Some medical and mathematical aspects of computer diagnosis

Моисеева, Н. И.; Usov, V. V.

doi:10.1109/proc.1969.7437

Cited by 12 publications

(6 citation statements)

References 20 publications

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“…These devices are a diverse group of products that ranges from simple items such as weighing machine to complex devices such as heart by-pass machines [4] [6]. Computers are introduced in healthcare industry mainly to improve the precision in the diagnostic process and to make the easy and efficient process to be readily available worldwide [11]. High quality and well designed medical devices are necessary to provide safe and effective clinical care for patients as well as to ensure the health and safety of device users [4].…”

Section: Role Of Hci In Healthcarementioning

confidence: 99%

“…To improve the quality of the medical devices, it is not enough of strengthening the medical computing capabilities, but it is necessary for the practitioner to have a wide knowledge and awareness about the device [11]. Ensuring a good quality and usability will only bring great success in the digital world [12] [22].…”

Section: Role Of Hci In Healthcarementioning

confidence: 99%

“…HCI designers should be able to visualize and 'think' about the interface and should have the knowledge on user's familiarity on the interface [19]. Moiseeva et al [11] feels that the computer neither replace a physician nor 'thinks' instead of him, but it 'thinks' with him. The interface is expected to think and behave like a human to make it more useful.…”

Section: Cognitive Skillmentioning

confidence: 99%

“…The interface is expected to think and behave like a human to make it more useful. The 'Anthropomorphic design' [17] ensures that the interface can behave like a human and will be able to give relevant feedback, which could be accepted or denied later by the users [11]. Since each interface is different, depending on the design and performance of the interface, it can be predicted that the system will either be usable or unusable for users [23].…”

Section: Cognitive Skillmentioning

confidence: 99%

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Making Human-Computer Interaction Usable: Thinking from Healthcare Perspective

Franklin¹,

Sridaran²

2012

IJCA

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The effectiveness of Human Computer Interation depend upon certain important parameters such as usability and comfortability, which would encourage the end-users to get the services safely and more reliably. It becomes essential to understand the various usability factors under different perspectives which are highly essential to be considered by the healthcare system designers. As such, to the best of our knowledge, no such literatures of this kind are readily available. This paper categorizes the important usability factors and discusses some of the parameters that would make the interface effective and usable with certain quality parameters such as safety and reliability. Some of the problems of the interfaces from clinical perspective are also being discussed together with the strategies for improving the usability and in turn to meet the needs of the intended users.

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Section: Role Of Hci In Healthcarementioning

confidence: 99%

Section: Role Of Hci In Healthcarementioning

confidence: 99%

Section: Cognitive Skillmentioning

confidence: 99%

Section: Cognitive Skillmentioning

confidence: 99%

See 2 more Smart Citations

Making Human-Computer Interaction Usable: Thinking from Healthcare Perspective

Franklin¹,

Sridaran²

2012

IJCA

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“…Use of the expected entropy of the posterior probabilities of the taxa to select test for probabilistic identification, has been discussed by, for example, Good (1970), Moiseeva & Usov (1969), Taylor (1970), Knill-Jones et al (1973) and Payne (1975). Other functions used for this purpose can be adapted similarly.…”

Section: R W P a Y N E D Y A R R O W A N D J A B A R N E T Tmentioning

confidence: 99%

The Construction by Computer of a Diagnostic Key to the Genera of Yeasts and Other Such Groups of Taxa

Payne¹,

Yarrow²,

Barnett³

1982

Microbiology

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Groups of taxa such as genera, or groups derived from some forms of cluster analysis, may have insufficient test results that are constant within the groups to allow diagnostic keys and tables to be constructed in the usual way. This paper describes how the usual methods can be adapted to allow construction based on information about the individual group members, instead of on the overall group information. A new key to the genera of yeasts is constructed by these modified methods.

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