Threshold Decision-Making in Clinical Medicine: With Practical Application to Hematology and Oncology

Djulbegovic, Benjamin, Hozo, Iztok

Threshold Decision-Making in Clinical Medicine: With Practical Application to Hematology and Oncology
  • 出版商: Springer
  • 出版日期: 2024-10-05
  • 售價: $3,010
  • 貴賓價: 9.5 折 $2,860
  • 語言: 英文
  • 頁數: 138
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3031379950
  • ISBN-13: 9783031379956

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This book aims to provide threshold models to help physicians to make optimal diagnostic, therapeutic and predictive decisions. Readers will not only find theoretical information but also practical examples illustrating how these decisions should be made.

Poor decision-making is considered a leading cause of death in contemporary medicine. Decisions, however, have to be made - at a given threshold of risk and unfortunately physicians are not trained on how to make decisions. This book provides help to all those who want to improve their decision-making for a better patient outcome. With its examples from hematology and oncology the book will not only benefit haematologists and oncologists but physicians from all disciplines, hence the threshold model is applicable to all fields in medicine. This book will be useful to experienced physicians as well as trainees alike.

商品描述(中文翻譯)

本書旨在提供閾值模型，以幫助醫師做出最佳的診斷、治療和預測決策。讀者不僅能找到理論資訊，還能看到實際範例，說明這些決策應如何做出。

不良的決策被認為是當代醫學中主要的死亡原因。然而，決策必須在特定的風險閾值下做出，遺憾的是，醫師並未接受如何做出決策的訓練。本書為所有希望改善決策以獲得更好病人結果的人提供幫助。透過血液學和腫瘤學的範例，本書不僅將使血液學家和腫瘤學家受益，還將惠及所有學科的醫師，因此閾值模型適用於醫學的所有領域。本書對於經驗豐富的醫師以及實習生都將是有用的。

作者簡介

Benjamin Djulbegovic is a Professor at City of Hope. His main academic and research interest lies in attempts to measure and optimize clinical research and practice of medicine by understanding both, the nature of medical evidence and decision-making. His work aims to integrate methods and techniques across evidence-based medicine (EBM), predictive analytics, health outcome research, and decision-sciences with the goal of improvement of health care. Dr. Djulbegovic has systematically applied science of EBM and decision analysis to the entire fields of hematology and oncology that resulted in two books; the book on "Reasoning and decision-making in hematology" was listed one of the best books by J Natl Cancer Inst and the book "Decision Making in Oncology. Evidence-based management" was assessed as "one of the first and best attempts to apply an evidence-based approach to the practice of medical oncology". As of September 2020, he has published over 350 papers inpeer-reviewed journals, 195 abstracts and numerous book chapters. He also received numerous awards for his work, which has also been published in major scientific and medical journals including Nature, Lancet, JAMA, New England Journal of Medicine, etc. He has also widely taught on these subjects. He was also selected in the Newsweek's list of Top Cancer Doctors and since 2011 continuously selected in 1% of top US doctors by the US News & World Report in the field of hematology. His current h-index is 69; in 2018 he is included in the list of highly cited researchers which "recognizes world-class researchers selected for their exceptional research performance, demonstrated by production of multiple highly cited papers that rank in the top 1% by citations for field and year in Web of Science."

Iztok Hozo is a Professor at Indiana University Northwest. After completing his doctoral thesis in applied mathematics at University of Michigan, his main research interests became applications of mathematical modelling and decision theory in Medical applications. Mainly collaborating with Dr. Djulbegovic, he published 75 articles in peer-reviewed scientific journals.

In addition to receiving several Indiana University awards for excellence in research, Dr. Hozo won prestigious teaching awards in recognition of his expertise in the classroom and curriculum development.
He is a mathematician capable of translating real scientific and medical problems into mathematical language. His mathematical acumen has enabled him to tackle the vast array of diverse medical problems. Over the years he has made contribution to statistical analysis of clinical data and improvement in techniques of meta-analysis, tackled the issues of diagnostic tests using information theory approach, recast the issue of clinical trials from game theory point of view, developed new methods for decision-making, including a novel method based on mathematical modelling of regret, and helped develop the first mathematical model of decision-making that is based on dual processing theory and developed a new theory called acceptable regret, which could explain many phenomena in the diagnostic and treatment decisions in medicine.
According to Google Scholar, his current h-index is 25. One of his published articles has over 4200 citations (written jointly with Dr. Djulbegovic and Mrs. Pudar-Hozo).

作者簡介(中文翻譯)

本傑明·杜爾貝戈維奇（Benjamin Djulbegovic）是希望之城（City of Hope）的教授。他的主要學術和研究興趣在於通過理解醫療證據的本質和決策過程，來測量和優化臨床研究及醫學實踐。他的工作旨在整合基於證據的醫學（EBM）、預測分析、健康結果研究和決策科學等領域的方法和技術，以改善醫療保健。杜爾貝戈維奇博士系統性地將EBM和決策分析的科學應用於整個血液學和腫瘤學領域，並因此出版了兩本書；其中《血液學中的推理與決策》被《國家癌症研究所雜誌》（J Natl Cancer Inst）評選為最佳書籍之一，而《腫瘤學中的決策：基於證據的管理》則被評估為「將基於證據的方法應用於醫療腫瘤學實踐的首批且最佳嘗試之一」。截至2020年9月，他在同行評審的期刊上發表了超過350篇論文，195篇摘要以及多篇書籍章節。他的工作也獲得了多項獎項，並在《自然》（Nature）、《柳葉刀》（Lancet）、《美國醫學會雜誌》（JAMA）、《新英格蘭醫學雜誌》（New England Journal of Medicine）等主要科學和醫學期刊上發表。他在這些主題上也進行了廣泛的教學。他曾被《新聞周刊》選入頂尖癌症醫生名單，自2011年以來，持續被《美國新聞與世界報導》評選為美國血液學領域前1%的頂尖醫生。他目前的h指數為69；在2018年，他被列入高被引研究者名單，該名單「表彰因其卓越的研究表現而被選出的世界級研究者，這些研究者的多篇高被引論文在其領域和年份的引用中排名前1%。」

伊茲托克·霍佐（Iztok Hozo）是印第安納大學西北校區的教授。在密西根大學完成應用數學的博士論文後，他的主要研究興趣轉向數學建模和決策理論在醫學應用中的應用。他主要與杜爾貝戈維奇博士合作，發表了75篇同行評審的科學期刊文章。

除了獲得幾項印第安納大學的研究卓越獎外，霍佐博士還因其在課堂和課程開發方面的專業知識而獲得了多項著名的教學獎項。他是一位能夠將真實的科學和醫學問題轉化為數學語言的數學家。他的數學才能使他能夠應對各種多樣的醫學問題。多年來，他對臨床數據的統計分析和元分析技術的改進做出了貢獻，利用信息理論方法解決診斷測試的問題，從博弈論的角度重新詮釋臨床試驗的問題，開發新的決策方法，包括基於後悔的數學建模的新方法，並幫助開發基於雙重處理理論的首個決策數學模型，並提出了一種稱為可接受後悔的新理論，該理論可以解釋醫學中診斷和治療決策的許多現象。

根據Google Scholar，他目前的h指數為25。他發表的一篇文章被引用超過4200次（與杜爾貝戈維奇博士和普達爾-霍佐女士共同撰寫）。

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