語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Foundations of biomedical knowledge ...
~
Hommersom, Arjen.
Foundations of biomedical knowledge representationmethods and applications /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Foundations of biomedical knowledge representationedited by Arjen Hommersom, Peter J.F. Lucas.
其他題名:
methods and applications /
其他作者:
Hommersom, Arjen.
出版者:
Cham :Springer International Publishing :2015.
面頁冊數:
xii, 339 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
Knowledge representation (Information theory)
電子資源:
http://dx.doi.org/10.1007/978-3-319-28007-3
ISBN:
9783319280073$q(electronic bk.)
Foundations of biomedical knowledge representationmethods and applications /
Foundations of biomedical knowledge representation
methods and applications /[electronic resource] :edited by Arjen Hommersom, Peter J.F. Lucas. - Cham :Springer International Publishing :2015. - xii, 339 p. :ill., digital ;24 cm. - Lecture notes in computer science,95210302-9743 ;. - Lecture notes in computer science ;4891..
How to Read the Book "Foundations of Biomedical Knowledge Representation" -- An Introduction to Knowledge Representation and Reasoning in Healthcare -- Representing Knowledge for Clinical Diagnostic Reasoning -- Automated Diagnosis of Breast Cancer on Medical -- Monitoring in the Healthcare Setting -- Conformance Verification of Clinical Guidelines in Presence of Computerized and Human-Enhanced -- Modelling and Monitoring the Individual Patient in Real Time -- Personalised Medicine: Taking a New Look at the Patient -- Graphical Modelling in Genetics and Systems Biology -- Chain Graphs and Gene Networks -- Prediction and Prognosis of Health and Disease -- Trajectories Through the Disease Process: Cross Sectional and Longitudinal Studies -- Dynamic Bayesian Network for Cervical Cancer Screening -- Modeling Dynamic Processes with Memory by Higher Order Temporal Models -- Treatment of Disease: The Role of Knowledge Representation for Treatment Selection -- Predicting Adverse Drug Events from Electronic Medical Records -- User Modelling for Patient Tailored Virtual Rehabilitation -- Supporting Physicians and Patients through Recommendation: Guidelines and Beyond -- A Hybrid Approach to the Verification of Computer Interpretable Guidelines -- Aggregation of Clinical Evidence Using Argumentation.
Medicine and health care are currently faced with a significant rise in their complexity. This is partly due to the progress made during the past three decades in the fundamental biological understanding of the causes of health and disease at the molecular, (sub)cellular, and organ level. Since the end of the 1970s, when knowledge representation and reasoning in the biomedical field became a separate area of research, huge progress has been made in the development of methods and tools that are finally able to impact on the way medicine is being practiced. Even though there are huge differences in the techniques and methods used by biomedical researchers, there is now an increasing tendency to share research results in terms of formal knowledge representation methods, such as ontologies, statistical models, network models, and mathematical models. As there is an urgent need for health-care professionals to make better decisions, computer-based support using this knowledge is now becoming increasingly important. It may also be the only way to integrate research results from the different parts of the spectrum of biomedical and clinical research. The aim of this book is to shed light on developments in knowledge representation at different levels of biomedical application, ranging from human biology to clinical guidelines, and using different techniques, from probability theory and differential equations to logic. The book starts with two introductory chapters followed by 18 contributions organized in the following topical sections: diagnosis of disease; monitoring of health and disease and conformance; assessment of health and personalization; prediction and prognosis of health and disease; treatment of disease; and recommendations.
ISBN: 9783319280073$q(electronic bk.)
Standard No.: 10.1007/978-3-319-28007-3doiSubjects--Topical Terms:
226484
Knowledge representation (Information theory)
LC Class. No.: Q387
Dewey Class. No.: 006.332
Foundations of biomedical knowledge representationmethods and applications /
LDR
:04140nmm a2200337 a 4500
001
477831
003
DE-He213
005
20160524151618.0
006
m d
007
cr nn 008maaau
008
160614s2015 gw s 0 eng d
020
$a
9783319280073$q(electronic bk.)
020
$a
9783319280066$q(paper)
024
7
$a
10.1007/978-3-319-28007-3
$2
doi
035
$a
978-3-319-28007-3
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
Q387
072
7
$a
UYQ
$2
bicssc
072
7
$a
TJFM1
$2
bicssc
072
7
$a
COM004000
$2
bisacsh
082
0 4
$a
006.332
$2
23
090
$a
Q387
$b
.F771 2015
245
0 0
$a
Foundations of biomedical knowledge representation
$h
[electronic resource] :
$b
methods and applications /
$c
edited by Arjen Hommersom, Peter J.F. Lucas.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2015.
300
$a
xii, 339 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Lecture notes in computer science,
$x
0302-9743 ;
$v
9521
505
0
$a
How to Read the Book "Foundations of Biomedical Knowledge Representation" -- An Introduction to Knowledge Representation and Reasoning in Healthcare -- Representing Knowledge for Clinical Diagnostic Reasoning -- Automated Diagnosis of Breast Cancer on Medical -- Monitoring in the Healthcare Setting -- Conformance Verification of Clinical Guidelines in Presence of Computerized and Human-Enhanced -- Modelling and Monitoring the Individual Patient in Real Time -- Personalised Medicine: Taking a New Look at the Patient -- Graphical Modelling in Genetics and Systems Biology -- Chain Graphs and Gene Networks -- Prediction and Prognosis of Health and Disease -- Trajectories Through the Disease Process: Cross Sectional and Longitudinal Studies -- Dynamic Bayesian Network for Cervical Cancer Screening -- Modeling Dynamic Processes with Memory by Higher Order Temporal Models -- Treatment of Disease: The Role of Knowledge Representation for Treatment Selection -- Predicting Adverse Drug Events from Electronic Medical Records -- User Modelling for Patient Tailored Virtual Rehabilitation -- Supporting Physicians and Patients through Recommendation: Guidelines and Beyond -- A Hybrid Approach to the Verification of Computer Interpretable Guidelines -- Aggregation of Clinical Evidence Using Argumentation.
520
$a
Medicine and health care are currently faced with a significant rise in their complexity. This is partly due to the progress made during the past three decades in the fundamental biological understanding of the causes of health and disease at the molecular, (sub)cellular, and organ level. Since the end of the 1970s, when knowledge representation and reasoning in the biomedical field became a separate area of research, huge progress has been made in the development of methods and tools that are finally able to impact on the way medicine is being practiced. Even though there are huge differences in the techniques and methods used by biomedical researchers, there is now an increasing tendency to share research results in terms of formal knowledge representation methods, such as ontologies, statistical models, network models, and mathematical models. As there is an urgent need for health-care professionals to make better decisions, computer-based support using this knowledge is now becoming increasingly important. It may also be the only way to integrate research results from the different parts of the spectrum of biomedical and clinical research. The aim of this book is to shed light on developments in knowledge representation at different levels of biomedical application, ranging from human biology to clinical guidelines, and using different techniques, from probability theory and differential equations to logic. The book starts with two introductory chapters followed by 18 contributions organized in the following topical sections: diagnosis of disease; monitoring of health and disease and conformance; assessment of health and personalization; prediction and prognosis of health and disease; treatment of disease; and recommendations.
650
0
$a
Knowledge representation (Information theory)
$3
226484
650
0
$a
Artificial intelligence
$x
Biological applications.
$3
238843
650
0
$a
Artificial intelligence
$x
Medical applications.
$3
237917
650
1 4
$a
Computer Science.
$3
212513
650
2 4
$a
Artificial Intelligence (incl. Robotics)
$3
252959
650
2 4
$a
Health Informatics.
$3
274212
650
2 4
$a
Data Mining and Knowledge Discovery.
$3
275288
650
2 4
$a
Information Systems Applications (incl. Internet)
$3
530743
650
2 4
$a
Information Storage and Retrieval.
$3
274190
650
2 4
$a
Mathematical Logic and Formal Languages.
$3
275383
700
1
$a
Hommersom, Arjen.
$3
732853
700
1
$a
Lucas, Peter J.F.
$3
732854
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
830
0
$a
Lecture notes in computer science ;
$v
4891.
$3
383229
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-28007-3
950
$a
Computer Science (Springer-11645)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000120663
電子館藏
1圖書
電子書
EB Q387 F771 2015
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
http://dx.doi.org/10.1007/978-3-319-28007-3
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入