| 000 | 02758nam a22003135i 4500 | ||
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| 001 | 402702 | ||
| 003 | ES-MaUEC | ||
| 005 | 20240528105921.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 231003s2023 sz | o |||| 0|eng d | ||
| 020 | _a9783031379932 | ||
| 024 | 7 |
_a10.1007/978-3-031-37993-2 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
||
| 050 | 4 |
_aRC254-282 _b2023 EB |
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| 100 | 1 |
_aDjulbegovic, Benjamin. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 245 | 0 | 0 |
_aThreshold Decision-making in Clinical Medicine : _bWith Practical Application to Hematology and Oncology _cby Benjamin Djulbegovic, Iztok Hozo |
| 250 | _a1st ed. 2023 | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2023 |
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| 300 | _a1 recurso en línea | ||
| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 490 | 0 |
_aCancer Treatment and Research _x2509-8497 ; _v189 |
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| 505 | 0 | _aEvidence and decision-making -- Evidence-based summary measures -- Making decisions when diagnosis is certain: Under expected utility theory -- Under regret theory -- Under dual processing theory -- Hybrid model -- Making decisions when diagnosis is uncertain: Under expected utility theory -- Under regret theory -- Under dual processing theory -- Hybrid model -- Using predictive modelling to tailor therapy -- Under expected utility theory -- Under regret theory -- Heuristic decision-making: fast-and-frugal tree -- Conclusions: future of decision-making in oncology and hematology -- Artificial intelligence vs standard decision theories. | |
| 520 | _aThis 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. | ||
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-37993-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 988 | _aSpringer_Medicine_2023 | ||
| 999 |
_c402702 _d402702 |
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