Invisible Facial Flushing in Two Cases of Dengue Infection and Influenza Detected by PC Program and Smartphone App: Decorrelation Stretching and K-Means Clustering
We report the two cases of dengue infection and influenza with invisible facial flushing. The invisible facial flushing can be detected and visible by the Manote and Matinun (M&M) technique using PC program and smartphone app (decorrelation stretching and K-Means clustering). The unique patterns...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
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| Series: | Case Reports in Infectious Diseases |
| Online Access: | http://dx.doi.org/10.1155/2020/8790130 |
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| _version_ | 1850232208191651840 |
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| author | Manote Arpornsuwan Matinun Arpornsuwan |
| author_facet | Manote Arpornsuwan Matinun Arpornsuwan |
| author_sort | Manote Arpornsuwan |
| collection | DOAJ |
| description | We report the two cases of dengue infection and influenza with invisible facial flushing. The invisible facial flushing can be detected and visible by the Manote and Matinun (M&M) technique using PC program and smartphone app (decorrelation stretching and K-Means clustering). The unique patterns of facial flushing in the patients with high fever provide a clue to the diagnosis of dengue infection and influenza. This new innovative method could detect dengue infection and influenza earlier in the patients with high fever. |
| format | Article |
| id | doaj-art-09f3cb2b832c4079a122503abccdd0a6 |
| institution | OA Journals |
| issn | 2090-6625 2090-6633 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Case Reports in Infectious Diseases |
| spelling | doaj-art-09f3cb2b832c4079a122503abccdd0a62025-08-20T02:03:16ZengWileyCase Reports in Infectious Diseases2090-66252090-66332020-01-01202010.1155/2020/87901308790130Invisible Facial Flushing in Two Cases of Dengue Infection and Influenza Detected by PC Program and Smartphone App: Decorrelation Stretching and K-Means ClusteringManote Arpornsuwan0Matinun Arpornsuwan1Buriram Hospital, Buriram 31000, ThailandEmergency Medicine, Mission Hospital, Bangkok 10300, ThailandWe report the two cases of dengue infection and influenza with invisible facial flushing. The invisible facial flushing can be detected and visible by the Manote and Matinun (M&M) technique using PC program and smartphone app (decorrelation stretching and K-Means clustering). The unique patterns of facial flushing in the patients with high fever provide a clue to the diagnosis of dengue infection and influenza. This new innovative method could detect dengue infection and influenza earlier in the patients with high fever.http://dx.doi.org/10.1155/2020/8790130 |
| spellingShingle | Manote Arpornsuwan Matinun Arpornsuwan Invisible Facial Flushing in Two Cases of Dengue Infection and Influenza Detected by PC Program and Smartphone App: Decorrelation Stretching and K-Means Clustering Case Reports in Infectious Diseases |
| title | Invisible Facial Flushing in Two Cases of Dengue Infection and Influenza Detected by PC Program and Smartphone App: Decorrelation Stretching and K-Means Clustering |
| title_full | Invisible Facial Flushing in Two Cases of Dengue Infection and Influenza Detected by PC Program and Smartphone App: Decorrelation Stretching and K-Means Clustering |
| title_fullStr | Invisible Facial Flushing in Two Cases of Dengue Infection and Influenza Detected by PC Program and Smartphone App: Decorrelation Stretching and K-Means Clustering |
| title_full_unstemmed | Invisible Facial Flushing in Two Cases of Dengue Infection and Influenza Detected by PC Program and Smartphone App: Decorrelation Stretching and K-Means Clustering |
| title_short | Invisible Facial Flushing in Two Cases of Dengue Infection and Influenza Detected by PC Program and Smartphone App: Decorrelation Stretching and K-Means Clustering |
| title_sort | invisible facial flushing in two cases of dengue infection and influenza detected by pc program and smartphone app decorrelation stretching and k means clustering |
| url | http://dx.doi.org/10.1155/2020/8790130 |
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