NDLI: Data mining applied to in vitro fertilization, tumor and diabetic patient data

Please wait, while we are loading the content...

Volume 21

Volume 20

Volume 19

Volume 18

Volume 18, Issue 3, December 1998

Temporal knowledge discovery in diabetus mellitus and collagen diseases

Bone-marrow post-transplant care application of data mining organisation

Discovering knowledge in DNA and protein data

Geriatric applications of Bayesian networks and survival analysis

Data mining and Chinese medicine

Drug design, protein secondary structure prediction and functional genomics

Geographic medicine and clinical microbiology

Public health surveillance using association rules

Modeling medical diagnosis of headache, brain strokes and congential malformation

Glaucoma screening using data mining techniques

Classification and feature selection applied to breast cancer diagnosis

Health care fraud investigation using data mining

Gait malfunction identification and classification

Data mining of prenatal data

Information extraction from Medline

Knowledge discovery in distributed cardiac imagebases

Prediction and knowledge mining with in vitro fertilization data

Knowledge discovery in perioperative databases

Classification of protein structure motif conformations

Similarity measures of RNA structures

Multistrategic data mining in a clinical meningoencephalitis database

Data mining applied to data on respiratory effects of air pollution

WizWhy

Data mining applied to in vitro fertilization, tumor and diabetic patient data

Data mining applications to dermatological diseases, colorectal cancer, diabetes, cardiology and medical audit systems

Volume 18, Issue 2, Aug. 1998

Volume 18, Issue 1, April 1, 1998

Data mining applied to in vitro fertilization, tumor and diabetic patient data

Content Provider	ACM Digital Library
Author	Hogl, Oliver
Abstract	We currently develop a technology to combine knowledge acquisition from domain experts and data mining thus allowing an easy and focused approach to intelligent knowledge discovery. By enabling the domain expert to enter data mining queries in his/her domain terminology and by returning findings in the same terms as well as measuring the interestingness of findings, user support is provided throughout the knowledge discovery process. In the biomedical area a project on the discovery of interesting dependencies in patient data for the purpose of quality management has been carried out within several clinics. In this sector, data mining precedes confirmative analyses by generating first hypotheses. In addition to that, a number of studies concerning the analysis of medical data, e.g. in the fields of in vitro fertilization, classification of tumors, fusion of sensor data, and diabetic patient profiling have been worked on with local university hospitals. By fusing complex medical data from various Sources and analyzing them, new discoveries, e.g. decision trees for tumors, could be made.
Starting Page	14
Ending Page	14
Page Count	1
File Format	PDF
ISSN	01635697
DOI	10.1145/956034.956058
Journal	ACM SIGBIO Newsletter (SIGB)
Volume Number	18
Issue Number	3
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	1980-03-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	In vitro fertilization Diabetic patient profiling Neurophysiological sensor data Clinical quality management Tumor classification
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Prediction and knowledge mining with in vitro fertilization data

RPCA-based tumor classification using gene expression data

The Effects and Interactions of Data Quality and Problem Complexity on Classification

Secure sensor information management and mining

Introduction to the special section on clinical data mining

Diabetic patient care using home user activity recognition

Discovery and diagnosis of behavioral transitions in patient event streams

Using Data Mining Techniques to Discover Bias Patterns in Missing Data

A Case Study of Data Quality in Text Mining Clinical Progress Notes

Data mining applied to in vitro fertilization, tumor and diabetic patient data

Similar Documents

Prediction and knowledge mining with in vitro fertilization data

RPCA-based tumor classification using gene expression data

The Effects and Interactions of Data Quality and Problem Complexity on Classification

Secure sensor information management and mining

Introduction to the special section on clinical data mining

Diabetic patient care using home user activity recognition

Discovery and diagnosis of behavioral transitions in patient event streams

Using Data Mining Techniques to Discover Bias Patterns in Missing Data

A Case Study of Data Quality in Text Mining Clinical Progress Notes

Data mining applied to in vitro fertilization, tumor and diabetic patient data