听力与言语-语言病理学

行为科学

医学伦理学

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  • Assessing drug effect from distributional data: A population approach with application to Duchenne Muscular Dystrophy treatment.

    abstract:BACKGROUND AND OBJECTIVE:In Duchenne Muscular Dystrophy (DMD) treatment, muscle fiber size can be considered as an indicator of muscle health and function. In particular, the statistical distribution of fibers cross-sectional areas (CSAs) has been used as quantitative efficacy endpoint. For each patient, assessment of ...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2019.06.002

    authors: Lavezzi SM,Rocchetti M,Bettica P,Petrini S,De Nicolao G

    更新日期:2019-09-01 00:00:00

  • Global parenchymal texture features based on histograms of oriented gradients improve cancer development risk estimation from healthy breasts.

    abstract:BACKGROUND:The breast dense tissue percentage on digital mammograms is one of the most commonly used markers for breast cancer risk estimation. Geometric features of dense tissue over the breast and the presence of texture structures contained in sliding windows that scan the mammograms may improve the predictive abili...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2019.05.022

    authors: Pérez-Benito FJ,Signol F,Pérez-Cortés JC,Pollán M,Pérez-Gómez B,Salas-Trejo D,Casals M,Martínez I,LLobet R

    更新日期:2019-08-01 00:00:00

  • Development and use of a Cytoscape app for GRNCOP2.

    abstract:BACKGROUND AND OBJECTIVE:Gene regulatory networks (GRNs) are essential for understanding most molecular processes. In this context, the so-called model-free approaches have an advantage modeling the complex topologies behind these dynamic molecular networks, since most GRNs are difficult to map correctly by any other m...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2019.05.030

    authors: Díaz-Montaña JJ,Díaz-Díaz N,Barranco CD,Ponzoni I

    更新日期:2019-08-01 00:00:00

  • Combining convolutional neural networks and star convex cuts for fast whole spine vertebra segmentation in MRI.

    abstract:BACKGROUND AND OBJECTIVE:We propose an automatic approach for fast vertebral body segmentation in three-dimensional magnetic resonance images of the whole spine. Previous works are limited to the lower thoracolumbar section and often take minutes to compute, which is problematic in clinical routine, for study data sets...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2019.05.003

    authors: Rak M,Steffen J,Meyer A,Hansen C,Tönnies KD

    更新日期:2019-08-01 00:00:00

  • Predicting daily outcomes in acetaminophen-induced acute liver failure patients with machine learning techniques.

    abstract:BACKGROUND/OBJECTIVE:Assessing prognosis for acetaminophen-induced acute liver failure (APAP-ALF) patients during the first week of hospitalization often presents significant challenges. Current models such as the King's College Criteria (KCC) and the Acute Liver Failure Study Group (ALFSG) Prognostic Index are develop...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2019.04.012

    authors: Speiser JL,Karvellas CJ,Wolf BJ,Chung D,Koch DG,Durkalski VL

    更新日期:2019-07-01 00:00:00

  • MLSeq: Machine learning interface for RNA-sequencing data.

    abstract:BACKGROUND AND OBJECTIVE:In the last decade, RNA-sequencing technology has become method-of-choice and prefered to microarray technology for gene expression based classification and differential expression analysis since it produces less noisy data. Although there are many algorithms proposed for microarray data, the n...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2019.04.007

    authors: Goksuluk D,Zararsiz G,Korkmaz S,Eldem V,Zararsiz GE,Ozcetin E,Ozturk A,Karaagaoglu AE

    更新日期:2019-07-01 00:00:00

  • A new approach for arrhythmia classification using deep coded features and LSTM networks.

    abstract:BACKGROUND AND OBJECTIVE:For diagnosis of arrhythmic heart problems, electrocardiogram (ECG) signals should be recorded and monitored. The long-term signal records obtained are analyzed by expert cardiologists. Devices such as the Holter monitor have limited hardware capabilities. For improved diagnostic capacity, it w...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2019.05.004

    authors: Yildirim O,Baloglu UB,Tan RS,Ciaccio EJ,Acharya UR

    更新日期:2019-07-01 00:00:00

  • Analysis of parameters affecting blood oxygen saturation and modeling of fuzzy logic system for inspired oxygen prediction.

    abstract:BACKGROUND AND OBJECTIVE:Fraction of Inspired Oxygen is one of the arbitrary set ventilator parameters which has critical influence on the concentration of blood oxygen. Normally mechanical ventilators providing respiratory assistance are tuned manually to supply required inspired oxygen to keep the oxygen saturation a...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2019.04.014

    authors: Radhakrishnan S,Nair SG,Isaac J

    更新日期:2019-07-01 00:00:00

  • Analyzing hedyotis diffusa mechanisms of action from the genomics perspective.

    abstract:BACKGROUND AND OBJECTIVE:Hedyotis diffusa is an herb used for anti-cancer, anti-oxidant, anti-inflammatory, and anti-fibroblast treatment in the clinical practice of Traditional Chinese Medicine. However, its pharmacological mechanisms have not been fully established and there is a lack of modern scientific verificatio...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2018.10.019

    authors: Hu CJ,He J,Li GZ,Fang PP,Xie JD,Ding YW,Mao YQ,Hu KF

    更新日期:2019-06-01 00:00:00

  • Reinforcement learning-based control of tumor growth under anti-angiogenic therapy.

    abstract:BACKGROUND AND OBJECTIVES:In recent decades, cancer has become one of the most fatal and destructive diseases which is threatening humans life. Accordingly, different types of cancer treatment are studied with the main aim to have the best treatment with minimum side effects. Anti-angiogenic is a molecular targeted the...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2019.03.004

    authors: Yazdjerdi P,Meskin N,Al-Naemi M,Al Moustafa AE,Kovács L

    更新日期:2019-05-01 00:00:00

  • Human identification using a new matching Pursuit-based feature set of ECG.

    abstract:BACKGROUND AND OBJECTIVE:In recent years, many attempts have been made to design reliable systems for identifying individuals using biometrics. Electrocardiogram (ECG) biometric is one of the newest methods that not only offers unique characteristics of individuals for human identification, but also the possibility of ...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2019.02.009

    authors: Goshvarpour A,Goshvarpour A

    更新日期:2019-04-01 00:00:00

  • Modelling intestinal glucose absorption in premature infants using continuous glucose monitoring data.

    abstract:BACKGROUND:Model-based glycaemic control protocols have shown promise in neonatal intensive care units (NICUs) for reducing both hyperglycaemia and insulin-therapy driven hypoglycaemia. However, current models for the appearance of glucose from enteral feeding are based on values from adult intensive care cohorts. This...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2018.10.005

    authors: Knopp JL,Signal M,Harris DL,Marics G,Weston P,Harding J,Tóth-Heyn P,Hómlok J,Benyó B,Chase JG

    更新日期:2019-04-01 00:00:00

  • A propagation-DNN: Deep combination learning of multi-level features for MR prostate segmentation.

    abstract:BACKGROUND AND OBJECTIVE:Prostate segmentation on Magnetic Resonance (MR) imaging is problematic because disease changes the shape and boundaries of the gland and it can be difficult to separate the prostate from surrounding tissues. We propose an automated model that extracts and combines multi-level features in a dee...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2018.12.031

    authors: Yan K,Wang X,Kim J,Khadra M,Fulham M,Feng D

    更新日期:2019-03-01 00:00:00

  • Automatic quantification of the LV function and mass: A deep learning approach for cardiovascular MRI.

    abstract:OBJECTIVE:This paper proposes a novel approach for automatic left ventricle (LV) quantification using convolutional neural networks (CNN). METHODS:The general framework consists of one CNN for detecting the LV, and another for tissue classification. Also, three new deep learning architectures were proposed for LV quan...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2018.12.002

    authors: Curiale AH,Colavecchia FD,Mato G

    更新日期:2019-02-01 00:00:00

  • compound.Cox: Univariate feature selection and compound covariate for predicting survival.

    abstract:BACKGROUND AND OBJECTIVE:Univariate feature selection is one of the simplest and most commonly used techniques to develop a multigene predictor for survival. Presently, there is no software tailored to perform univariate feature selection and predictor construction. METHODS:We develop the compound.Cox R package that i...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2018.10.020

    authors: Emura T,Matsui S,Chen HY

    更新日期:2019-01-01 00:00:00

  • Classification of auditory selective attention using spatial coherence and modular attention index.

    abstract:BACKGROUND AND OBJECTIVE:Brain-Computer Interfaces (BCIs) based on auditory selective attention have been receiving much attention because i) they are useful for completely paralyzed users since they do not require muscular effort or gaze and ii) focusing attention is a natural human ability. Several techniques - such ...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2018.10.002

    authors: de Souza AP,Soares QB,Felix LB,Mendes EMAM

    更新日期:2018-11-01 00:00:00

  • Cascaded classifiers and stacking methods for classification of pulmonary nodule characteristics.

    abstract:BACKGROUND AND OBJECTIVES:Detection and classification of pulmonary nodules are critical tasks in medical image analysis. The Lung Image Database Consortium (LIDC) database is a widely used resource for small pulmonary nodule classification research. This dataset is comprised of nodule characteristic evaluations and CT...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2018.10.009

    authors: Kaya A

    更新日期:2018-11-01 00:00:00

  • Deep neural models for extracting entities and relationships in the new RDD corpus relating disabilities and rare diseases.

    abstract:BACKGROUND AND OBJECTIVE:There is a huge amount of rare diseases, many of which have associated important disabilities. It is paramount to know in advance the evolution of the disease in order to limit and prevent the appearance of disabilities and to prepare the patient to manage the future difficulties. Rare disease ...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2018.07.007

    authors: Fabregat H,Araujo L,Martinez-Romo J

    更新日期:2018-10-01 00:00:00

  • Non-invasive assessment of liver quality in transplantation based on thermal imaging analysis.

    abstract:BACKGROUND AND OBJECTIVE:Liver quality evaluation is one of the vital steps for predicting the success of liver transplantation. Current evaluation methods, such as biopsy and visual inspection, which are either invasive or lack of consistent standards, provide limited predictive value of long-term transplant viability...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2018.06.003

    authors: Lan Q,Sun H,Robertson J,Deng X,Jin R

    更新日期:2018-10-01 00:00:00

  • BE-DTI': Ensemble framework for drug target interaction prediction using dimensionality reduction and active learning.

    abstract:BACKGROUND AND OBJECTIVE:Drug-target interaction prediction plays an intrinsic role in the drug discovery process. Prediction of novel drugs and targets helps in identifying optimal drug therapies for various stringent diseases. Computational prediction of drug-target interactions can help to identify potential drug-ta...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2018.08.011

    authors: Sharma A,Rani R

    更新日期:2018-10-01 00:00:00

  • Fast unsupervised nuclear segmentation and classification scheme for automatic allred cancer scoring in immunohistochemical breast tissue images.

    abstract:BACKGROUND AND OBJECTIVE:This paper presents an improved scheme able to perform accurate segmentation and classification of cancer nuclei in immunohistochemical (IHC) breast tissue images in order to provide quantitative evaluation of estrogen or progesterone (ER/PR) receptor status that will assist pathologists in can...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2018.08.005

    authors: Mouelhi A,Rmili H,Ali JB,Sayadi M,Doghri R,Mrad K

    更新日期:2018-10-01 00:00:00

  • Fetal health status prediction based on maternal clinical history using machine learning techniques.

    abstract:BACKGROUND AND OBJECTIVE:Congenital anomalies are seen at 1-3% of the population, probabilities of which are tried to be found out primarily through double, triple and quad tests during pregnancy. Also, ultrasonographical evaluations of fetuses enhance detecting and defining these abnormalities. About 60-70% of the ano...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2018.06.010

    authors: Akbulut A,Ertugrul E,Topcu V

    更新日期:2018-09-01 00:00:00

  • State-of-the-art review on automated lumen and adventitial border delineation and its measurements in carotid ultrasound.

    abstract:BACKGROUND AND OBJECTIVE:Accurate, reliable, efficient, and precise measurements of the lumen geometry of the common carotid artery (CCA) are important for (a) managing the progression/regression of atherosclerotic build-up and (b) the risk of stroke. The image-based degree of stenosis in the carotid artery and the pla...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章,评审

    doi:10.1016/j.cmpb.2018.05.015

    authors: Kumar PK,Araki T,Rajan J,Laird JR,Nicolaides A,Suri JS,Fellow AIMBE.

    更新日期:2018-09-01 00:00:00

  • A mobile computer aided system for optic nerve head detection.

    abstract:BACKGROUND AND OBJECTIVE:The detection of optic nerve head (ONH) in retinal fundus images plays a key role in identifying Diabetic Retinopathy (DR) as well as other abnormal conditions in eye examinations. This paper presents a method and its associated software towards the development of an Android smartphone app base...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2018.05.004

    authors: Elloumi Y,Akil M,Kehtarnavaz N

    更新日期:2018-08-01 00:00:00

  • How the gender of a victim character in a virtual scenario created to learn CPR protocol affects student nurses' performance.

    abstract:BACKGROUND AND OBJECTIVE:Virtual simulations recreate scenarios where student nurses can practice procedures in a safe and supervised manner and with no risk to the patient. Virtual scenarios include digital characters that reproduce human actions. Generally, these characters are modeled as males and restricted roles a...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2018.05.019

    authors: Boada I,Rodriguez-Benitez A,Thió-Henestrosa S,Olivet J,Soler J

    更新日期:2018-08-01 00:00:00

  • Adaptive median binary patterns for fully automatic nerves tracking in ultrasound images.

    abstract:BACKGROUND AND OBJECTIVE:In the last decade, Ultrasound-Guided Regional Anesthesia (UGRA) gained importance in surgical procedures and pain management, due to its ability to perform target delivery of local anesthetics under direct sonographic visualization. However, practicing UGRA can be challenging, since it require...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2018.03.013

    authors: Alkhatib M,Hafiane A,Tahri O,Vieyres P,Delbos A

    更新日期:2018-07-01 00:00:00

  • Minimal ensemble based on subset selection using ECG to diagnose categories of CAN.

    abstract:BACKGROUND AND OBJECTIVE:Early diagnosis of cardiac autonomic neuropathy (CAN) is critical for reversing or decreasing its progression and prevent complications. Diagnostic accuracy or precision is one of the core requirements of CAN detection. As the standard Ewing battery tests suffer from a number of shortcomings, r...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2018.01.019

    authors: Abawajy J,Kelarev A,Yi X,Jelinek HF

    更新日期:2018-07-01 00:00:00

  • Development of a child head analytical dynamic model considering cranial nonuniform thickness and curvature - Applying to children aged 0-1 years old.

    abstract:BACKGROUND AND OBJECTIVE:Although analytical models have been used to quickly predict head response under impact condition, the existing models generally took the head as regular shell with uniform thickness which cannot account for the actual head geometry with varied cranial thickness and curvature at different locat...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2018.04.022

    authors: Li Z,Ji C,Wang L

    更新日期:2018-07-01 00:00:00

  • A computerized method for evaluating scoliotic deformities using elliptical pattern recognition in X-ray spine images.

    abstract:BACKGROUND AND OBJECTIVE:Several studies have evaluated the reproducibility of the Cobb angle for measuring the degree of scoliotic deformities from X-ray spine images, and proposed different geometric models for describing the spinal curvature. The ellipse was shown to be an adequate geometric form, but was not yet ap...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2018.04.015

    authors: Pinheiro AP,Coelho JC,Veiga ACP,Vrtovec T

    更新日期:2018-07-01 00:00:00

  • Electronic health record with computerized decision support tools for the purposes of a pediatric cardiovascular heart disease screening program in Crete.

    abstract:BACKGROUND AND OBJECTIVE:Early detection of cardiovascular (CV) disease or associated risk factors during childhood is of paramount importance, allowing for early treatment or lifestyle modifications, respectively. The objective of this study was to describe the development of an electronic health record (EHR), with in...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2018.03.009

    authors: Chatzakis I,Vassilakis K,Lionis C,Germanakis I

    更新日期:2018-06-01 00:00:00

  • Assessment of auditory threshold using Multiple Magnitude-Squared Coherence and amplitude modulated tones monaural stimulation around 40 Hz.

    abstract:BACKGROUND AND OBJECTIVE:The use of objective detection techniques applied to the auditory steady-state responses (ASSRs) for the assessment of auditory thresholds has been investigated over the years. The idea consists in setting up the audiometric profile without subjective inference from patients and evaluators. The...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2018.01.031

    authors: Silva GM,Antunes F,Henrique CS,Felix LB

    更新日期:2018-06-01 00:00:00

  • Using modified information delivery to enhance the traditional pharmacy OSCE program at TMU - a pilot study.

    abstract:BACKGROUND AND OBJECTIVE:Objective Structured Clinical Examination (OSCE) has been used in many areas of healthcare training over the years. However, it constantly needs to be upgraded and enhanced due to technological and teaching changes. We aim at implementing an integrative OSCE method which employs informatics via...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2017.11.006

    authors: Lin CW,Chang EH,Clinciu DL,Peng YT,Huang WC,Wu CC,Wu JC,Li YC

    更新日期:2018-05-01 00:00:00

  • A novel biomedical image indexing and retrieval system via deep preference learning.

    abstract:BACKGROUND AND OBJECTIVES:The traditional biomedical image retrieval methods as well as content-based image retrieval (CBIR) methods originally designed for non-biomedical images either only consider using pixel and low-level features to describe an image or use deep features to describe images but still leave a lot of...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2018.02.003

    authors: Pang S,Orgun MA,Yu Z

    更新日期:2018-05-01 00:00:00

  • Machine learning techniques for medical diagnosis of diabetes using iris images.

    abstract:BACKGROUND AND OBJECTIVE:Complementary and alternative medicine techniques have shown their potential for the treatment and diagnosis of chronical diseases like diabetes, arthritis etc. On the same time digital image processing techniques for disease diagnosis is reliable and fastest growing field in biomedical. Propos...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2018.01.004

    authors: Samant P,Agarwal R

    更新日期:2018-04-01 00:00:00

  • Assessing mechanical ventilation asynchrony through iterative airway pressure reconstruction.

    abstract:BACKGROUND AND OBJECTIVE:Respiratory mechanics estimation can be used to guide mechanical ventilation (MV) but is severely compromised when asynchronous breathing occurs. In addition, asynchrony during MV is often not monitored and little is known about the impact or magnitude of asynchronous breathing towards recovery...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2018.02.007

    authors: Chiew YS,Tan CP,Chase JG,Chiew YW,Desaive T,Ralib AM,Mat Nor MB

    更新日期:2018-04-01 00:00:00

  • Smart blood pressure holter.

    abstract:BACKGROUND AND OBJECTIVE:In this study, a wireless blood pressure holter that can be used with smart mobile devices was developed. The developed blood pressure holter consists of two parts, which are a smart mobile device and a cuff. The smart mobile device is used as a recording, control and display device through a d...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2017.12.025

    authors: İlhan İ

    更新日期:2018-03-01 00:00:00

  • Max-margin weight learning for medical knowledge network.

    abstract:BACKGROUND AND OBJECTIVE:The application of medical knowledge strongly affects the performance of intelligent diagnosis, and method of learning the weights of medical knowledge plays a substantial role in probabilistic graphical models (PGMs). The purpose of this study is to investigate a discriminative weight-learning...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2018.01.005

    authors: Jiang J,Xie J,Zhao C,Su J,Guan Y,Yu Q

    更新日期:2018-03-01 00:00:00

  • Reliability of a clinical 3D freehand ultrasound technique: Analyses on healthy and pathological muscles.

    abstract:BACKGROUND AND OBJECTIVE:3D freehand Ultrasonography is a medical imaging technique that can be used to measure muscle and tendon morphological and structural properties, including volume, lengths and echo-intensity. These properties are clinically relevant in neurological disorders such as spastic cerebral palsy to mo...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2017.12.023

    authors: Cenni F,Schless SH,Bar-On L,Aertbeliën E,Bruyninckx H,Hanssen B,Desloovere K

    更新日期:2018-03-01 00:00:00

  • Automated quantification of renal interstitial fibrosis for computer-aided diagnosis: A comprehensive tissue structure segmentation method.

    abstract::Interstitial fibrosis in renal biopsy samples is a scarring tissue structure that may be visually quantified by pathologists as an indicator to the presence and extent of chronic kidney disease. The standard method of quantification by visual evaluation presents reproducibility issues in the diagnoses. This study prop...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2017.12.004

    authors: Tey WK,Kuang YC,Ooi MP,Khoo JJ

    更新日期:2018-03-01 00:00:00

  • Breast cancer data analysis for survivability studies and prediction.

    abstract:BACKGROUND:Breast cancer is the most common cancer affecting females worldwide. Breast cancer survivability prediction is challenging and a complex research task. Existing approaches engage statistical methods or supervised machine learning to assess/predict the survival prospects of patients. OBJECTIVE:The main objec...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2017.12.011

    authors: Shukla N,Hagenbuchner M,Win KT,Yang J

    更新日期:2018-03-01 00:00:00

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