Artificial Intelligence in Precision Health

Depression Surgery Transmission Data mining Diabetes mellitus Diagnosis Epidemics Genomics Mortality Neural networks Neurosurgery Patient Care Patient monitoring Myocardial infarction Machine learning Prognosis Brain tumors Decision support systems Coronary Disease Nutrition Assessment Emergency medicine Telemedicine Physical fitness Nutrition Therapy Heart failure Ambient intelligence Glioma Natural language processing Spirometry Acute Coronary Syndrome Drug Repositioning Big data Expert Systems MEDICAL / Diagnosis Artificial intelligence Bipolar Disorder Healthcare Precision Medicine Health Equity Inclusion Body Myositis Computer-aided diagnosis Infectious diseases Predictive modeling Deep Neural Networks Artificial Neural Network ANN Clinical informatics Data-Driven Analytics Ambient-assisted living Predictive analysis Convolutional Neural Networks Antibiotic resistance Prediction Convolutional Neural Network Data warehouses Neuro-oncology Diabetes management Otorhinolaryngology Artificial neural networks Deep learning: Clinical Decision Support Systems Expert system Support vector machine (SVM) Machine learning systems Type 1 diabetes mellitus Trusted AI Explainability Equity and Inclusion Alzheimer’s disease detection Big data science Context aware notification Diagnostic of respiratory diseases Differential diagnosis generators Clinical and translational research Clinical decision support ­analytics Ensemble machine learning methods Forced ­oscillation technique Individual subject Lung Function Tests Nutritional Surveillance Genetic risk scores Prediction of respiratory exacerbation Pathways analysis Smart Health Care Parametric finite element analysis Machine learning techniques (MLT) Objective markers Phenotype prediction Precision Health