Dialog agents (chatbots) have a long history of application in health care, where they been used for tasks such as supporting patient self-management and providing counseling. Their use is expected to grow with increasing demands on systems improving artificial intelligence (AI) capability. Approaches the evaluation care chatbots, however, appear be diverse haphazard, resulting potential barrier advancement field.This study aims identify technical (nonclinical) metrics by previous studies...

Background Chatbots are applications that can conduct natural language conversations with users. In the medical field, chatbots have been developed and used to serve different purposes. They provide patients timely information be critical in some scenarios, such as access mental health resources. Since development of first chatbot, ELIZA, late 1960s, much effort has followed produce for various purposes ways. Objective This study aimed explore technical aspects methodologies associated field...

Implantable Medical Devices (IMDs) is a promising new technology in the medical field to improve treatment of patients. IMDs are electronic devices implanted human body monitor or treat various sorts diseases different organs enhance poor functions parts. This article introduces problems designing (IMDs), from cybersecurity perspective. Older generations did not consider device security as prominent design goal. As result, existing market suffer vulnerabilities, that if exploited can have...

Authentication of Hadiths (sayings Prophet Muhammad) is very important field for religious scholars as well historians. Authenticity verification traditionally conducted by studying how trustworthy each person in the narration chain. In this study, we propose a novel approach completely based on content Hadith. For category hadiths (authentic and non-authentic), create binary relation which correspond to objects words its attributes. Keywords are then obtained hierarchical ordering...

This paper focuses on detecting inconsistencies within text corpora. It is a very interesting area with many applications. Most existing methods deal this problem using complicated textual analysis, which known for not being accurate enough. We propose new methodology that consists of two steps, the first one machine learning step performs multilevel categorization. The second applies conceptual reasoning predicted categories in order to detect inconsistencies. has been validated set Islamic...

General practices (GPs) in England have recently introduced a nationwide electronic personal health record (ePHR) system called Patient Online or GP online services, which allows patients to view parts of their medical records, book appointments, and request prescription refills. Although this is free charge, its adoption rates are low. To improve patients' implementation success the system, it important understand factors affecting use system.The aim study explore perspectives ePHRs...

Preterm deliveries have many negative health implications on both mother and child. Identifying the population level factors that increase risk of preterm is an important step in direction mitigating impact reducing frequency occurrence deliveries. The purpose this work to identify delivery their progression throughout pregnancy from a large collection Electronic Health Records (EHR).The study cohort includes about 60,000 USA with complete medical history EHR for diagnoses, medications...

Text categorization is an important research field that finds many applications nowadays. It usually performed in two steps: feature extraction and classification. In the step, discriminating keywords are extracted order to distinguish between different categories of documents. classification fed a classifier detect category each document. this paper, we use hyper rectangle method which represents corpus documents using binary relation correspond objects words attributes. The extracts tree...

Abstract Background : Preterm deliveries have many negative health implications on both mother and child. Identifying the population level factors that increase risk of preterm is an important step in direction mitigating impact reducing frequency occurrence deliveries. The purpose this work to identify delivery their progression throughout pregnancy from a large collection Electronic Health Records (EHR). Results study cohort includes more than 60,000 USA with complete medical history EHR...

This contribution was made possible by NPRP grant 06-1220-1-233 from the Qatar National Research Fund (a member of Foundation).

<sec> <title>BACKGROUND</title> Chatbots are applications that can conduct natural language conversations with users. In the medical field, chatbots have been developed and used to serve different purposes. They provide patients timely information be critical in some scenarios, such as access mental health resources. Since development of first chatbot, ELIZA, late 1960s, much effort has followed produce for various purposes ways. </sec> <title>OBJECTIVE</title> This study aimed explore...

<sec> <title>BACKGROUND</title> Dialog agents (chatbots) have a long history of application in health care, where they been used for tasks such as supporting patient self-management and providing counseling. Their use is expected to grow with increasing demands on systems improving artificial intelligence (AI) capability. Approaches the evaluation care chatbots, however, appear be diverse haphazard, resulting potential barrier advancement field. </sec> <title>OBJECTIVE</title> This study...

<sec> <title>BACKGROUND</title> General practices (GPs) in England have recently introduced a nationwide electronic personal health record (ePHR) system called Patient Online or GP online services, which allows patients to view parts of their medical records, book appointments, and request prescription refills. Although this is free charge, its adoption rates are low. To improve patients’ implementation success the system, it important understand factors affecting use system. </sec>...