听力与言语-语言病理学

行为科学

医学伦理学

你正在浏览JOURNAL OF BIOMEDICAL INFORMATICS期刊下所有文献
  • Modified Needleman-Wunsch algorithm for clinical pathway clustering.

    abstract::Clinical pathways are used to guide clinicians to provide a standardised delivery of care. Because of their standardisation, the aim of clinical pathways is to reduce variation in both care process and patient outcomes. When learning clinical pathways from data through data mining, it is common practice to represent e...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2020.103668

    authors: Aspland E,Harper PR,Gartner D,Webb P,Barrett-Lee P

    更新日期:2021-01-27 00:00:00

  • Evaluating warfarin dosing models on multiple datasets with a novel software framework and evolutionary optimisation.

    abstract::Warfarin is an effective preventative treatment for arterial and venous thromboembolism, but requires individualised dosing due to its narrow therapeutic range and high individual variation. Many machine learning techniques have been demonstrated in this domain. This study evaluated the accuracy of the most promising ...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2020.103634

    authors: Truda G,Marais P

    更新日期:2021-01-01 00:00:00

  • Deep learning with wearable based heart rate variability for prediction of mental and general health.

    abstract::The ubiquity and commoditisation of wearable biosensors (fitness bands) has led to a deluge of personal healthcare data, but with limited analytics typically fed back to the user. The feasibility of feeding back more complex, seemingly unrelated measures to users was investigated, by assessing whether increased levels...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2020.103610

    authors: Coutts LV,Plans D,Brown AW,Collomosse J

    更新日期:2020-12-01 00:00:00

  • Multi-step ahead meningitis case forecasting based on decomposition and multi-objective optimization methods.

    abstract::Epidemiological time series forecasting plays an important role in health public systems, due to its ability to allow managers to develop strategic planning to avoid possible epidemics. In this paper, a hybrid learning framework is developed to forecast multi-step-ahead (one, two, and three-month-ahead) meningitis cas...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2020.103575

    authors: Ribeiro MHDM,Mariani VC,Coelho LDS

    更新日期:2020-11-01 00:00:00

  • Learning hidden patterns from patient multivariate time series data using convolutional neural networks: A case study of healthcare cost prediction.

    abstract:OBJECTIVE:To develop an effective and scalable individual-level patient cost prediction method by automatically learning hidden temporal patterns from multivariate time series data in patient insurance claims using a convolutional neural network (CNN) architecture. METHODS:We used three years of medical and pharmacy c...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2020.103565

    authors: Morid MA,Sheng ORL,Kawamoto K,Abdelrahman S

    更新日期:2020-11-01 00:00:00

  • The Counterfactual χ-GAN: Finding comparable cohorts in observational health data.

    abstract::Causal inference often relies on the counterfactual framework, which requires that treatment assignment is independent of the outcome, known as strong ignorability. Approaches to enforcing strong ignorability in causal analyses of observational data include weighting and matching methods. Effect estimates, such as the...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2020.103515

    authors: Averitt AJ,Vanitchanant N,Ranganath R,Perotte AJ

    更新日期:2020-09-01 00:00:00

  • Medical speciality classification system based on binary particle swarms and ensemble of one vs. rest support vector machines.

    abstract::Nowadays, artificial intelligence plays an integral role in medical and healthcare informatics. Developing an automatic question classification and answering system is essential for coping with constant advancements in science and technology. However, efficient online medical services are required to promote offline m...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2020.103525

    authors: Faris H,Habib M,Faris M,Alomari M,Alomari A

    更新日期:2020-09-01 00:00:00

  • Predictive modeling of bacterial infections and antibiotic therapy needs in critically ill adults.

    abstract::Unnecessary antibiotic regimens in the intensive care unit (ICU) are associated with adverse patient outcomes and antimicrobial resistance. Bacterial infections (BI) are both common and deadly in ICUs, and as a result, patients with a suspected BI are routinely started on broad-spectrum antibiotics prior to having con...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2020.103540

    authors: Eickelberg G,Sanchez-Pinto LN,Luo Y

    更新日期:2020-09-01 00:00:00

  • Knowledge-based automated planning system for StereoElectroEncephaloGraphy: A center-based scenario.

    abstract::Surgical planning for StereoElectroEncephaloGraphy (SEEG) is a complex and patient specific task, where the experience and medical workflow of each institution may influence the final planning choices. To account for this variability, we developed a data-based Computer Assisted Planning (CAP) solution able to exploit ...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2020.103460

    authors: Scorza D,Rizzi M,De Momi E,Cortés C,Bertelsen Á,Cardinale F

    更新日期:2020-08-01 00:00:00

  • Utilizing online stochastic optimization on scheduling of intensity-modulate radiotherapy therapy (IMRT).

    abstract::According to Ministry of Health and Welfare of Taiwan, cancer has been one of the major causes of death in Taiwan since 1982. The Intensive-Modulated Radiation Therapy (IMRT) is one of the most important radiotherapies of cancers, especially for Nasopharyngeal cancers, Digestive system cancers and Cervical cancers. Fo...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2020.103499

    authors: Chang WH,Lo SM,Chen TL,Chen JC,Wu HN

    更新日期:2020-08-01 00:00:00

  • A knowledge-based system to find over-the-counter medicines for self-medication.

    abstract::This study developed a medicine query system based on Semantic Web and open data especially for self-medication users to search over-the-counter (OTC) medicines. Most existing medicine query systems are based on keyword searches. If users are uncertain about the exact search words, these query systems do not offer eff...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2020.103504

    authors: Sung HY,Chi YL

    更新日期:2020-08-01 00:00:00

  • A survey on single and multi omics data mining methods in cancer data classification.

    abstract::Data analytics is routinely used to support biomedical research in all areas, with particular focus on the most relevant clinical conditions, such as cancer. Bioinformatics approaches, in particular, have been used to characterize the molecular aspects of diseases. In recent years, numerous studies have been performed...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章,评审

    doi:10.1016/j.jbi.2020.103466

    authors: Momeni Z,Hassanzadeh E,Saniee Abadeh M,Bellazzi R

    更新日期:2020-07-01 00:00:00

  • A novel method to estimate the indirect community benefit of HIV interventions using a microsimulation model of HIV disease.

    abstract:BACKGROUND:Microsimulation models of human immunodeficiency virus (HIV) disease that simulate individual patients one at a time and assess clinical and economic outcomes of HIV interventions often provide key details regarding direct individual clinical benefits ("individual benefit"), but they may lack detail on trans...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2020.103475

    authors: Kazemian P,Costantini S,Neilan AM,Resch SC,Walensky RP,Weinstein MC,Freedberg KA

    更新日期:2020-07-01 00:00:00

  • A medical treatment based scoring model to detect abusive institutions.

    abstract::Medical abuse refers to a type of abnormal medical practice which is not in compliance with qualitative or ethical standards, such as excessive prescription or overbilling of medical services. Detection of such medical abuses is crucial, especially for the patients and insurance providers, because they become subject ...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2020.103423

    authors: Lee J,Shin H,Cho S

    更新日期:2020-07-01 00:00:00

  • Predicting severe clinical events by learning about life-saving actions and outcomes using distant supervision.

    abstract::Medical error is a leading cause of patient death in the United States. Among the different types of medical errors, harm to patients caused by doctors missing early signs of deterioration is especially challenging to address due to the heterogeneity of patients' physiological patterns. In this study, we implemented r...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2020.103425

    authors: Lee DH,Yetisgen M,Vanderwende L,Horvitz E

    更新日期:2020-07-01 00:00:00

  • Integrated network analysis of symptom clusters across disease conditions.

    abstract::Identifying the symptom clusters (two or more related symptoms) with shared underlying molecular mechanisms has been a vital analysis task to promote the symptom science and precision health. Related studies have applied the clustering algorithms (e.g. k-means, latent class model) to detect the symptom clusters mostly...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2020.103482

    authors: Lu K,Yang K,Niyongabo E,Shu Z,Wang J,Chang K,Zou Q,Jiang J,Jia C,Liu B,Zhou X

    更新日期:2020-07-01 00:00:00

  • Matching patients to clinical trials using semantically enriched document representation.

    abstract::Recruiting eligible patients for clinical trials is crucial for reliably answering specific questions about medical interventions and evaluation. However, clinical trial recruitment is a bottleneck in clinical research and drug development. Our goal is to provide an approach towards automating this manual and time-con...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2020.103406

    authors: Hassanzadeh H,Karimi S,Nguyen A

    更新日期:2020-05-01 00:00:00

  • Systematic comparison of the protein-protein interaction databases from a user's perspective.

    abstract::In absence of periodic systematic comparisons, biologists/bioinformaticians may be forced to make a subjective selection among the many protein-protein interaction (PPI) databases and tools. We conducted a comprehensive compilation and comparison of such resources. We compiled 375 PPI resources, short-listed 125 impor...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2020.103380

    authors: Bajpai AK,Davuluri S,Tiwary K,Narayanan S,Oguru S,Basavaraju K,Dayalan D,Thirumurugan K,Acharya KK

    更新日期:2020-03-01 00:00:00

  • Task definition, annotated dataset, and supervised natural language processing models for symptom extraction from unstructured clinical notes.

    abstract:INTRODUCTION:Machine learning (ML) and natural language processing have great potential to improve information extraction (IE) within electronic medical records (EMRs) for a wide variety of clinical search and summarization tools. Despite ML advancements, clinical adoption of real time IE tools for patient care remains...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2019.103354

    authors: Steinkamp JM,Bala W,Sharma A,Kantrowitz JJ

    更新日期:2020-02-01 00:00:00

  • Patient empowerment for cancer patients through a novel ICT infrastructure.

    abstract::As a result of recent advances in cancer research and "precision medicine" approaches, i.e. the idea of treating each patient with the right drug at the right time, more and more cancer patients are being cured, or might have to cope with a life with cancer. For many people, cancer survival today means living with a c...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2019.103342

    authors: Kondylakis H,Bucur A,Crico C,Dong F,Graf N,Hoffman S,Koumakis L,Manenti A,Marias K,Mazzocco K,Pravettoni G,Renzi C,Schera F,Triberti S,Tsiknakis M,Kiefer S

    更新日期:2020-01-01 00:00:00

  • PharmActa: Personalized pharmaceutical care eHealth platform for patients and pharmacists.

    abstract::Community pharmacists are critically placed in the patient care chain being an extended frontline within primary healthcare networks across Europe. They are trained to ensure safe and effective medication use, a crucial and responsible role, extending beyond the common misconception limited to just providing timely ac...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2019.103336

    authors: Spanakis M,Sfakianakis S,Kallergis G,Spanakis EG,Sakkalis V

    更新日期:2019-12-01 00:00:00

  • Quantifying semantic similarity of clinical evidence in the biomedical literature to facilitate related evidence synthesis.

    abstract:OBJECTIVE:Published clinical trials and high quality peer reviewed medical publications are considered as the main sources of evidence used for synthesizing systematic reviews or practicing Evidence Based Medicine (EBM). Finding all relevant published evidence for a particular medical case is a time and labour intensiv...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2019.103321

    authors: Hassanzadeh H,Nguyen A,Verspoor K

    更新日期:2019-12-01 00:00:00

  • DiseaSE: A biomedical text analytics system for disease symptom extraction and characterization.

    abstract::Due to increasing volume and unstructured nature of the scientific literatures in biomedical domain, most of the information embedded within them remain untapped. This paper presents a biomedical text analytics system, DiseaSE (Disease Symptom Extraction), to identify and extract disease symptoms and their association...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2019.103324

    authors: Abulaish M,Parwez MA,Jahiruddin

    更新日期:2019-12-01 00:00:00

  • Phenotypic similarity for rare disease: Ciliopathy diagnoses and subtyping.

    abstract::Rare diseases are often hard and long to be diagnosed precisely, and most of them lack approved treatment. For some complex rare diseases, precision medicine approach is further required to stratify patients into homogeneous subgroups based on the clinical, biological or molecular features. In such situation, deep phe...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2019.103308

    authors: Chen X,Garcelon N,Neuraz A,Billot K,Lelarge M,Bonald T,Garcia H,Martin Y,Benoit V,Vincent M,Faour H,Douillet M,Lyonnet S,Saunier S,Burgun A

    更新日期:2019-12-01 00:00:00

  • Neural network-based approaches for biomedical relation classification: A review.

    abstract::The explosive growth of biomedical literature has created a rich source of knowledge, such as that on protein-protein interactions (PPIs) and drug-drug interactions (DDIs), locked in unstructured free text. Biomedical relation classification aims to automatically detect and classify biomedical relations, which has gre...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章,评审

    doi:10.1016/j.jbi.2019.103294

    authors: Zhang Y,Lin H,Yang Z,Wang J,Sun Y,Xu B,Zhao Z

    更新日期:2019-11-01 00:00:00

  • RedMed: Extending drug lexicons for social media applications.

    abstract::Social media has been identified as a promising potential source of information for pharmacovigilance. The adoption of social media data has been hindered by the massive and noisy nature of the data. Initial attempts to use social media data have relied on exact text matches to drugs of interest, and therefore suffer ...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2019.103307

    authors: Lavertu A,Altman RB

    更新日期:2019-11-01 00:00:00

  • ISeeU: Visually interpretable deep learning for mortality prediction inside the ICU.

    abstract::To improve the performance of Intensive Care Units (ICUs), the field of bio-statistics has developed scores which try to predict the likelihood of negative outcomes. These help evaluate the effectiveness of treatments and clinical practice, and also help to identify patients with unexpected outcomes. However, they hav...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2019.103269

    authors: Caicedo-Torres W,Gutierrez J

    更新日期:2019-10-01 00:00:00

  • Tracking a moving user in indoor environments using Bluetooth low energy beacons.

    abstract:BACKGROUND:Bluetooth low energy (BLE) beacons have been used to track the locations of individuals in indoor environments for clinical applications such as workflow analysis and infectious disease modelling. Most current approaches use the received signal strength indicator (RSSI) to track locations. When using the RSS...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2019.103288

    authors: Surian D,Kim V,Menon R,Dunn AG,Sintchenko V,Coiera E

    更新日期:2019-10-01 00:00:00

  • Game-based interventions for neuropsychological assessment, training and rehabilitation: Which game-elements to use? A systematic review.

    abstract::Game-based interventions (GBI) have been used to promote health-related outcomes, including cognitive functions. Criteria for game-elements (GE) selection are insufficiently characterized in terms of their adequacy to patients' clinical conditions or targeted cognitive outcomes. This study aimed to identify GE applied...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2019.103287

    authors: Ferreira-Brito F,Fialho M,Virgolino A,Neves I,Miranda AC,Sousa-Santos N,Caneiras C,Carriço L,Verdelho A,Santos O

    更新日期:2019-10-01 00:00:00

  • Genome-wide analysis of multi-view data of miRNA-seq to identify miRNA biomarkers for stomach cancer.

    abstract::Stomach cancer is one of the leading causes of cancer-related deaths worldwide. More than 80% diagnosis of this cancer occur at later stages leading to low 5-year survival rate. This emphasizes the need to have better prognostic techniques for stomach cancer. In this regard, the Next-Generation Sequencing of whole gen...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2019.103254

    authors: Pant N,Rakshit S,Paul S,Saha I

    更新日期:2019-09-01 00:00:00

  • Personal health information in research: Perceived risk, trustworthiness and opinions from patients attending a tertiary healthcare facility.

    abstract:BACKGROUND:Personal health information is a valuable resource to the advancement of research. In order to achieve a comprehensive reform of data infrastructure in Australia, both public engagement and building social trust is vital. In light of this, we conducted a study to explore the opinions, perceived risks and tru...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2019.103222

    authors: Krahe M,Milligan E,Reilly S

    更新日期:2019-07-01 00:00:00

  • The REDCap consortium: Building an international community of software platform partners.

    abstract::The Research Electronic Data Capture (REDCap) data management platform was developed in 2004 to address an institutional need at Vanderbilt University, then shared with a limited number of adopting sites beginning in 2006. Given bi-directional benefit in early sharing experiments, we created a broader consortium shari...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2019.103208

    authors: Harris PA,Taylor R,Minor BL,Elliott V,Fernandez M,O'Neal L,McLeod L,Delacqua G,Delacqua F,Kirby J,Duda SN,REDCap Consortium.

    更新日期:2019-07-01 00:00:00

  • The European cross-border health data exchange roadmap: Case study in the Italian setting.

    abstract::Health data exchange is a major challenge due to the sensitive information and the privacy issues entailed. Considering the European context, in which health data must be exchanged between different European Union (EU) Member States, each having a different national regulatory framework as well as different national h...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2019.103183

    authors: Nalin M,Baroni I,Faiella G,Romano M,Matrisciano F,Gelenbe E,Martinez DM,Dumortier J,Natsiavas P,Votis K,Koutkias V,Tzovaras D,Clemente F

    更新日期:2019-06-01 00:00:00

  • Comparison of orthogonal NLP methods for clinical phenotyping and assessment of bone scan utilization among prostate cancer patients.

    abstract:OBJECTIVE:Clinical care guidelines recommend that newly diagnosed prostate cancer patients at high risk for metastatic spread receive a bone scan prior to treatment and that low risk patients not receive it. The objective was to develop an automated pipeline to interrogate heterogeneous data to evaluate the use of bone...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2019.103184

    authors: Coquet J,Bozkurt S,Kan KM,Ferrari MK,Blayney DW,Brooks JD,Hernandez-Boussard T

    更新日期:2019-06-01 00:00:00

  • A hybrid of whale optimization and late acceptance hill climbing based imputation to enhance classification performance in electronic health records.

    abstract::Electronic health records (EHR) are a major source of information in biomedical informatics. Yet, missing values are prominent characteristics of EHR. Prediction on dataset with missing values results in inaccurate inferences. Nearest neighbour imputation based on lazy learning approach is a proven technique for missi...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2019.103190

    authors: Nagarajan G,Dhinesh Babu LD

    更新日期:2019-06-01 00:00:00

  • A survey on literature based discovery approaches in biomedical domain.

    abstract::Literature Based Discovery (LBD) refers to the problem of inferring new and interesting knowledge by logically connecting independent fragments of information units through explicit or implicit means. This area of research, which incorporates techniques from Natural Language Processing (NLP), Information Retrieval and...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章,评审

    doi:10.1016/j.jbi.2019.103141

    authors: Gopalakrishnan V,Jha K,Jin W,Zhang A

    更新日期:2019-05-01 00:00:00

  • A comprehensive review of feature based methods for drug target interaction prediction.

    abstract::Drug target interaction is a prominent research area in the field of drug discovery. It refers to the recognition of interactions between chemical compounds and the protein targets in the human body. Wet lab experiments to identify these interactions are expensive as well as time consuming. The computational methods o...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章,评审

    doi:10.1016/j.jbi.2019.103159

    authors: Sachdev K,Gupta MK

    更新日期:2019-05-01 00:00:00

  • Temporal phenotyping of medically complex children via PARAFAC2 tensor factorization.

    abstract:OBJECTIVE:Our aim is to extract clinically-meaningful phenotypes from longitudinal electronic health records (EHRs) of medically-complex children. This is a fragile set of patients consuming a disproportionate amount of pediatric care resources but who often end up with sub-optimal clinical outcome. The rise in availab...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2019.103125

    authors: Perros I,Papalexakis EE,Vuduc R,Searles E,Sun J

    更新日期:2019-05-01 00:00:00

  • Predicting the function of transplanted kidney in long-term care processes: Application of a hybrid model.

    abstract:BACKGROUND:A tool that can predict the estimated glomerular filtration rate (eGFR) in routine daily care can help clinicians to make better decisions for kidney transplant patients and to improve transplantation outcome. In this paper, we proposed a hybrid prediction model for predicting a future value for eGFR during ...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2019.103116

    authors: Rashidi Khazaee P,Bagherzadeh M J,Niazkhani Z,Pirnejad H

    更新日期:2019-03-01 00:00:00

  • Unsupervised low-dimensional vector representations for words, phrases and text that are transparent, scalable, and produce similarity metrics that are not redundant with neural embeddings.

    abstract::Neural embeddings are a popular set of methods for representing words, phrases or text as a low dimensional vector (typically 50-500 dimensions). However, it is difficult to interpret these dimensions in a meaningful manner, and creating neural embeddings requires extensive training and tuning of multiple parameters a...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2019.103096

    authors: Smalheiser NR,Cohen AM,Bonifield G

    更新日期:2019-02-01 00:00:00

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