A review of analytical techniques for gait data. Part 2: neural network and wavelet methods

T Chau - Gait & posture, 2001 - Elsevier
Multivariate gait data have traditionally been challenging to analyze. Part 1 of this review
explored applications of fuzzy, multivariate statistical and fractal methods to gait data …

Medical image databases: A content-based retrieval approach

HD Tagare, CC Jaffe, J Duncan - Journal of the American …, 1997 - academic.oup.com
Abstract Information contained in medical images differs considerably from that residing in
alphanumeric format. The difference can be attributed to four characteristics:(1) the …

[HTML][HTML] ARTMAP-IC and medical diagnosis: Instance counting and inconsistent cases

GA Carpenter, N Markuzon - Neural Networks, 1998 - Elsevier
For complex database prediction problems such as medical diagnosis, the ARTMAP-IC
neural network adds distributed prediction and category instance counting to the basic fuzzy …

Incremental clustering classifier and predictor

M Hadzikadic, BF Bohren, CN Eichelberger - US Patent 7,213,023, 2007 - Google Patents
Weighted voting over each value of target attributes to calculate a prediction pro? le. The
present invention also alloWs an operator to determine the importance of attributes and …

Attitudes toward standardized data collection

L Russek, M Wooden, S Ekedahl, A Bush - Physical therapy, 1997 - academic.oup.com
Background and Purpose. Clinical databases will gain importance as physical therapists
need to determine the effectiveness and justify the expense of treatment. Obstacles …

An artificial immune system-based algorithm for abnormal pattern in medical domain

L Sharmila, U Sakthi - The Journal of Supercomputing, 2020 - Springer
In general, medical pattern is a collection of characters formed using the characters such as
'a','c','g'and 't'. The length of the pattern varies from one disease to another disease, and the …

A study of image retrieval system based on feature extraction, selection, classification and similarity measurements

J Yogapriya, C Saravanabhavan… - Journal of Medical …, 2018 - ingentaconnect.com
The image contents are considerably increasing in the present digital world. The retrieval of
images plays a major role in various domains such as geographical information satellite …

Automatic Edge Detection Model of MR Images Based on Deep Learning Approach

J Mehena, S Mishra - Computational Intelligence in Healthcare Informatics, 2024 - Springer
In medical imaging automatic computer-based diagnosis is taken into account because the
most difficult issues within the area of medical image process. Pattern recognition, machine …

Classification of Cardiovascular Disease Information System Using Machine Learning Approaches Subham Kumar Padhy, Anjali Mohapatra, and Sabyasachi Patra

SK Padhy - Computational Intelligence in Healthcare Informatics, 2024 - books.google.com
Recent advancements in computational approaches have facilitated the storage and
collection of medical data for accurate medical diagnosis. Various computational techniques …

Data-oriented analyses of ciliate foraging behaviors

YC Chang, JC Yan, JS Hwang, CH Wu, MT Lee - Hydrobiologia, 2011 - Springer
Optimal foraging theory states that natural selection makes foragers efficient food harvesters
and maximizing a colony's energy intake. This study presumed that the ciliates foraging …