語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Computational mathematics and modelling for diabetes
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Computational mathematics and modelling for diabetes/ edited by Abdesslam Boutayeb, Mohamed E.N. Lamlili.
其他作者:
Lamlili, Mohamed E. N.
出版者:
Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:
xviii, 339 p. :ill., digital ; : 24 cm.;
Contained By:
Springer Nature eBook
標題:
Applications of Mathematics. -
電子資源:
https://doi.org/10.1007/978-981-96-1925-2
ISBN:
9789819619252
Computational mathematics and modelling for diabetes
Computational mathematics and modelling for diabetes
[electronic resource] /edited by Abdesslam Boutayeb, Mohamed E.N. Lamlili. - Singapore :Springer Nature Singapore :2025. - xviii, 339 p. :ill., digital ;24 cm. - Industrial and applied mathematics,2364-6845. - Industrial and applied mathematics..
Chapter 1 A Systematic Review of Mathematical Models Dealing with Diabetes Population Dynamics -- Chapter 2 Mathematical Modelling for Glucose Homeostasis and Associated Mechanisms a State-of-the-Art Review -- Chapter 3 A Comprehensive Review of Mathematical and Data-driven Models in Glucose Homeostasis and Diabetes Pathways.
This book is a theoretical and pragmatic tool that applies mathematical modelling in understanding and managing diabetes and related complications such as diabetes predisposition, diabetes onset, regular glycaemic monitoring, glycated haemoglobin HbA1c, diabetes homeostasis, gestational diabetes and other associated diseases and conditions. Chapters in the book provide mathematical models dealing with the dynamics of insulin/glucose, the evolution from pre-diabetes to diabetes without and with complications, gestational diabetes and the association between diabetes and benign prostatic hyperplasia. It also applies new methods such as data mining, machine learning and deep learning. By offering pragmatic examples and comprehensive reviews on mathematical models used for diabetes, this book is useful for advanced researchers, academic teachers, students, scientists and high pharmaceutical industry executives willing to start modelling.
ISBN: 9789819619252
Standard No.: 10.1007/978-981-96-1925-2doiSubjects--Topical Terms:
669175
Applications of Mathematics.
LC Class. No.: RC660 / .C66 2025
Dewey Class. No.: 616.4620015118
Computational mathematics and modelling for diabetes
LDR
:02419nam a2200361 a 4500
001
1162542
003
DE-He213
005
20250529130257.0
006
m d
007
cr nn 008maaau
008
251029s2025 si s 0 eng d
020
$a
9789819619252
$q
(electronic bk.)
020
$a
9789819619245
$q
(paper)
024
7
$a
10.1007/978-981-96-1925-2
$2
doi
035
$a
978-981-96-1925-2
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
RC660
$b
.C66 2025
072
7
$a
PBWH
$2
bicssc
072
7
$a
TBJ
$2
bicssc
072
7
$a
MAT003000
$2
bisacsh
072
7
$a
PBWH
$2
thema
072
7
$a
TBJ
$2
thema
082
0 4
$a
616.4620015118
$2
23
090
$a
RC660
$b
.C738 2025
245
0 0
$a
Computational mathematics and modelling for diabetes
$h
[electronic resource] /
$c
edited by Abdesslam Boutayeb, Mohamed E.N. Lamlili.
260
$a
Singapore :
$c
2025.
$b
Springer Nature Singapore :
$b
Imprint: Springer,
300
$a
xviii, 339 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Industrial and applied mathematics,
$x
2364-6845
505
0
$a
Chapter 1 A Systematic Review of Mathematical Models Dealing with Diabetes Population Dynamics -- Chapter 2 Mathematical Modelling for Glucose Homeostasis and Associated Mechanisms a State-of-the-Art Review -- Chapter 3 A Comprehensive Review of Mathematical and Data-driven Models in Glucose Homeostasis and Diabetes Pathways.
520
$a
This book is a theoretical and pragmatic tool that applies mathematical modelling in understanding and managing diabetes and related complications such as diabetes predisposition, diabetes onset, regular glycaemic monitoring, glycated haemoglobin HbA1c, diabetes homeostasis, gestational diabetes and other associated diseases and conditions. Chapters in the book provide mathematical models dealing with the dynamics of insulin/glucose, the evolution from pre-diabetes to diabetes without and with complications, gestational diabetes and the association between diabetes and benign prostatic hyperplasia. It also applies new methods such as data mining, machine learning and deep learning. By offering pragmatic examples and comprehensive reviews on mathematical models used for diabetes, this book is useful for advanced researchers, academic teachers, students, scientists and high pharmaceutical industry executives willing to start modelling.
650
2 4
$a
Applications of Mathematics.
$3
669175
650
1 4
$a
Mathematical Modeling and Industrial Mathematics.
$3
669172
650
0
$a
Diabetes
$x
Mathematical models.
$3
1489343
700
1
$a
Lamlili, Mohamed E. N.
$3
1489342
700
1
$a
Boutayeb, Abdesslam.
$e
editor.
$3
1316926
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
830
0
$a
Industrial and applied mathematics.
$3
1070535
856
4 0
$u
https://doi.org/10.1007/978-981-96-1925-2
950
$a
Mathematics and Statistics (SpringerNature-11649)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入