schliessen

Filtern

 

Bibliotheken

An Expert System for Selecting Wart Treatment Method

Abstract As benign tumors, warts are made through the mediation of Human Papillomavirus (HPV) and may grow on all parts of body, especially hands and feet. There are several treatment methods for this illness. However, none of them can heal all patients. Consequently, physicians are looking for more... Full description

Journal Title: Computers in biology and medicine 2017, Vol.81, p.167-175
Main Author: Khozeimeh, Fahime
Other Authors: Alizadehsani, Roohallah , Roshanzamir, Mohamad , Khosravi, Abbas , Layegh, Pouran , Nahavandi, Saeid
Format: Electronic Article Electronic Article
Language: English
Subjects:
Quelle: Alma/SFX Local Collection
Publisher: United States: Elsevier Ltd
ID: ISSN: 0010-4825
Link: https://www.ncbi.nlm.nih.gov/pubmed/28086200
Zum Text:
SendSend as email Add to Book BagAdd to Book Bag
Staff View
recordid: cdi_proquest_miscellaneous_1868328540
title: An Expert System for Selecting Wart Treatment Method
format: Article
creator:
  • Khozeimeh, Fahime
  • Alizadehsani, Roohallah
  • Roshanzamir, Mohamad
  • Khosravi, Abbas
  • Layegh, Pouran
  • Nahavandi, Saeid
subjects:
  • Adolescent
  • Adult
  • Algorithms
  • Clinical Decision-Making - methods
  • Cryotherapy
  • Cryotherapy - methods
  • Datasets
  • Decision Support Systems, Clinical - organization & administration
  • Expert Systems
  • Female
  • Fuzzy rule-based system
  • Humans
  • Immunotherapy
  • Immunotherapy - methods
  • Internal Medicine
  • Machine Learning
  • Male
  • Mediation
  • Medical research
  • Medicine, Experimental
  • Methods
  • Middle Aged
  • Other
  • Outcome Assessment (Health Care) - methods
  • Papillomaviridae
  • Papillomavirus infections
  • Patient Selection
  • Prognosis
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Studies
  • Therapy, Computer-Assisted - methods
  • Treatment Outcome
  • Warts
  • Warts - diagnosis
  • Warts - therapy
  • Young Adult
ispartof: Computers in biology and medicine, 2017, Vol.81, p.167-175
description: Abstract As benign tumors, warts are made through the mediation of Human Papillomavirus (HPV) and may grow on all parts of body, especially hands and feet. There are several treatment methods for this illness. However, none of them can heal all patients. Consequently, physicians are looking for more effective and customized treatments for each patient. They are endeavoring to discover which treatments have better impacts on a particular patient. The aim of this study is to identify the appropriate treatment for two common types of warts (plantar and common) and to predict the responses of two of the best methods (immunotherapy and cryotherapy) to the treatment. As an original work, the study was conducted on 180 patients, with plantar and common warts, who had referred to the dermatology clinic of Ghaem Hospital, Mashhad, Iran. In this study, 90 patients were treated by cryotherapy method with liquid nitrogen and 90 patients with immunotherapy method. The selection of the treatment method was made randomly. A fuzzy logic rule-based system was proposed and implemented to predict the responses to the treatment method. It was observed that the prediction accuracy of immunotherapy and cryotherapy methods was 83.33% and 80.7%, respectively. According to the results obtained, the benefits of this expert system are multifold: assisting physicians in selecting the best treatment method, saving time for patients, reducing the treatment cost, and improving the quality of treatment.
language: eng
source: Alma/SFX Local Collection
identifier: ISSN: 0010-4825
fulltext: fulltext
issn:
  • 0010-4825
  • 1879-0534
url: Link


@attributes
NO1
SEARCH_ENGINEprimo_central_multiple_fe
SEARCH_ENGINE_TYPEPrimo Central Search Engine
RANK2.6572542
LOCALfalse
PrimoNMBib
record
control
sourceidgale_proqu
recordidTN_cdi_proquest_miscellaneous_1868328540
sourceformatXML
sourcesystemPC
galeidA479511436
sourcerecordidA479511436
originalsourceidFETCH-LOGICAL-c552t-49f843876f4fe2421c36b0f4186faa96114f51c6fe364737ba9bbbe8b920ce0c3
addsrcrecordideNqNkk9v1DAQxS0EokvhK6BIXLgkjP8lzgVpqQpUKuKwRXCzHGdcvCTxYmdR99vjaFtV6mnlg6WZ3xvr-Q0hBYWKAq0_bCsbxl3nw4h9xYA2FdAKgD4jK6qatgTJxXOyyhUohWLyjLxKaQsAAji8JGdMgaoZwIqI9VRc3u0wzsXmkGYcCxdiscEB7eyn2-KnyZ2biGYecZqLbzj_Dv1r8sKZIeGb-_uc_Ph8eXPxtbz-_uXqYn1dWinZXIrWKcFVUzvhkAlGLa87cIKq2hnT1pQKJ6mtHfJaNLzpTNt1HaquZWARLD8n749zdzH83WOa9eiTxWEwE4Z90nmQ4kzJ7OoElEoqG64y-u4Jug37OGUjC8VlLQS0maqO1K0ZUPvJhTkam0-Po7dhQudzfS1p23AhpTxVIJpWZuO8zgJ1FNgYUoro9C760cSDpqCXmPVWP8asl5g1UJ1DzdK39xb23dJ7ED7kmoFPRwBzPP88Rp2sx8li72NOVvfBn_LKxydD7OAnb83wBw-YHn9NJ6ZBb5Z1W7aNNjyvGv3F_wPf9M7Y
sourcetypeAggregation Database
isCDItrue
recordtypearticle
pqid1863564409
display
typearticle
titleAn Expert System for Selecting Wart Treatment Method
sourceAlma/SFX Local Collection
creatorKhozeimeh, Fahime ; Alizadehsani, Roohallah ; Roshanzamir, Mohamad ; Khosravi, Abbas ; Layegh, Pouran ; Nahavandi, Saeid
creatorcontribKhozeimeh, Fahime ; Alizadehsani, Roohallah ; Roshanzamir, Mohamad ; Khosravi, Abbas ; Layegh, Pouran ; Nahavandi, Saeid
descriptionAbstract As benign tumors, warts are made through the mediation of Human Papillomavirus (HPV) and may grow on all parts of body, especially hands and feet. There are several treatment methods for this illness. However, none of them can heal all patients. Consequently, physicians are looking for more effective and customized treatments for each patient. They are endeavoring to discover which treatments have better impacts on a particular patient. The aim of this study is to identify the appropriate treatment for two common types of warts (plantar and common) and to predict the responses of two of the best methods (immunotherapy and cryotherapy) to the treatment. As an original work, the study was conducted on 180 patients, with plantar and common warts, who had referred to the dermatology clinic of Ghaem Hospital, Mashhad, Iran. In this study, 90 patients were treated by cryotherapy method with liquid nitrogen and 90 patients with immunotherapy method. The selection of the treatment method was made randomly. A fuzzy logic rule-based system was proposed and implemented to predict the responses to the treatment method. It was observed that the prediction accuracy of immunotherapy and cryotherapy methods was 83.33% and 80.7%, respectively. According to the results obtained, the benefits of this expert system are multifold: assisting physicians in selecting the best treatment method, saving time for patients, reducing the treatment cost, and improving the quality of treatment.
identifier
0ISSN: 0010-4825
1EISSN: 1879-0534
2DOI: 10.1016/j.compbiomed.2017.01.001
3PMID: 28086200
4CODEN: CBMDAW
languageeng
publisherUnited States: Elsevier Ltd
subjectAdolescent ; Adult ; Algorithms ; Clinical Decision-Making - methods ; Cryotherapy ; Cryotherapy - methods ; Datasets ; Decision Support Systems, Clinical - organization & administration ; Expert Systems ; Female ; Fuzzy rule-based system ; Humans ; Immunotherapy ; Immunotherapy - methods ; Internal Medicine ; Machine Learning ; Male ; Mediation ; Medical research ; Medicine, Experimental ; Methods ; Middle Aged ; Other ; Outcome Assessment (Health Care) - methods ; Papillomaviridae ; Papillomavirus infections ; Patient Selection ; Prognosis ; Reproducibility of Results ; Sensitivity and Specificity ; Studies ; Therapy, Computer-Assisted - methods ; Treatment Outcome ; Warts ; Warts - diagnosis ; Warts - therapy ; Young Adult
ispartofComputers in biology and medicine, 2017, Vol.81, p.167-175
rights
02017 Elsevier Ltd
1Copyright © 2017 Elsevier Ltd. All rights reserved.
2COPYRIGHT 2017 Elsevier B.V.
3Copyright Elsevier Limited Feb 01, 2017
lds50peer_reviewed
citesFETCH-LOGICAL-c552t-49f843876f4fe2421c36b0f4186faa96114f51c6fe364737ba9bbbe8b920ce0c3
links
openurl$$Topenurl_article
openurlfulltext$$Topenurlfull_article
thumbnail$$Usyndetics_thumb_exl
backlink$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28086200$$D View this record in MEDLINE/PubMed
search
creatorcontrib
0Khozeimeh, Fahime
1Alizadehsani, Roohallah
2Roshanzamir, Mohamad
3Khosravi, Abbas
4Layegh, Pouran
5Nahavandi, Saeid
title
0An Expert System for Selecting Wart Treatment Method
1Computers in biology and medicine
addtitleComput Biol Med
descriptionAbstract As benign tumors, warts are made through the mediation of Human Papillomavirus (HPV) and may grow on all parts of body, especially hands and feet. There are several treatment methods for this illness. However, none of them can heal all patients. Consequently, physicians are looking for more effective and customized treatments for each patient. They are endeavoring to discover which treatments have better impacts on a particular patient. The aim of this study is to identify the appropriate treatment for two common types of warts (plantar and common) and to predict the responses of two of the best methods (immunotherapy and cryotherapy) to the treatment. As an original work, the study was conducted on 180 patients, with plantar and common warts, who had referred to the dermatology clinic of Ghaem Hospital, Mashhad, Iran. In this study, 90 patients were treated by cryotherapy method with liquid nitrogen and 90 patients with immunotherapy method. The selection of the treatment method was made randomly. A fuzzy logic rule-based system was proposed and implemented to predict the responses to the treatment method. It was observed that the prediction accuracy of immunotherapy and cryotherapy methods was 83.33% and 80.7%, respectively. According to the results obtained, the benefits of this expert system are multifold: assisting physicians in selecting the best treatment method, saving time for patients, reducing the treatment cost, and improving the quality of treatment.
subject
0Adolescent
1Adult
2Algorithms
3Clinical Decision-Making - methods
4Cryotherapy
5Cryotherapy - methods
6Datasets
7Decision Support Systems, Clinical - organization & administration
8Expert Systems
9Female
10Fuzzy rule-based system
11Humans
12Immunotherapy
13Immunotherapy - methods
14Internal Medicine
15Machine Learning
16Male
17Mediation
18Medical research
19Medicine, Experimental
20Methods
21Middle Aged
22Other
23Outcome Assessment (Health Care) - methods
24Papillomaviridae
25Papillomavirus infections
26Patient Selection
27Prognosis
28Reproducibility of Results
29Sensitivity and Specificity
30Studies
31Therapy, Computer-Assisted - methods
32Treatment Outcome
33Warts
34Warts - diagnosis
35Warts - therapy
36Young Adult
issn
00010-4825
11879-0534
fulltexttrue
rsrctypearticle
creationdate2017
recordtypearticle
recordideNqNkk9v1DAQxS0EokvhK6BIXLgkjP8lzgVpqQpUKuKwRXCzHGdcvCTxYmdR99vjaFtV6mnlg6WZ3xvr-Q0hBYWKAq0_bCsbxl3nw4h9xYA2FdAKgD4jK6qatgTJxXOyyhUohWLyjLxKaQsAAji8JGdMgaoZwIqI9VRc3u0wzsXmkGYcCxdiscEB7eyn2-KnyZ2biGYecZqLbzj_Dv1r8sKZIeGb-_uc_Ph8eXPxtbz-_uXqYn1dWinZXIrWKcFVUzvhkAlGLa87cIKq2hnT1pQKJ6mtHfJaNLzpTNt1HaquZWARLD8n749zdzH83WOa9eiTxWEwE4Z90nmQ4kzJ7OoElEoqG64y-u4Jug37OGUjC8VlLQS0maqO1K0ZUPvJhTkam0-Po7dhQudzfS1p23AhpTxVIJpWZuO8zgJ1FNgYUoro9C760cSDpqCXmPVWP8asl5g1UJ1DzdK39xb23dJ7ED7kmoFPRwBzPP88Rp2sx8li72NOVvfBn_LKxydD7OAnb83wBw-YHn9NJ6ZBb5Z1W7aNNjyvGv3F_wPf9M7Y
startdate2017
enddate2017
creator
0Khozeimeh, Fahime
1Alizadehsani, Roohallah
2Roshanzamir, Mohamad
3Khosravi, Abbas
4Layegh, Pouran
5Nahavandi, Saeid
general
0Elsevier Ltd
1Elsevier B.V
2Elsevier Limited
scope
0CGR
1CUY
2CVF
3ECM
4EIF
5NPM
6AAYXX
7CITATION
8BSHEE
93V.
107QO
117RV
127X7
137XB
1488E
158AL
168AO
178FD
188FE
198FG
208FH
218FI
228FJ
238FK
248G5
25ABUWG
26ARAPS
27AZQEC
28BBNVY
29BENPR
30BGLVJ
31BHPHI
32DWQXO
33FR3
34FYUFA
35GHDGH
36GNUQQ
37GUQSH
38HCIFZ
39JQ2
40K7-
41K9.
42KB0
43LK8
44M0N
45M0S
46M1P
47M2O
48M7P
49MBDVC
50NAPCQ
51P5Z
52P62
53P64
54PADUT
55PQEST
56PQQKQ
57PQUKI
58PRINS
59Q9U
607X8
sort
creationdate2017
titleAn Expert System for Selecting Wart Treatment Method
authorKhozeimeh, Fahime ; Alizadehsani, Roohallah ; Roshanzamir, Mohamad ; Khosravi, Abbas ; Layegh, Pouran ; Nahavandi, Saeid
facets
frbrtype5
frbrgroupidcdi_FETCH-LOGICAL-c552t-49f843876f4fe2421c36b0f4186faa96114f51c6fe364737ba9bbbe8b920ce0c3
rsrctypearticles
prefilterarticles
languageeng
creationdate2017
topic
0Adolescent
1Adult
2Algorithms
3Clinical Decision-Making - methods
4Cryotherapy
5Cryotherapy - methods
6Datasets
7Decision Support Systems, Clinical - organization & administration
8Expert Systems
9Female
10Fuzzy rule-based system
11Humans
12Immunotherapy
13Immunotherapy - methods
14Internal Medicine
15Machine Learning
16Male
17Mediation
18Medical research
19Medicine, Experimental
20Methods
21Middle Aged
22Other
23Outcome Assessment (Health Care) - methods
24Papillomaviridae
25Papillomavirus infections
26Patient Selection
27Prognosis
28Reproducibility of Results
29Sensitivity and Specificity
30Studies
31Therapy, Computer-Assisted - methods
32Treatment Outcome
33Warts
34Warts - diagnosis
35Warts - therapy
36Young Adult
toplevel
0peer_reviewed
1online_resources
creatorcontrib
0Khozeimeh, Fahime
1Alizadehsani, Roohallah
2Roshanzamir, Mohamad
3Khosravi, Abbas
4Layegh, Pouran
5Nahavandi, Saeid
collection
0Medline
1MEDLINE
2MEDLINE (Ovid)
3MEDLINE
4MEDLINE
5PubMed
6CrossRef
7Academic OneFile (A&I only)
8ProQuest Central (Corporate)
9Biotechnology Research Abstracts
10Nursing & Allied Health Database
11Health & Medical Collection
12ProQuest Central (purchase pre-March 2016)
13Medical Database (Alumni Edition)
14Computing Database (Alumni Edition)
15ProQuest Pharma Collection
16Technology Research Database
17ProQuest SciTech Collection
18ProQuest Technology Collection
19ProQuest Natural Science Collection
20Hospital Premium Collection
21Hospital Premium Collection (Alumni Edition)
22ProQuest Central (Alumni) (purchase pre-March 2016)
23Research Library (Alumni Edition)
24ProQuest Central (Alumni Edition)
25Advanced Technologies & Aerospace Collection
26ProQuest Central Essentials
27Biological Science Collection
28ProQuest Central
29Technology Collection
30Natural Science Collection
31ProQuest Central Korea
32Engineering Research Database
33Health Research Premium Collection
34Health Research Premium Collection (Alumni)
35ProQuest Central Student
36Research Library Prep
37SciTech Premium Collection
38ProQuest Computer Science Collection
39Computer Science Database
40ProQuest Health & Medical Complete (Alumni)
41Nursing & Allied Health Database (Alumni Edition)
42ProQuest Biological Science Collection
43Computing Database
44Health & Medical Collection (Alumni Edition)
45Medical Database
46Research Library
47Biological Science Database
48Research Library (Corporate)
49Nursing & Allied Health Premium
50Advanced Technologies & Aerospace Database
51ProQuest Advanced Technologies & Aerospace Collection
52Biotechnology and BioEngineering Abstracts
53Research Library China
54ProQuest One Academic Eastern Edition
55ProQuest One Academic
56ProQuest One Academic UKI Edition
57ProQuest Central China
58ProQuest Central Basic
59MEDLINE - Academic
jtitleComputers in biology and medicine
delivery
delcategoryRemote Search Resource
fulltextfulltext
addata
au
0Khozeimeh, Fahime
1Alizadehsani, Roohallah
2Roshanzamir, Mohamad
3Khosravi, Abbas
4Layegh, Pouran
5Nahavandi, Saeid
formatjournal
genrearticle
ristypeJOUR
atitleAn Expert System for Selecting Wart Treatment Method
jtitleComputers in biology and medicine
addtitleComput Biol Med
date2017
risdate2017
volume81
spage167
epage175
pages167-175
issn0010-4825
eissn1879-0534
codenCBMDAW
abstractAbstract As benign tumors, warts are made through the mediation of Human Papillomavirus (HPV) and may grow on all parts of body, especially hands and feet. There are several treatment methods for this illness. However, none of them can heal all patients. Consequently, physicians are looking for more effective and customized treatments for each patient. They are endeavoring to discover which treatments have better impacts on a particular patient. The aim of this study is to identify the appropriate treatment for two common types of warts (plantar and common) and to predict the responses of two of the best methods (immunotherapy and cryotherapy) to the treatment. As an original work, the study was conducted on 180 patients, with plantar and common warts, who had referred to the dermatology clinic of Ghaem Hospital, Mashhad, Iran. In this study, 90 patients were treated by cryotherapy method with liquid nitrogen and 90 patients with immunotherapy method. The selection of the treatment method was made randomly. A fuzzy logic rule-based system was proposed and implemented to predict the responses to the treatment method. It was observed that the prediction accuracy of immunotherapy and cryotherapy methods was 83.33% and 80.7%, respectively. According to the results obtained, the benefits of this expert system are multifold: assisting physicians in selecting the best treatment method, saving time for patients, reducing the treatment cost, and improving the quality of treatment.
copUnited States
pubElsevier Ltd
pmid28086200
doi10.1016/j.compbiomed.2017.01.001