利用 AI 改善医疗保健服务：诊断和规范性推荐系统.pdf

1、Improving Healthcare Delivery with AI:A Diagnostic and Prescriptive Recommender System 5thBig Data Health Science ConferenceColumbia,SC.Feb 2-3,2024Damilare Ogungbesan Dr.Misagh FaezipourHealthcare Informatics Program,Department of Engineering TechnologyMiddle Tennessee State University(MTSU)Gap bet

2、ween healthcare demand and available healthcare professionalsGlobal ageingRise in chronic diseasesIncrease in Health challengesRise in Healthcare demandIncrease in patients waiting timeIncrease in demand of Healthcare professionalsIncrease in number of patientsWhat could be the solution?Increase in

3、health service efficiency?Problem Description 2Solution Healthcare ProfessionalsArtificial IntelligenceImproved Healthcare Efficiency3 Develop an AI based diagnostic system Integrate electronic health record in to the system Validate and assess accuracy of the systemObjectives 4NameDate of BirthGend

4、erSymptomsCausesDiseaseMedicineJohn Doe05-15-1980MaleFever,CoughViral infectionCommon ColdIbuprofen,RestJane Smith08/10/1992FemaleHeadache,fatigueStressMigraineSumatriptanElectronic health recordRandom Forest Model Obtain electronic health record in form of dataset Create an AI model and train the m

5、odel with the dataMethodology 56Methodology-workings 7Methodology-workings 8Methodology-workings Data cleaning and encoding9Methodology-workings 10Methodology-workings Result Electronic Health Record Dataset Size 287 rows Machine Learning Model Random Forest Disease Diagnosis Prediction Accuracy-81.

6、63%Medicine Prescription Prediction Accuracy 87.75%11Result 12Confusion Matrix for Diagnostic PredictionResult 13Confusion Matrix for Prescriptive PredictionThe integration of artificial intelligence with healthcare delivery holds significa