By Arnošt Veselý, Igor Vajda (auth.)

**Read Online or Download Linear Adaptive Decision Functions and Their Application to Clinical Decision: Course Held at the Department for Automation and Information June–July 1971 PDF**

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**Extra resources for Linear Adaptive Decision Functions and Their Application to Clinical Decision: Course Held at the Department for Automation and Information June–July 1971**

**Example text**

Decision {)' 0 is accepted by which the space n= D can be extended. ;, .. 2) [~1> .. >~~ -~~- when ö (~I W) .. ,'~~+~, ... )~k] -3'~ ~ { 1't\ {)' 0 } = When this rule is modified in the following way: [~1 ' ... '~ ~ + p. ~' •.. Y 1, ... ' ~ ~ + ; when ' ••• =- ,er~ '~ ~ + ~ , ••. '1 , ... -, .. -,~~+~, ... V). 1. 3) It is evident, that in S(JJ-,v) is concieved as correct decision whereas in rect one. a-o the actual decision has to be made in another way than by means of LADF. LE [0,1],v e [O,+oo) only.

T, 1 = 1,2, ... , m , empirical effectivenesses corresponding to all the LADF are compared. The princi- ple of the program can also be seen from the flow chart. It should be specified in the program which of the LADF is going to be verified and how v or M are to be specified. Further we must specify integers k, m, n and the sample sizes Kand N1 < Nz < ••.

1970 CONTENTS page Preface••••••••••••••••••••••••••••••••••••••••••••••• 3 1. General Decision Model••••••••••••••••••••••••••••• 7 2. Adaptive Decision Functions•••••••••••••••••••••••• 15 3. Clinical Decision•••••••••••••••••••••••••••••••••• 24 4. LADF for Diagnostic Discussion••••••••••••••••••••• 30 5.