LEADER 03892nam  2201045z- 450 
001 9910557759303321
005 20210501
035   $a(CKB)5400000000045769
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/68569
035   $a(oapen)doab68569
035   $a(EXLCZ)995400000000045769
100   $a20202105d2021      |y         0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aApplications of Information Theory to Epidemiology
210   $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021
215   $a1 online resource (238 p.)
311 08$a3-0365-0316-1 
311 08$a3-0365-0317-X 
330   $a? Applications of Information Theory to Epidemiology collects recent research findings on the analysis of diagnostic information and epidemic dynamics. ? The collection includes an outstanding new review article by William Benish, providing both a historical overview and new insights. ? In research articles, disease diagnosis and disease dynamics are viewed from both clinical medicine and plant pathology perspectives. Both theory and applications are discussed. ? New theory is presented, particularly in the area of diagnostic decision-making taking account of predictive values, via developments of the predictive receiver operating characteristic curve. ? New applications of information theory to the analysis of observational studies of disease dynamics in both human and plant populations are presented.
606   $aBiology, life sciences$2bicssc
606   $aResearch & information: general$2bicssc
610   $aAsiatic citrus canker
610   $aAtangana-Baleanu derivative
610   $aaverage mutual information
610   $abalance
610   $aBayes' rule
610   $abinormal
610   $aCaputo derivative
610   $aCaputo-Fabrizio derivative
610   $adeployment
610   $adeterministic dynamics
610   $adiagnostic information
610   $adiagnostic test
610   $adirect assay
610   $aearly detection
610   $aEbola model
610   $aempirical
610   $aentropy
610   $aepidemic model
610   $aevaluation
610   $aexpected mutual information
610   $afield diagnostic
610   $aFisher scoring algorithm
610   $aforecast
610   $aHIV/AIDS epidemic
610   $ainformation theory
610   $aJensen-Shannon divergence
610   $alatent class
610   $aleaf plot
610   $alikelihood ratio
610   $amultiple diagnostic tests
610   $amutual information
610   $an/a
610   $anegative predictive value
610   $aNewton-Raphson procedure
610   $anumerical results
610   $aobservational study
610   $apositive predictive value
610   $apredictive ROC curve
610   $aprevalence
610   $aprobability
610   $aPROC curve
610   $aPV-ROC curve
610   $aregression model
610   $arelative entropy
610   $aROC curve
610   $ascent signature
610   $aselection bias
610   $asensitivity
610   $aShannon entropy
610   $aspecificity
610   $aSS-ROC curve
610   $aSS/PV-ROC plot
610   $astochastic processes
610   $atime series
610   $atransient behavior
610   $aurinary bladder cancer
610   $avaccination and treatment intervention controls
615  7$aBiology, life sciences
615  7$aResearch & information: general
700   $aHughes$b Gareth$4edt$01299456
702   $aHughes$b Gareth$4oth
906   $aBOOK
912   $a9910557759303321
996   $aApplications of Information Theory to Epidemiology$93025186
997   $aUNINA