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E-grāmata: Stochastic Medical Reasoning and Environmental Health Exposure [World Scientific e-book]

(Chinese Academy Of Science, China), (Zhejiang Univ, China), (San Diego State Univ, Usa)
  • Formāts: 356 pages
  • Izdošanas datums: 12-May-2014
  • Izdevniecība: Imperial College Press
  • ISBN-13: 9781908977502
  • World Scientific e-book
  • Cena: 136,18 €*
  • * this price gives unlimited concurrent access for unlimited time
  • Formāts: 356 pages
  • Izdošanas datums: 12-May-2014
  • Izdevniecība: Imperial College Press
  • ISBN-13: 9781908977502
The validity of certain critical reasoning steps carried out during or on the sidelines of the environmental science, public health survey, medical experiment, population risk assessment, or disease space–time mapping under conditions of in situ uncertainty and space–time heterogeneity, is often not given sufficient attention and may even be out of the investigator's line of thought. For example, the technical complexity of an environmental exposure experiment may overshadow the logical assumptions made when moving from one phase of the experiment to the next, or the study of population risk assessment may focus on analytical and computational matters, whereas methodological and cultural factors are neglected.This book helps health investigators structure their thinking so that they avoid logical mistakes and argument pitfalls, and also gain new insights about reality, improve their awareness of the environment and context within which one's thinking takes place.
Preface xi
Chapter 1 Medical Sciences in the Age of Synthesis 1(38)
1.1 Professional Practice and Stochastic Medical Reasoning
1(18)
1.1.1 Synthesis in medical sciences
1(4)
1.1.2 Environmental health and geomedicine
5(4)
1.1.3 On ancient Greek and Chinese medicine
9(3)
1.1.4 Decision-making in conditions of in situ uncertainty
12(2)
1.1.5 A brief note on logical thinking in ancient Greece and China
14(2)
1.1.6 Enter stochastic medical reasoning
16(3)
1.2 Health: The Fundamental Roles of Space-Time and Uncertainty
19(4)
1.3 Abstract and Concrete Modes of Thinking
23(2)
1.4 Issues of Sound Medical Decision-Making
25(11)
1.4.1 Key elements of a medical investigation
26(4)
1.4.2 Reflection, recognition primed decision and robust' decision methods
30(3)
1.4.3 Algorithmic medical decision-making methods
33(1)
1.4.4 Does expert knowledge translate into expert judgment?
34(2)
1.5 Medical Dialectics and Knowledge Synthesis: An Outline
36(3)
Chapter 2 Reasoning Amidst Uncertainty 39(102)
2.1 When "To Know" Means "To Be Uncertain Of"
39(8)
2.1.1 Common medical reasoning errors
39(3)
2.1.2 Physician's language and metalanguage
42(2)
2.1.3 The notion of knowledge base
44(3)
2.2 The Space-Time Domain of Stochastic Medical Reasoning
47(6)
2.2.1 Location-time coordinates and metric
47(4)
2.2.2 The spatiotemporal random field model
51(2)
2.3 In Situ Logic and Uncertain Mind States
53(26)
2.3.1 How much a health care provider does not know: Ontic and epistemic uncertainty
54(2)
2.3.2 Appreciating case individuality and legal disputes
56(2)
2.3.3 Case communication uncertainty: Entitled to their own opinions but not to their own facts
58(2)
2.3.4 Formal vs. in situ logic
60(3)
2.3.5 From state of nature to state of mind (assertion)
63(8)
2.3.6 Ranking of assertion forms
71(3)
2.3.7 The Three Qs of the triadic case formula
74(2)
2.3.8 Uncertainty factors: A review
76(3)
2.4 SMR's View of Medical Connectives: Beyond Drug Digestion
79(6)
2.4.1 Conversational (dialogical) connective interpretation
80(3)
2.4.2 Content-dependent vs. content-independent connectives
83(2)
2.5 Natural Laws and Scientific Models
85(14)
2.5.1 Infectious disease and human exposure modeling
86(3)
2.5.2 Medical syllogism and the justification of professional assertions
89(5)
2.5.3 Reconstructing Chinese arguments in terms of Greek syllogisms
94(2)
2.5.4 Revisiting content-dependent and content-independent assertions
96(3)
2.6 Substantive Conditionals in Medical Thinking
99(22)
2.6.1 The notion of content-dependent conditional
100(5)
2.6.2 Paradoxes of mainstream logic
105(9)
2.6.3 Conditionals and metalanguage
114(3)
2.6.4 Conditionals and natural laws
117(2)
2.6.5 Over-extending and extrapolating
119(2)
2.7 The Object Language-Metalanguage Connection
121(20)
2.7.1 Relations between states
122(9)
2.7.2 Combinations of medical inferences and derivative assertions
131(2)
2.7.3 Levels of justification and uncertainty
133(5)
2.7.4 Does postmodern decision analysis make sense?
138(3)
Chapter 3 The Role of Probability 141(108)
3.1 How Much Understanding is Sufficient in Medical Investigations?
141(7)
3.1.1 Medical assertions and partial understanding
141(3)
3.1.2 On rationality and belief
144(1)
3.1.3 Knowledge theory revisited: Platonism, context and continuity in medical thinking
145(2)
3.1.4 Concerning medical expertise
147(1)
3.2 Space-Time Probabilities of Medical Cases
148(16)
3.2.1 Common probability interpretations in health care practice
148(4)
3.2.2 Probability of a case assertion (mind state)
152(3)
3.2.3 Basic probability rules
155(2)
3.2.4 Probability interpretations in object language and metalanguage
157(4)
3.2.5 Body of evidence and medical interventions
161(3)
3.3 Probabilities of Medical Conditionals
164(22)
3.3.1 Standard logical relations and inference rules
164(2)
3.3.2 Choosing a conditional probability form
166(10)
3.3.3 Stochastic truth tables: A second look
176(5)
3.3.4 More on probability calculation: Is there a probameter?
181(5)
3.4 Stochastic Medical Inferences
186(19)
3.4.1 From standard to stochastic syllogisms
187(12)
3.4.2 Premise strengthening, internally consistent and uninformative inferences
199(6)
3.5 Probability, Uncertainty and Information of Diagnoses or Prognoses Sets
205(6)
3.6 Diagnosis Ranking and Symptom Confirmation Strength
211(6)
3.6.1 Quantitative case parameters
212(3)
3.6.2 Principles of medical practice and their quantitative expressions
215(2)
3.7 The Trouble with Medical Probability
217(5)
3.8 Translating Medical Assertions into Probabilistic Terms
222(7)
3.9 Space-Time Reasoning Dynamics
229(11)
3.9.1 Changes in assertions and substantive conditionals
229(6)
3.9.2 Probability dynamics and hypothesis confirmation
235(3)
3.9.3 The case of non-monotonic medical reasoning
238(2)
3.10 Medical Syllogisms Involving Likelihood Ratios
240(2)
3.11 Summing Up: Checking the Validity of Medical Arguments
242(2)
3.12 Self-Referential Medical Assertions and Cognitive Favorability
244(3)
3.13 Not Just a Set of Guidelines
247(2)
Chapter 4 Space-Time Medical Mapping and Causation Modeling 249(44)
4.1 Techniques With a "Health Warning"
249(1)
4.2 Space-Time Disease Mapping
250(14)
4.2.1 Objealves of medical mapping
251(2)
4.2.2 The fundamental mapping equations
253(3)
4.2.3 The insight behind the BME-SIR equations
256(2)
4.2.4 A study of French flu
258(6)
4.3 Modeling Space-Time Infectious Disease Spread
264(4)
4.4 Space-Time Causation Revisited
268(3)
4.5 Medical Causation in the SMR Inference Setting
271(18)
4.5.1 Defining the problem
272(5)
4.5.2 The role of KB and the interpretation of probabilistic causation
277(3)
4.5.3 Causation: Epistemic vs. non-epistemic
280(3)
4.5.4 Some remarks regarding the form of the causation conditional
283(2)
4.5.5 Stochastic causal inferences
285(2)
4.5.6 The role of secondary case attributes
287(2)
4.6 Causation in Terms of Integrative Space-Time Prediction
289(2)
4.7 Causation Justification and the Dualistic Opposition
291(2)
Chapter 5 Looking Ahead 293(22)
5.1 An Ibsenian Transformation
293(3)
5.2 SMR and Divergence of Rationality in Medical Thinking
296(2)
5.3 Challenges Emerging from the Incompleteness Principle and Unanticipated Knowledge
298(4)
5.4 Information Technology-Based Medical Reasoning
302(2)
5.5 Social and Cultural Dimensions of Medical Thinking
304(4)
5.6 Quod Iacet Ante?
308(7)
Bibliography 315(16)
Index 331