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[1] [2] Customers in 34 states [2] can use messaging to consult a medical clinician about 20 common conditions, such as acne, pink eye, migraine, and erectile dysfunction. [3] Once the consultation is complete, patients have the option of filling any prescriptions through Amazon Pharmacy for home delivery.
This field deals with utilization of machine-learning algorithms and artificial intelligence, to emulate human cognition in the analysis, interpretation, and comprehension of complicated medical and healthcare data. Specifically, AI is the ability of computer algorithms to approximate conclusions based solely on input data.
API testing is a type of software testing that involves testing application programming interfaces (APIs) directly and as part of integration testing to determine if they meet expectations for functionality, reliability, performance, and security. [1]
It is designed to be flexible and adaptable, so that it can be used in a wide range of settings and with different health care information systems. The standard describes data formats and elements (known as "resources") and an application programming interface (API) for exchanging electronic health records (EHR).
Dataset for the Machine Comprehension of Text Stories and associated questions for testing comprehension of text. None. 660 Text Natural language processing, machine comprehension 2013 [87] [88] M. Richardson et al. The Penn Treebank Project Naturally occurring text annotated for linguistic structure. Text is parsed into semantic trees. ~ 1M ...
The API allows clients to search or browse Amazon.com's product catalog; to retrieve detailed product information, reviews, and images; and to interface with customer shopping carts. Purchases at Amazon through a third-party website or application allows the operators of that site to earn up to 8.5% in referral fees.
The analytical profile index (API) was invented in the 1970s in the United States by Pierre Janin of Analytab Products Inc. [2] The API test system is currently manufactured by bioMérieux. [3] The API range introduced a standardized and miniaturized version of existing techniques, which were considered complicated to perform and difficult to read.
Natural language processing (NLP) is a subfield of computer science and especially artificial intelligence.It is primarily concerned with providing computers with the ability to process data encoded in natural language and is thus closely related to information retrieval, knowledge representation and computational linguistics, a subfield of linguistics.