus. ProQuest / UMI, 2007.

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26

Habib, Gilbert, Franck Thuny, Guy Van Camp, and Simon Matskeplishvili. Endocarditis. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198726012.003.0041.

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Анотація:

Echocardiography plays a key role in the assessment of infective endocarditis (IE). It is useful both for the diagnosis of endocarditis, the assessment of the severity of the disease, the prediction of short-term and long-term prognosis, the prediction of embolic risk, the management of the complications of endocarditis, and the follow-up of patients under specific antibiotic therapy. The Task Force on the Prevention, Diagnosis, and Treatment of Infective Endocarditis of the European Society of Cardiology and the ‘Recommendations for the practice of echocardiography in infective endocarditis’

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27

Habib, Gilbert, and Franck Thuny. Infective endocarditis. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780199599639.003.0018.

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Echocardiography plays a key role in the assessment of infective endocarditis. It is useful for the diagnosis of endocarditis, the assessment of severity of the disease, the prediction of short-term and long-term prognosis, the prediction of embolic risk, the management of the complications of endocarditis, and the follow-up of patients under specific antibiotic therapy.The ‘Guidelines on the prevention, diagnosis, and treatment of infective endocarditis’ of the European Society of Cardiology and the ‘Recommendations for the practice of echocardiography in infective endocarditis’ of the Europe

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28

Underwood, Patricia Whitenight. PSYCHOSOCIAL VARIABLES: THEIR PREDICTION OF BIRTH COMPLICATIONS AND RELATION TO PERCEPTION OF CHILDBIRTH (LIFE STRESS, SOCIAL SUPPORT, COPING, COMMITMENT). 1986.

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29

Mills, Gary H. Pulmonary disease and anaesthesia. Edited by Philip M. Hopkins. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199642045.003.0082.

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Respiratory adverse events are the commonest complications after anaesthesia and have profound implications for the recovery of the patient and their subsequent health. Outcome prediction related to respiratory disease and complications is vital when determining the risk:benefit balance of surgery and providing informed consent. Surgery produces an inflammatory response and pain, which affects the respiratory system. Anaesthesia produces atelectasis, decreases the drive to breathe, and causes muscle weakness. As the respiratory system ages, closing capacity increases and airway closure becomes

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30

Mylopoulos, Myrto, and Tony Ro. Synesthesia and Consciousness. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199688289.003.0006.

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While interest in synesthesia among cognitive scientists has been steadily increasing in recent years, one question remains relatively unexplored: what is the relationship between synesthesia and consciousness? In this chapter, we consider some central aspects of this relationship and focus our discussion on two main questions. First, we explore the question of whether synesthesia can occur unconsciously. We identify some complications that arise in interpreting some of the relevant empirical results, and then endorse an affirmative answer to this question based on the limited findings availab

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31

Kendrisic, Mirjana, and Borislava Pujic. Endocrine and autoimmune disorders. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198713333.003.0047.

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Advanced maternal age and increasing numbers of women of childbearing age with endocrine and autoimmune disorders have become the challenge for both anaesthetists and obstetricians. Genetic studies have provided new insight into underlying causes of endocrine disorders and prenatal prediction of inheritance. The expression of endocrine disease may influence the interpretation of diagnostic laboratory testing during pregnancy. Better understanding of the pathophysiological mechanisms enables new therapeutic approaches which can compromise pregnancy outcome. Although only a small number of drugs

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32

Kobayashi, Bruce. Economics of Litigation. Edited by Francesco Parisi. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199684250.013.006.

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This chapter examines the basic model of the law and economics of litigation, focusing on private civil litigation, in particular the litigation value of a lawsuit and the incentives for filing a suit. It begins with the one-stage single plaintiff/single defendant investment model of litigation, and describes the conditions for filing, default, settlement, and litigation. It examines the effects of litigation cost- and fee-shifting and the effects of percentage contingency fee arrangements within the standard one-stage model. The model is modified to take into account sequencing and option val

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33

Snider, Laurie Margaret. Predictors of preschool performance skills of extremely low birth weight children at three years of age. 1997.

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34

Dodds, Chris, Chandra M. Kumar, and Frédérique Servin. Intensive care and the elderly. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198735571.003.0012.

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Age is not an independent predictor for poor outcome from intensive care. This chapter reviews admission criteria for the elderly and the assessment of likely outcome including the differences between traumatic or surgical admissions against medical ones. Pre-existing comorbidities all limit functional recovery, and only about 60% of elderly patients get back to their preadmission level of activity, although this may not detract from their perceived quality of life. Potential bias in the use of quality-of-life measures by clinical staff is discussed. Information on the identification of futili

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35

Moulton, Calum D. Novel pharmacological targets. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198789284.003.0013.

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There is a bidirectional relationship between depression and type 2 diabetes (T2D). Patients with comorbid depression and T2D are at high risk of complications and premature mortality. Conventional treatments for depression do not consistently improve diabetes outcomes, despite improving depressive symptoms. Shared mechanisms may underpin both depression and T2D, providing novel pharmacological targets to treat both conditions simultaneously. There are several candidate pathways. For inflammation and vitamin D deficiency, there is good cross-sectional evidence to support an association with de

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36

Rubin, Donald, Xiaoqin Wang, Li Yin, and Elizabeth Zell. Bayesian causal inference: Approaches to estimating the effect of treating hospital type on cancer survival in Sweden using principal stratification. Edited by Anthony O'Hagan and Mike West. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.013.24.

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This article discusses the use of Bayesian causal inference, and more specifically the posterior predictive approach of Rubin’s causal model (RCM) and methods of principal stratification, in estimating the effects of ‘treating hospital type’ on cancer survival. Using the Karolinska Institute in Stockholm, Sweden, as a case study, the article investigates which type of hospital (large patient volume vs. small volume) is superior for treating certain serious conditions. The study examines which factors may reasonably be considered ignorable in the context of covariates available, as well as non-

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37

Skipworth, James R. A., and Stephen P. Pereira. Pathophysiology, diagnosis, and assessment of acute pancreatitis. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0190.

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The incidence of acute pancreatitis continues to increase, but the attendant mortality has not decreased for >30 years. The pathogenesis remains poorly understood, but the initial mechanism appears to be intracellular activation of pancreatic enzymes, with micro- and macrovascular dysfunction, in conjunction with a systemic inflammatory response acting as a key propagating factor and determinant of severity. A multitude of causes or initiators exist, but there is a common pathophysiological pathway. The use of conventional scoring systems, combined with repeated clinical and laboratory asse

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38

O’Mahony, Constantinos. Hypertrophic cardiomyopathy: prevention of sudden cardiac death. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198784906.003.0354.

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Sudden cardiac death (SCD) secondary to ventricular arrhythmias is the most common mode of death in hypertrophic cardiomyopathy (HCM) and can be effectively prevented with an implantable cardioverter defibrillator (ICD). The risk of SCD in HCM relates to the severity of the phenotype and regular risk stratification is an integral part of routine clinical care. For the primary prevention of SCD, risk stratification involves the assessment of seven readily available clinical parameters (age, maximal left ventricular wall thickness, left atrial diameter, left ventricular outflow tract gradient, n

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39

Cui, Zhao, Neil Turner, and Ming-hui Zhao. Alport post-transplant antiglomerular basement membrane disease. Edited by Neil Turner. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199592548.003.0075.

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Alport antiglomerular basement membrane (anti-GBM) disease is a rare example of disease caused by allo-sensitization after renal transplantation, first described in 1992. Because the recipient lacks a specific glomerular basement membrane (GBM) protein, they can become sensitized to the normal molecule present in the GBM of the donor kidney. The disease is restricted to the allograft. Interestingly severe disease arises from this only arises rarely, certainly less than 1 in 20, probably closer to 1 in 50. It characteristically causes late graft loss in a first transplant with accelerated tempo

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