| Description |
1 online resource (xxiii, 138 pages) : illustrations (some color) |
| Series |
Cancer Treatment and Research Series ; v.189 |
|
Cancer treatment and research ; v. 189.
|
| Contents |
Intro -- Preface -- Contents -- List of Figures -- 1 Evidence and Decision-Making -- 1.1 Introduction -- 1.2 Evidence-Based Medicine (EBM) -- 1.3 Theories of Decision-Making -- 1.4 Rational Decision-Making -- 1.5 Threshold Model of Decision-Making: The Linchpin Between EBM and Decision-Making -- References -- 2 Making Decisions When No Further Diagnostic Testing is Available -- 2.1 Introduction -- 2.2 Expected Utility Theory Threshold Model -- 2.3 Threshold Model When the Diagnosis Is Not Certain, and Outcomes Are Not Certain |
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2.4 Threshold Models When the Diagnosis Is Certain, but Health Outcomes (Utilities) Are Uncertain -- References -- 3 Making Decisions When no Further Diagnostic Testing is Available (Expected Regret Theory Threshold Model) -- 3.1 Introduction -- 3.2 Acceptable Regret -- References -- 4 Decision-Making When Diagnostic Testing is Available -- 4.1 Introduction -- 4.2 Threshold Modeling When Diagnostic Testing is Available -- References |
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5 Formulating Management Strategies Using Fast-and-Frugal Trees (A Decision Tool to Transform Clinical Practice Guidelines and Clinical Pathways into Decision Support at the Point of Care) -- 5.1 Introduction -- 5.2 Fast-and-Frugal Trees -- References -- 6 Using Decision Curve Analysis to Evaluate Testing and/or Predictive Modeling -- 6.1 Introduction -- 6.2 Illustrative Examples -- References -- 7 Hybrid and Dual-Processing Threshold Decision Models -- 7.1 Hybrid Threshold Model -- 7.2 The Dual-Processing Threshold Model -- References -- 8 Which Threshold Model? -- 8.1 Introduction |
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8.1.1 A Brief Review of the Principles of Medical Decision-Making -- 8.1.2 Different Theoretical Models Generate Different Recommendations -- 8.1.3 Contemporary Clinical Practice Represents an Environment Favoring the Overuse of Diagnostic and Treatment Interventions -- 8.1.4 Simple Versus Complex Models -- 8.1.5 Adhering to Practical Wisdom -- References -- 9 Medical Decision-Making and Artificial Intelligence -- 9.1 Introduction -- 9.2 Machine Learning -- 9.3 Machine Learning and Clinical Care -- 9.4 AI Challenges and Limitations |
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9.5 Statistical and Decision-Theoretical View of Artificial Intelligence Modeling -- 9.6 Conclusions -- References -- Appendix -- A.1 Expected Utility Theory -- A.1.1 A Decision About Treatment (Rx) Versus No Treatment (NoRx): When the Diagnosis (Clinical Event) Is Not Certain and No Further Diagnostic (dx) Test Is Available -- A.1.2 Rx Versus NoRx -- A.1.3 Rx1 Versus Rx2: When Diagnosis Is Not Certain and No Further dx Test Is Available -- A.1.4 Rx1 Versus Rx2: When Diagnosis Is Certain and No Further dx Test Is Available |
| Summary |
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 |
| Bibliography |
Includes bibliographical references |
| Notes |
Description based on online resource; title from digital title page (viewed on November 06, 2023) |
| Subject |
Clinical medicine -- Decision making.
|
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Hematology -- Decision making
|
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Oncology -- Decision making
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Clinical medicine -- Decision making
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Oncology -- Decision making
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| Form |
Electronic book
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| Author |
Hozo, Iztok, author
|
| ISBN |
9783031379932 |
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3031379934 |
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