Intelligent Medical Search Engine by Knowledge Machine

Waraporn, Narongrit; Ahamed, Syed V.

doi:10.1109/itng.2006.77

Cited by 10 publications

(2 citation statements)

References 9 publications

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“…A novel encoding of the procedural codes in ATM cell was proposed by Lueng [13]. Waraporn introduced graphing of symptoms and deduction ailments and their treatments in the medical field in his 2006 dissertation [21] and the following publications [5] [22].…”

Section: Medical Knowledge Basesmentioning

confidence: 99%

Architecture and Design of Medical Processor Units for Medical Networks

Ahamed¹,

Rahman²

2010

IJCNC

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Section: Medical Knowledge Basesmentioning

confidence: 99%

Architecture and Design of Medical Processor Units for Medical Networks

Ahamed¹,

Rahman²

2010

IJCNC

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“…To extend the usage of the medical knowledge in [3], [6] and [10] to the world population for the uses of general diagnosis in [8] and [7], with confidence levels of [1], [17] and [18], oral diagnosis in [20] and intelligent medical search engine in [19], we present the results of real time simulation of our Medical Knowledge Technology, MKT, on the distributed knowledge nodes in this paper. We compare the results of parallel diagnosis among local, regional, national and global nodes.…”

Section: Introductionmentioning

confidence: 99%

Real Time Simulation of Medical Diagnosis with Confidence Levels on Distributed Knowledge Nodes

Waraporn

2007

JSW

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Telemedicine has been researched to provide better care to people in the remote area via Internet. Enhancing the Telemedicine over Internet can be applied to multiple health-care agencies containing medical knowledge in distributed databases. We are currently developing an internet-based medical diagnosis system, called Medical Knowledge Technology (MKT) system with confidence levels during coordinately diagnosis by multiple medical experts to support both medical experts and patients for early diagnosis and in researches. In this paper, methodologies of medical diagnosis among locally, regionally, nationally, and globally distributed nodes of MKT system are explained with their medical knowledge structures and experimental results on real-time simulation. In addition, the formulae for finding confidence levels for medical diagnosis are presented step-by-step according to the way that a physician diagnoses a patient.

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New Knowledge Environments

Ahamed¹

2008

Computational Framework for Knowledge

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Intelligent Medical Search Engine by Knowledge Machine

Cited by 10 publications

References 9 publications

Architecture and Design of Medical Processor Units for Medical Networks

Architecture and Design of Medical Processor Units for Medical Networks

Real Time Simulation of Medical Diagnosis with Confidence Levels on Distributed Knowledge Nodes

New Knowledge Environments

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