Preclinical Diagnosis of Diabetes with Tongue Infrared Thermography and PSO Algorithm.

The tongue use as an initial biomarker for disease diagnosis in Greek, western and Chinese culture. The tongue provides a non-invasive method to diagnose diseases in health care. The tongue shows gamut of symptoms due to disease and disorder. The traditional tongue diagnosis requires quantitative ex...

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Publicado en:Medico-Legal Update Vol. 20; no. 1; pp. 191 - 198
Autores principales: Selvarani, A., Suresh, G. R.
Formato: equations & formulas pictorial research tables/charts Journal Article
Publicado: Institute of Medico-legal publications Pvt Ltd Jan-Mar2020
Acceso en línea:Ver este registro en EBSCOhost
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        10.37506/v20/i1/2020/mlu/194322
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        atl: Preclinical Diagnosis of Diabetes with Tongue Infrared Thermography and PSO Algorithm.
      aug:
        au:
          Selvarani, A.
          Suresh, G. R.
        affil: Research Scholar, Department of Electronics and Communication Engineering, Sathyabama Institute of Science and Technology, Jeppiaar Nagar, Rajiv Gandhi Road, Chennai, India
      sug:
        subj:
          Diabetes Mellitus, Type 1 Diagnosis
          Thermography Methods
          Tongue Physiology
          Algorithms
          Human
          Male
          Female
          Diabetic Patients
          Quantitative Studies
          Pancreatitis, Chronic
          Salivary Glands
          Male
          Female
      ab: The tongue use as an initial biomarker for disease diagnosis in Greek, western and Chinese culture. The tongue provides a non-invasive method to diagnose diseases in health care. The tongue shows gamut of symptoms due to disease and disorder. The traditional tongue diagnosis requires quantitative experience. In western medicine the tongue symptom use as one of the criteria for disease diagnosis. The tongue reflexology shows functioning of internal organs in body. Recent studies attribute chronic pancreatitis to saliva secretion. In this paper, we propose to diagnose diabetes with tongue thermal image. The Particle swarm optimization (PSO) algorithm to cluster thermally active pixels with similar intensity. The clustered tongue thermal region show drastic change for normal and diabetic person. The study involved 25 normal person and 25 type 1 diabetic person. The proposed approach diagnoses diabetes with 86% accuracy.
      pubtype: Academic Journal
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        equations & formulas
        pictorial
        research
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        Journal Article
      ougenre: Article
    language: English
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