Practical Data Analytics for Innovation in Medicine: Building Real Predictive and Prescriptive Models in Personalized Healthcare and Medical Research Using AI, ML, and Related Technologies

Practical Data Analytics for Innovation in Medicine: Building Real Predictive and Prescriptive Models in Personalized Healthcare and Medical Research Using AI, ML, and Related Technologies, Second Edition discusses the needs of healthcare and medicine in the 21st century, explaining how data analytics play an important and revolutionary role. With healthcare effectiveness and economics facing growing challenges, there is a rapidly emerging movement to fortify medical treatment and administration by tapping the predictive power of big data, such as predictive analytics, which can bolster patient care, reduce costs, and deliver greater efficiencies across a wide range of operational functions. Sections bring a historical perspective, highlight the importance of using predictive analytics to help solve health crisis such as the COVID-19 pandemic, provide access to practical step-by-step tutorials and case studies online, and use exercises based on real-world examples of successful predictive and prescriptive tools and systems. The final part of the book focuses on specific technical operations related to quality, cost-effective medical and nursing care delivery and administration brought by practical predictive analytics. Brings a historical perspective in medical care to discuss both the current status of health care delivery worldwide and the importance of using modern predictive analytics to help solve the health care crisis Provides online tutorials on several predictive analytics systems to help readers apply their knowledge on today's medical issues and basic research Teaches how to develop effective predictive analytic research and to create decisioning/prescriptive analytic systems to make medical decisions quicker and more accurate INDICE: Part I: Historical Perspective and the Issues of Concern for Health Care Delivery in the 21st Century1. History of Medical Health Care Delivery & Basic Medical Research2. Things That Matter !!! - Why This Book?3. Biomedical Informatics4. Access to Data for Analytics - the 'Biggest Issue' in Medical and Healthcare Predictive Analytics5. Regulatory Measures - Agencies, and Data Issues in Medicine and Healthcare6. Personalized Medicine7. Patient-Directed Healthcare8. OMICS or MULTIOMICS9. Challenges and Considerations of AI and GenomicsPart II: Practical Step-by-Step Tutorials and Case StudiesTUTORIAL A Case Study: Imputing Medical Specialty Using Data Mining ModelsTUTORIAL AA: VOC for Cancer Detection / PredictionTUTORIAL B Case Study: Using Association Rules of Investigate Characteristics of Hospital Readmissions TUTORIAL BB Case Study: COVID-19 Descriptive Analysis Around the WorldTUTORIAL C Constructing Decision Trees for Medicare Claims Using R and RattleTUTORIAL D Predictive and Prescriptive Analytics for Optimal Decisioning: Hospital Readmission Risk MitigationTUTORIAL E Obesity Group: Predicting Medicine and Conditions That Achieved the Greatest Weight Loss in a Group of Obese/Morbidly Obese PatientsTUTORIAL F1 Obesity Individual: Predicting Best Treatment or an Individual from Portal Data at a ClinicTUTORIAL F2 Obesity Individual: Automatic Binning of Continuous Variables and WoE to Produce a Better Model than the Hand Binned Stepwise Regression ModelTUTORIAL G Resiliency Study for First- and Second-Year Medical ResidentsTUTORIAL H Medicare Enrollment Analysis Using Visual Data MiningTUTORIAL I Case Study: Detection of Stress-Induced Ischemia in Patients with Chest Pain Rule-Out ACS ProtocolTUTORIAL J1 Predicting Survival or Mortality for Patients with Disseminated Intravascular Coagulation and/or Critical illnessesTUTORIAL J2 Decisioning for DICTUTORIAL K Predicting Allergy SymptomsTUTORIAL L Exploring Discrete Database Networks of TriCare Health Data Using R and ShinyTUTORIAL M Schistosomiasis Data from WHOTUTORIAL N The Poland Medical BundleTUTORIAL O Medical Advice Acceptance PredictionTUTORIAL P Using Neural Network Analysis to Assist in Classifying Neuropsychological DataTUTORIAL Q Developing Interactive Decision Trees using Inpatient Claims (with SAS Enterprise Miner)TUTORIAL R Divining Healthcare Charges for Optimal Health Benefits Under the Affordable Care ActTUTORIAL S Availability of Hospital Beds for Newly Admitted Patients: The Impact of Environmental Services on Hospital ThroughputTUTORIAL T Predicting Vascular Thrombosis: Comparing Predictive Analytic Models and Building an Ensemble Model for Best PredictionTUTORIAL U Predicting Breast Cancer Diagnosis Using Support Vector MachinesTUTORIAL V Heart Disease: Evaluating Variables That Might Have an Effect on Cholesterol Level (Using Recode of Variables Function) TUTORIAL W Blood Pressure Predictive FactorsTUTORIAL X Gene Search and the Related Risk Estimates: A Statistical Analysis of Prostate Cancer DataTUTORIAL Y Ovarian Cancer Prediction via Proteomic Mass SpectrometryTUTORIAL Z Influence of Stent Vendor Representatives in the Catheterization LabPart III: Practical Solutions and Advanced Topics in Administration and Delivery of Health Care Including Practical Predictive Analytics for Medicine1. Challenges for Healthcare Administration and Delivery: Integrating Predictive and Prescriptive Modeling into Personalized Health Care2. Challenges of Medical Research for the Remainder of the 21st Century3. Introduction to the Cornerstone Chapters of this Book, Chapters 12 -15: The Three Processes: Quality Control, Predictive Analytics, and Decisioning4. The Nature of Insight from Data and Implications for Automated Decisioning: Predictive and Prescriptive Models, Decisions, and Actions5. Decisioning Systems (Platforms) Coupled with Predictive Analytics in a Real Hospital Setting - A Model for the World6. The Latest in Predictive and Prescriptive Analytics7. The Coming Standard for a Data Model - OMOP (Observational Medical Outcomes Partnership) as per Observational Health Data Sciences and Informatics (OHDS) at University of California-Irvine8. A Real Case Study of GLAUCOMA (eye disease) and suggested PREDICTIVE MODELING for identifying individual patient predictions of best treatment with high accuracy9. Analytics Architectures for the 21st Century10. Causation and How This 'Cutting Edge Concept' Works with Predictive Analytics and Prescriptive Analytics (Decisioning)11. 21st Century Healthcare and Wellness: Getting the Health Care Delivery System That Meets Global Needs

• ISBN: 978-0-323-95274-3
• Editorial: Academic Press
• Encuadernacion: Cartoné
• Páginas: 800
• Fecha Publicación: 01/09/2022
• Nº Volúmenes: 1
• Idioma: Inglés