Abstract：
:Researchers have developed computer-aided decision support systems for translational medicine that aim to objectively and efficiently diagnose cancer using histopathological images. However, the performance of such systems is confounded by nonbiological experimental variations or "batch effects" that can commonly occur in histopathological data, especially when images are acquired using different imaging devices and patient samples. This is even more problematic in large-scale studies in which cross-laboratory sharing of large volumes of data is necessary. Batch effects can change quantitative morphological image features and decrease the prediction performance. Using four batches of renal tumor images, we compare one image-level and five feature-level batch effect removal methods. Principal component variation analysis shows that batch is a large source of variance in image features. Results show that feature-level normalization methods reduce batch-contributed variance to almost zero. Moreover, feature-level normalization, especially ComBatN, improves cross-batch and combined-batch prediction performance. Compared to no normalization, ComBatN improves performance in 83% and 90% of cross-batch and combined-batch prediction models, respectively.
journal_name
IEEE J Biomed Health Informjournal_title
IEEE journal of biomedical and health informaticsauthors
Kothari S,Phan JH,Stokes TH,Osunkoya AO,Young AN,Wang MDdoi
10.1109/JBHI.2013.2276766subject
Has Abstractpub_date
2014-05-01 00:00:00pages
765-72issue
3eissn
2168-2194issn
2168-2208journal_volume
18pub_type
杂志文章abstract：:The classification of six types of white blood cells (WBCs) is considered essential for leukemia diagnosis, while the classification is labor-intensive and strict with the clinical experience. To relieve the complicated process with an efficient and automatic method, we propose the Attention-aware Residual Network bas...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2020.3012711
更新日期：2020-07-29 00:00:00
abstract：:Ultrasonography has been widely used to evaluate duodenogastric reflux (DGR). But to the best of our knowledge, no automatic analysis system was developed to realize the quantitative computer-aided analysis. In this paper, we propose a system to perform the automatic detection of DGR in the ultrasonic image sequences ...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2013.2272090
更新日期：2014-01-01 00:00:00
abstract：:Applications of genomic studies are spreading rapidly in many domains of science and technology such as healthcare, biomedical research, direct-to-consumer services, and legal and forensic. However, there are a number of obstacles that make it hard to access and process a big genomic database for these applications. F...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2016.2625299
更新日期：2017-09-01 00:00:00
abstract：:Recently, 2-D/3-D switchable displays have become the mainstream in 3-D display technologies, and people can now watch 3-D movies with a naked 2-D/3-D switchable display at home. However, some studies have indicated that people might encounter visual fatigue after enjoying a 3-D film in the theater. Although 2-D/3-D s...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2017.2700794
更新日期：2018-05-01 00:00:00
abstract：:Dynamic Bayesian networks (DBNs) are temporal probabilistic graphical models that model temporal events and their causal and temporal dependencies. Temporal abstraction (TA) is a knowledge-based process that abstracts raw temporal data into higher level interval-based concepts. In this paper, we present an extended DB...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2015.2420534
更新日期：2016-05-01 00:00:00
abstract：:In recent years, we have witnessed a rapid surge in assisted living technologies due to a rapidly aging society. The aging population, the increasing cost of formal health care, the caregiver burden, and the importance that the individuals place on living independently, all motivate development of innovative-assisted ...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/jbhi.2012.2234129
更新日期：2013-05-01 00:00:00
abstract：:Technology development in wearable sensors and biosignal processing has made it possible to detect human stress from the physiological features. However, the intersubject difference in stress responses presents a major challenge for reliable and accurate stress estimation. This research proposes a novel cluster-based ...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章,随机对照试验
doi：10.1109/JBHI.2014.2311044
更新日期：2015-01-01 00:00:00
abstract：GOAL:The purpose of this study was to provide an initial examination of the utility of the Beta Process - Auto Regressive - Hidden Markov Model (BP-AR-HMM) for the prior identification of gait events. A secondary objective was to determine whether the output of the model could be used for classification and prediction ...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2020.3028827
更新日期：2020-10-05 00:00:00
abstract：:Multi-modality data convey complementary information that can be used to improve the accuracy of prediction models in disease diagnosis. However, effectively integrating multi-modality data remains a challenging problem, especially when the data are incomplete. For instance, more than half of the subjects in the Alzhe...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2017.2732287
更新日期：2018-07-01 00:00:00
abstract：:In personalized medicine, a challenging task is to identify the most effective treatment for a patient. In oncology, several computational models have been developed to predict the response of drugs to therapy. However, the performance of these models depends on multiple factors. This paper presents a new approach, ca...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2020.3004663
更新日期：2020-11-01 00:00:00
abstract：:Attribute-based encryption has been a promising encryption technology to secure personal health records (PHRs) sharing in cloud computing. PHRs consist of the patient data often collected from various sources including hospitals and general practice centres. Different patients' access policies have a common access sub...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2018.2850304
更新日期：2019-05-01 00:00:00
abstract：:There are many statistics available to the applied statistician for assessing model fit and even more methods for assessing internal and external validity. We detail a useful approach using a grid search technique that balances the internal model consistency with generalizability and can be used with models that natur...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2019.2948734
更新日期：2020-06-01 00:00:00
abstract：OBJECTIVE:to provide a proof-of-concept tool for segmenting chronic wounds and transmitting the results as instructions and coordinates to a bioprinter robot and thus facilitate the treatment of chronic wounds. METHODS:several segmentation methods used for measuring wound geometry, including edge-detection and morphol...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2017.2743526
更新日期：2018-07-01 00:00:00
abstract：:The computer-aided diagnosis for histopathological images has attracted considerable attention. Principal component analysis network (PCANet) is a novel deep learning algorithm for feature learning with the simple network architecture and parameters. In this study, a color pattern random binary hashing-based PCANet (C...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2016.2602823
更新日期：2017-09-01 00:00:00
abstract：:In the last decade, data mining techniques have been applied to sensor data in a wide range of application domains, such as healthcare monitoring systems, manufacturing processes, intrusion detection, database management, and others. Many data mining techniques are based on computing the similarity between two sensor ...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2015.2424711
更新日期：2016-05-01 00:00:00
abstract：PURPOSE:Women with BRCA1/2 mutations have higher risk for breast and ovarian cancers. Available intervention actions include prophylactic surgeries and breast screening, which vary significantly in cost, cancer prevention, and in resulting death from other causes. We present a model designed to yield optimal interventi...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2014.2319246
更新日期：2015-03-01 00:00:00
abstract：:MicroRNAs (miRNAs) are a type of RNAs, which are responsible for monitoring the gene expression values. Recent research asserts that miRNAs form some clustering on chromosomes. The miRNAs belonging to a particular cluster are highly similar in terms of their activity and they are termed as "coregulated" miRNAs. The cu...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2017.2784898
更新日期：2018-09-01 00:00:00
abstract：:The functional magnetic resonance imaging (fMRI) is a noninvasive technique for studying brain activity, such as brain network analysis, neural disease automated diagnosis and so on. However, many existing methods have some drawbacks, such as limitations of graph theory, lack of global topology characteristic, local s...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2020.2983456
更新日期：2021-01-01 00:00:00
abstract：:Surface electromyography (sEMG) is widely used in evaluating the functional status of the hand to assist in hand gesture recognition, prosthetics and rehabilitation applications. The sEMG is a noninvasive, easy to record signal of superficial muscles from the skin surface. Considering the nonstationary characteristics...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2014.2326660
更新日期：2015-03-01 00:00:00
abstract：:Comorbidity is an important factor to consider when trying to predict the cost of treating asthma patients. When an asthmatic patient suffered from comorbidity, the cost of treating such a patient becomes dependent on the nature of the comorbidity. Therefore, lack of recognition of comorbidity on asthmatic patient pos...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2020.3034092
更新日期：2020-10-27 00:00:00
abstract：:Many clinical studies have revealed the high biological similarities existing among different skin pathological states. These similarities create difficulties in the efficient diagnosis of skin cancer, and encourage to study and design new intelligent clinical decision support systems. In this sense, gene expression a...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2019.2953978
更新日期：2020-07-01 00:00:00
abstract：:Mental illness has a deep impact on individuals, families, and by extension, society as a whole. Social networks allow individuals with mental disorders to communicate with others sufferers via online communities, providing an invaluable resource for studies on textual signs of psychological health problems. Mental di...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2016.2543741
更新日期：2016-07-01 00:00:00
abstract：:The most commonly used oscillometric upper-arm (UA) blood pressure (BP) monitors are not convenient enough for ambulatory BP monitoring, given the large size of the arm cuff and the compression of UA during the measurement. Finger-worn oscillometric BP devices featuring miniaturized finger cuff have been developed and...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2019.2919896
更新日期：2020-02-01 00:00:00
abstract：:This paper proposes an anaesthesia monitoring system that accurately measures the depth of anaesthesia through 40-Hz auditory steady-state response. With accurate and fast depth of anaesthesia measuring, the monitor can reduce the incidence of awareness during surgical operation. The proposed denoising method for extr...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2017.2778140
更新日期：2018-11-01 00:00:00
abstract：:Radio-frequency catheter ablation (RCA) is an established treatment for ventricular tachycardia (VT). A key feature of the RCA procedure is the need for a mapping approach that facilitates the identification of the target ablation site. In this study, we investigate the effect of the location of the reference potentia...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2013.2268012
更新日期：2014-01-01 00:00:00
abstract：:The development of the narrow-band imaging (NBI) has been increasing the interest of medical specialists in the study of laryngeal microvascular network to establish diagnosis without biopsy and pathological examination. A possible solution to this challenging problem is presented in this paper, which proposes an auto...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2014.2374975
更新日期：2016-01-01 00:00:00
abstract：:Owing to the high incidence rate and the severe impact of skin cancer, the precise diagnosis of malignant skin tumors is a significant goal, especially considering treatment is normally effective if the tumor is detected early. Limited published histopathological image sets and the lack of an intuitive correspondence ...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2021.3052044
更新日期：2021-01-15 00:00:00
abstract：:The level set based deformable models (LDM) are commonly used for medical image segmentation. However, they rely on a handcrafted curve evolution velocity that needs to be adapted for each segmentation task. The Convolutional Neural Networks (CNN) address this issue by learning robust features in a supervised end-to-e...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2018.2852635
更新日期：2019-05-01 00:00:00
abstract：:This paper proposes a novel hybrid network named multiple-feature-branch convolutional bidirectional recurrent neural network (MFB-CBRNN) for myocardial infarction (MI) detection using 12-lead ECGs. The model efficiently combines convolutional neural network-based and recurrent neural network-based structures. Each fe...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2019.2910082
更新日期：2020-02-01 00:00:00
abstract：:To achieve effective and efficient detection of Alzheimer's disease (AD), many machine learning methods have been introduced into this realm. However, the general case of limited training samples, as well as different feature representations typically makes this problem challenging. In this paper, we propose a novel m...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2013.2285378
更新日期：2014-05-01 00:00:00
