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