A novel computer-assisted algorithmic method for differential diagnosis of dermatological diseases

Hyo Hyun Ahn, Yoon Kyoo Kang, Maing Kyu Kang, Ki Seop Yoon, Jae Lark Jung, Il-Hwan Kim

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

To deal with human surface locations electronically, it is essential to establish a designation method to code the sites. For the development of site designation methods and databases, dermatological textbooks, atlantes and clinical photographs were collected and reviewed. The sites were systematically named, numbered, and mapped on human models. The whole human surface was divided into 484 segments, and then assembled into 15 groups and 29 subgroups. After establishing the site designation method, we constructed a database of the sites of occurrence of dermatological diseases, and a database of age, sex, signs and symptoms. More than 700 diseases were analyzed and coded into the database. To gather information on the site of a particular disease, not only textbooks, and atlantes of dermatology, but also photographs obtained during clinical practices were reviewed, as clinical photos of patients can be more delicate than the descriptions in textbooks. The prototype of a computer assisted dermatological diagnosing system was made using site a designation method and the databases. This interactive computer program worked relatively well as a helpful guide or dermatological diagnosing tool. Further diseases are being added to the databases.

Original languageEnglish
Pages (from-to)956-962
Number of pages7
JournalJournal of Dermatology
Volume32
Issue number12
DOIs
Publication statusPublished - 2005 Jan 1

Fingerprint

Differential Diagnosis
Databases
Textbooks
Dermatology
Signs and Symptoms
Software

Keywords

  • Algorithms
  • Database
  • Differential diagnosis
  • Medical informatics

ASJC Scopus subject areas

  • Dermatology

Cite this

A novel computer-assisted algorithmic method for differential diagnosis of dermatological diseases. / Ahn, Hyo Hyun; Kang, Yoon Kyoo; Kang, Maing Kyu; Yoon, Ki Seop; Jung, Jae Lark; Kim, Il-Hwan.

In: Journal of Dermatology, Vol. 32, No. 12, 01.01.2005, p. 956-962.

Research output: Contribution to journalArticle

@article{3e6cdc4d12824ad2a4e9a1c9e642ec82,
title = "A novel computer-assisted algorithmic method for differential diagnosis of dermatological diseases",
abstract = "To deal with human surface locations electronically, it is essential to establish a designation method to code the sites. For the development of site designation methods and databases, dermatological textbooks, atlantes and clinical photographs were collected and reviewed. The sites were systematically named, numbered, and mapped on human models. The whole human surface was divided into 484 segments, and then assembled into 15 groups and 29 subgroups. After establishing the site designation method, we constructed a database of the sites of occurrence of dermatological diseases, and a database of age, sex, signs and symptoms. More than 700 diseases were analyzed and coded into the database. To gather information on the site of a particular disease, not only textbooks, and atlantes of dermatology, but also photographs obtained during clinical practices were reviewed, as clinical photos of patients can be more delicate than the descriptions in textbooks. The prototype of a computer assisted dermatological diagnosing system was made using site a designation method and the databases. This interactive computer program worked relatively well as a helpful guide or dermatological diagnosing tool. Further diseases are being added to the databases.",
keywords = "Algorithms, Database, Differential diagnosis, Medical informatics",
author = "Ahn, {Hyo Hyun} and Kang, {Yoon Kyoo} and Kang, {Maing Kyu} and Yoon, {Ki Seop} and Jung, {Jae Lark} and Il-Hwan Kim",
year = "2005",
month = "1",
day = "1",
doi = "10.1111/j.1346-8138.2005.tb00881.x",
language = "English",
volume = "32",
pages = "956--962",
journal = "Journal of Dermatology",
issn = "0385-2407",
publisher = "Wiley-Blackwell",
number = "12",

}

TY - JOUR

T1 - A novel computer-assisted algorithmic method for differential diagnosis of dermatological diseases

AU - Ahn, Hyo Hyun

AU - Kang, Yoon Kyoo

AU - Kang, Maing Kyu

AU - Yoon, Ki Seop

AU - Jung, Jae Lark

AU - Kim, Il-Hwan

PY - 2005/1/1

Y1 - 2005/1/1

N2 - To deal with human surface locations electronically, it is essential to establish a designation method to code the sites. For the development of site designation methods and databases, dermatological textbooks, atlantes and clinical photographs were collected and reviewed. The sites were systematically named, numbered, and mapped on human models. The whole human surface was divided into 484 segments, and then assembled into 15 groups and 29 subgroups. After establishing the site designation method, we constructed a database of the sites of occurrence of dermatological diseases, and a database of age, sex, signs and symptoms. More than 700 diseases were analyzed and coded into the database. To gather information on the site of a particular disease, not only textbooks, and atlantes of dermatology, but also photographs obtained during clinical practices were reviewed, as clinical photos of patients can be more delicate than the descriptions in textbooks. The prototype of a computer assisted dermatological diagnosing system was made using site a designation method and the databases. This interactive computer program worked relatively well as a helpful guide or dermatological diagnosing tool. Further diseases are being added to the databases.

AB - To deal with human surface locations electronically, it is essential to establish a designation method to code the sites. For the development of site designation methods and databases, dermatological textbooks, atlantes and clinical photographs were collected and reviewed. The sites were systematically named, numbered, and mapped on human models. The whole human surface was divided into 484 segments, and then assembled into 15 groups and 29 subgroups. After establishing the site designation method, we constructed a database of the sites of occurrence of dermatological diseases, and a database of age, sex, signs and symptoms. More than 700 diseases were analyzed and coded into the database. To gather information on the site of a particular disease, not only textbooks, and atlantes of dermatology, but also photographs obtained during clinical practices were reviewed, as clinical photos of patients can be more delicate than the descriptions in textbooks. The prototype of a computer assisted dermatological diagnosing system was made using site a designation method and the databases. This interactive computer program worked relatively well as a helpful guide or dermatological diagnosing tool. Further diseases are being added to the databases.

KW - Algorithms

KW - Database

KW - Differential diagnosis

KW - Medical informatics

UR - http://www.scopus.com/inward/record.url?scp=32944480082&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=32944480082&partnerID=8YFLogxK

U2 - 10.1111/j.1346-8138.2005.tb00881.x

DO - 10.1111/j.1346-8138.2005.tb00881.x

M3 - Article

VL - 32

SP - 956

EP - 962

JO - Journal of Dermatology

JF - Journal of Dermatology

SN - 0385-2407

IS - 12

ER -