MachineLearning(ML)haschangedthewayorganizationsandindividualsusedatatoimprovetheefficiencyofasystem.MLalgorithmsallowstrategiststodealwithavarietyofstructured,unstructured,andsemi-structureddata.MachineLearningforHealthcareAnalyticsProjectsispackedwithnewapproachesandmethodologiesforcreatingpowerfulsolutionsforhealthcareanalytics.ThisbookwillteachyouhowtoimplementkeymachinelearningalgorithmsandwalkyouthroughtheirusecasesbyemployingarangeoflibrariesfromthePythonecosystem.Youwillbuildfiveend-to-endprojectstoevaluatetheefficiencyofArtificialIntelligence(AI)applicationsforcarryingoutsimple-to-complexhealthcareanalyticstasks.Witheachproject,youwillgainnewinsights,whichwillthenhelpyouhandlehealthcaredataefficiently.Asyoumakeyourwaythroughthebook,youwilluseMLtodetectcancerinasetofpatientsusingsupportvectormachines(SVMs)andk-Nearestneighbors(KNN)models.Inthefinalchapters,youwillcreateadeepneuralnetworkinKerastopredicttheonsetofdiabetesinahugedatasetofpatients.Youwillalsolearnhowtopredictheartdiseasesusingneuralnetworks.Bytheendofthisbook,youwillhavelearnedhowtoaddresslong-standingchallenges,providespecializedsolutionsforhowtodealwiththem,andcarryoutarangeofcognitivetasksinthehealthcaredomain.