Titlebook: Intelligent Systems in Medicine and Health; The Role of AI Trevor A. Cohen,Vimla L. Patel,Edward H. Shortliff Textbook 2022 The Editor(s) (

Mutter

混合,搀杂

Data and Computation: A Contemporary Landscapeh by refining knowledge about the determinants of disease and bringing that knowledge to direct patient care. In this chapter we provide an overview of how data and computation are used to generate an understanding of the world, contrasting the traditional evidence-based medicine approach with newer

食品室

Peak-Bone-Mass

Clinical Cognition and AI: From Emulation to Symbiosisffort to emulate human cognition, contemporary systems aspire toward human (or even superhuman) performance on clinical tasks by whatever means necessary. However, if these systems are to inform clinical decisions, they must be integrated into healthcare environments populated by teams of human deci

冷峻

Machine Learning SystemsRather than providing a comprehensive account of the methodological basis of all extant ML algorithms, the chapter provides readers with a conceptual overview that includes mathematical details on how to formulate a feasible prediction problem using constraints on prediction context and available da

圆桶

Natural Language Processingdical articles in bibliographic databases. Natural language processing (NLP) is the field that seeks to automatically unlock information embedded in text. NLP has received sizable attention in the biomedical domain in the past two decades. This chapter provides an introduction to basic concepts of N

landmark

Audiometry

Intelligent Agents and Dialog Systemsence (AI), and the way in which AI is most commonly portrayed in works of fiction. Conversational agents have been under development for over a half-century. Recent work has benefited from advances in automated speech recognition and language modeling, which have both been propelled by recent progre

bourgeois

resuscitation

Predicting Medical Outcomesrelated to specific care actions, including administration of drugs, therapeutic protocols, guidelines and technology-related interventions, is of obvious great interest, in particular when such actions are implemented in the real-world, after clinical trials. AI and machine learning hold the promis