(Q102152351)

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:33208887%20AND%20SRC:MED&resulttype=core&format=json

20 November 2020

title

Risk prediction for malignant intraductal papillary mucinous neoplasm of the pancreas: logistic regression versus machine learning (English)

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:33208887%20AND%20SRC:MED&resulttype=core&format=json

Intraductal papillary mucinous neoplasm

20 November 2020

main subject

machine learning

0 references

1 reference

1 reference

8

Claudio Bassi

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:33208887%20AND%20SRC:MED&resulttype=core&format=json

20 November 2020

author name string

Jae Seung Kang

1

1 reference

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20 November 2020

Chanhee Lee

2

1 reference

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20 November 2020

Wookyeong Song

3

1 reference

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20 November 2020

Wonho Choo

4

1 reference

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20 November 2020

Seungyeoun Lee

5

1 reference

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20 November 2020

Sungyoung Lee

6

1 reference

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20 November 2020

Youngmin Han

7

1 reference

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20 November 2020

Roberto Salvia

9

1 reference

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20 November 2020

Giovanni Marchegiani

10

1 reference

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20 November 2020

Cristopher L Wolfgang

11

1 reference

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20 November 2020

Jin He

12

1 reference

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20 November 2020

Alex B Blair

13

1 reference

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20 November 2020

Michael D Kluger

14

1 reference

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20 November 2020

Gloria H Su

15

1 reference

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20 November 2020

Song Cheol Kim

16

1 reference

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20 November 2020

Ki-Byung Song

17

1 reference

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20 November 2020

Masakazu Yamamoto

18

1 reference

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20 November 2020

Ryota Higuchi

19

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20 November 2020

Takashi Hatori

20

1 reference

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20 November 2020

Ching-Yao Yang

21

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20 November 2020

Hiroki Yamaue

22

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20 November 2020

Seiko Hirono

23

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20 November 2020

Sohei Satoi

24

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20 November 2020

Tsutomu Fujii

25

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20 November 2020

Satoshi Hirano

26

1 reference

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20 November 2020

Wenhui Lou

27

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20 November 2020

Yasushi Hashimoto

28

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20 November 2020

Yasuhiro Shimizu

29

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20 November 2020

Marco Del Chiaro

30

1 reference

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20 November 2020

Roberto Valente

31

1 reference

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20 November 2020

Matthias Lohr

32

1 reference

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20 November 2020

Dong Wook Choi

33

1 reference

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20 November 2020

Seong Ho Choi

34

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20 November 2020

Jin Seok Heo

35

1 reference

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20 November 2020

Fuyuhiko Motoi

36

1 reference

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20 November 2020

Ippei Matsumoto

37

1 reference

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20 November 2020

Woo Jung Lee

38

1 reference

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20 November 2020

Chang Moo Kang

39

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20 November 2020

Yi-Ming Shyr

40

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20 November 2020

Shin-E Wang

41

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20 November 2020

Ho-Seong Han

42

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20 November 2020

Yoo-Seok Yoon

43

1 reference

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20 November 2020

Marc G Besselink

44

1 reference

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20 November 2020

Nadine C M van Huijgevoort

45

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20 November 2020

Masayuki Sho

46

1 reference

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20 November 2020

Hiroaki Nagano

47

1 reference

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20 November 2020

Sang Geol Kim

48

1 reference

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20 November 2020

Goro Honda

49

1 reference

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20 November 2020

Yinmo Yang

50

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20 November 2020

Hee Chul Yu

51

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20 November 2020

Jae Do Yang

52

1 reference

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20 November 2020

Jun Chul Chung

53

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20 November 2020

Yuichi Nagakawa

54

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20 November 2020

Hyung Il Seo

55

1 reference

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20 November 2020

Yoo Jin Choi

56

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20 November 2020

Yoonhyeong Byun

57

1 reference

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20 November 2020

Hongbeom Kim

58

1 reference

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20 November 2020

Wooil Kwon

59

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20 November 2020

Taesung Park

60

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20 November 2020

Jin-Young Jang

61

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20 November 2020

publication date

18 November 2020

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20 November 2020

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20 November 2020

volume

10

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20 November 2020

issue

1

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20 November 2020

page(s)

20140

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Revisions of international consensus Fukuoka guidelines for the management of IPMN of the pancreas

20 November 2020

cites work

1 reference

https://api.crossref.org/works/10.1038%2FS41598-020-76974-7

7 January 2021

Clinical validation of the 2017 international consensus guidelines on intraductal papillary mucinous neoplasm of the pancreas

1 reference

https://api.crossref.org/works/10.1038%2FS41598-020-76974-7

7 January 2021

Development and Validation of a Multi-Institutional Preoperative Nomogram for Predicting Grade of Dysplasia in Intraductal Papillary Mucinous Neoplasms (IPMNs) of the Pancreas: A Report from The Pancreatic Surgery Consortium

1 reference

https://api.crossref.org/works/10.1038%2FS41598-020-76974-7

7 January 2021

Proposed Nomogram Predicting the Individual Risk of Malignancy in the Patients With Branch Duct Type Intraductal Papillary Mucinous Neoplasms of the Pancreas

1 reference

https://api.crossref.org/works/10.1038%2FS41598-020-76974-7

7 January 2021

New Model for Predicting Malignancy in Patients With Intraductal Papillary Mucinous Neoplasm

1 reference

https://api.crossref.org/works/10.1038%2FS41598-020-76974-7

7 January 2021

Machine Learning in Medical Imaging: All Journeys Begin With a Single Step

1 reference

https://api.crossref.org/works/10.1038%2FS41598-020-76974-7

7 January 2021

Machine Learning Methods for Histopathological Image Analysis

1 reference

https://api.crossref.org/works/10.1038%2FS41598-020-76974-7

7 January 2021

Machine learning applications in cancer prognosis and prediction

1 reference

https://api.crossref.org/works/10.1038%2FS41598-020-76974-7

7 January 2021

Discrimination of Breast Cancer with Microcalcifications on Mammography by Deep Learning

1 reference

https://api.crossref.org/works/10.1038%2FS41598-020-76974-7

7 January 2021

Validation of a nomogram to predict the risk of cancer in patients with intraductal papillary mucinous neoplasm and main duct dilatation of 10 mm or less

1 reference

https://api.crossref.org/works/10.1038%2FS41598-020-76974-7

7 January 2021

A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models

1 reference

https://api.crossref.org/works/10.1038%2FS41598-020-76974-7

7 January 2021

Role of Big Data and Machine Learning in Diagnostic Decision Support in Radiology.

1 reference

https://api.crossref.org/works/10.1038%2FS41598-020-76974-7

7 January 2021

Prediction of postoperative disease-free survival and brain metastasis for HER2-positive breast cancer patients treated with neoadjuvant chemotherapy plus trastuzumab using a machine learning algorithm

1 reference

https://api.crossref.org/works/10.1038%2FS41598-020-76974-7

7 January 2021

Deep Learning in Mammography: Diagnostic Accuracy of a Multipurpose Image Analysis Software in the Detection of Breast Cancer

1 reference

https://api.crossref.org/works/10.1038%2FS41598-020-76974-7

7 January 2021

Machine learning, medical diagnosis, and biomedical engineering research - commentary

1 reference

https://api.crossref.org/works/10.1038%2FS41598-020-76974-7

7 January 2021

Predicting urinary tract infections in the emergency department with machine learning.

1 reference

https://api.crossref.org/works/10.1038%2FS41598-020-76974-7

7 January 2021

Predictive analytics with gradient boosting in clinical medicine

1 reference

https://api.crossref.org/works/10.1038%2FS41598-020-76974-7

7 January 2021

Multicenter Comparison of Machine Learning Methods and Conventional Regression for Predicting Clinical Deterioration on the Wards

1 reference

https://api.crossref.org/works/10.1038%2FS41598-020-76974-7

7 January 2021

Prediction of delayed graft function after kidney transplantation: comparison between logistic regression and machine learning methods

1 reference

https://api.crossref.org/works/10.1038%2FS41598-020-76974-7

7 January 2021

A machine learning model to predict the risk of 30-day readmissions in patients with heart failure: a retrospective analysis of electronic medical records data.

1 reference

https://api.crossref.org/works/10.1038%2FS41598-020-76974-7

7 January 2021

Prediction of Acute Kidney Injury after Liver Transplantation: Machine Learning Approaches vs. Logistic Regression Model

1 reference

https://api.crossref.org/works/10.1038%2FS41598-020-76974-7

7 January 2021

Prediction of 30-Day All-Cause Readmissions in Patients Hospitalized for Heart Failure: Comparison of Machine Learning and Other Statistical Approaches

1 reference

https://api.crossref.org/works/10.1038%2FS41598-020-76974-7

7 January 2021

Mortality risk prediction in burn injury: Comparison of logistic regression with machine learning approaches.

1 reference

https://api.crossref.org/works/10.1038%2FS41598-020-76974-7

7 January 2021

Rise of Deep Learning for Genomic, Proteomic, and Metabolomic Data Integration in Precision Medicine

1 reference

https://api.crossref.org/works/10.1038%2FS41598-020-76974-7

7 January 2021

A Revised Classification System and Recommendations From the Baltimore Consensus Meeting for Neoplastic Precursor Lesions in the Pancreas

1 reference

https://api.crossref.org/works/10.1038%2FS41598-020-76974-7

7 January 2021

10.1038/S41598-020-76974-7

Identifiers

DOI

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:33208887%20AND%20SRC:MED&resulttype=core&format=json

20 November 2020

1 reference