听力与言语-语言病理学

行为科学

医学伦理学

你正在浏览BMC Medical Informatics and Decision Making期刊下所有文献
  • CardioNet: a manually curated database for artificial intelligence-based research on cardiovascular diseases.

    abstract:BACKGROUND:Cardiovascular diseases (CVDs) are difficult to diagnose early and have risk factors that are easy to overlook. Early prediction and personalization of treatment through the use of artificial intelligence (AI) may help clinicians and patients manage CVDs more effectively. However, to apply AI approaches to C...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章

    doi:10.1186/s12911-021-01392-2

    authors: Ahn I,Na W,Kwon O,Yang DH,Park GM,Gwon H,Kang HJ,Jeong YU,Yoo J,Kim Y,Jun TJ,Kim YH

    更新日期:2021-01-28 00:00:00

  • A multi-level hypoglycemia early alarm system based on sequence pattern mining.

    abstract:BACKGROUND:Early alarm of hypoglycemia, detection of asymptomatic hypoglycemia, and effective control of blood glucose fluctuation make a great contribution to diabetic treatment. In this study, we designed a multi-level hypoglycemia early alarm system to mine potential information in Continuous Glucose Monitoring (CGM...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章

    doi:10.1186/s12911-021-01389-x

    authors: Yu X,Ma N,Yang T,Zhang Y,Miao Q,Tao J,Li H,Li Y,Yang Y

    更新日期:2021-01-21 00:00:00

  • Perception of healthcare workers on mobile app-based clinical guideline for the detection and treatment of mental health problems in primary care: a qualitative study in Nepal.

    abstract:BACKGROUND:In recent years, a significant change has taken place in the health care delivery systems due to the availability of smartphones and mobile software applications. The use of mobile technology can help to reduce a number of barriers for mental health care such as providers' workload, lack of qualified personn...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章

    doi:10.1186/s12911-021-01386-0

    authors: Pokhrel P,Karmacharya R,Taylor Salisbury T,Carswell K,Kohrt BA,Jordans MJD,Lempp H,Thornicroft G,Luitel NP

    更新日期:2021-01-19 00:00:00

  • Socioeconomic and behavioural factors associated with access to and use of Personal Health Records.

    abstract:BACKGROUND:Access to and use of digital technology are more common among people of more advantaged socioeconomic status. These differences might be due to lack of interest, not having physical access or having lower intentions to use this technology. By integrating the digital divide approach and the User Acceptance of...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章

    doi:10.1186/s12911-020-01383-9

    authors: Paccoud I,Baumann M,Le Bihan E,Pétré B,Breinbauer M,Böhme P,Chauvel L,Leist AK

    更新日期:2021-01-13 00:00:00

  • Evaluating performance of health care facilities at meeting HIV-indicator reporting requirements in Kenya: an application of K-means clustering algorithm.

    abstract:BACKGROUND:The ability to report complete, accurate and timely data by HIV care providers and other entities is a key aspect in monitoring trends in HIV prevention, treatment and care, hence contributing to its eradication. In many low-middle-income-countries (LMICs), aggregate HIV data reporting is done through the Di...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章

    doi:10.1186/s12911-020-01367-9

    authors: Gesicho MB,Were MC,Babic A

    更新日期:2021-01-06 00:00:00

  • Predicting cardiovascular health trajectories in time-series electronic health records with LSTM models.

    abstract:BACKGROUND:Cardiovascular disease (CVD) is the leading cause of death in the United States (US). Better cardiovascular health (CVH) is associated with CVD prevention. Predicting future CVH levels may help providers better manage patients' CVH. We hypothesized that CVH measures can be predicted based on previous measure...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章

    doi:10.1186/s12911-020-01345-1

    authors: Guo A,Beheshti R,Khan YM,Langabeer JR 2nd,Foraker RE

    更新日期:2021-01-06 00:00:00

  • SURF: identifying and allocating resources during Out-of-Hospital Cardiac Arrest.

    abstract:BACKGROUND:When an Out-of-Hospital Cardiac Arrest (OHCA) incident is reported to emergency services, the 911 agent dispatches Emergency Medical Services to the location and activates responder network system (RNS), if the option is available. The RNS notifies all the registered users in the vicinity of the cardiac arre...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章

    doi:10.1186/s12911-020-01334-4

    authors: Rao G,Choudhury S,Lingras P,Savage D,Mago V

    更新日期:2020-12-30 00:00:00

  • Factors associated with the performance of routine health information system in Yaoundé-Cameroon: a cross-sectional survey.

    abstract:BACKGROUND:Routine Health Information Systems (RHIS) of low-income countries function below the globally expected standard, characterised by the production and use of poor-quality data, or the non-use of good quality data for informed decision making. This has negatively influenced the health service delivery and uptak...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章

    doi:10.1186/s12911-020-01357-x

    authors: Nguefack-Tsague G,Tamfon BB,Ngnie-Teta I,Ngoufack MN,Keugoung B,Bataliack SM,Bilounga Ndongo C

    更新日期:2020-12-17 00:00:00

  • Web-based interactive mapping from data dictionaries to ontologies, with an application to cancer registry.

    abstract:BACKGROUND:The Kentucky Cancer Registry (KCR) is a central cancer registry for the state of Kentucky that receives data about incident cancer cases from all healthcare facilities in the state within 6 months of diagnosis. Similar to all other U.S. and Canadian cancer registries, KCR uses a data dictionary provided by t...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章

    doi:10.1186/s12911-020-01288-7

    authors: Tao S,Zeng N,Hands I,Hurt-Mueller J,Durbin EB,Cui L,Zhang GQ

    更新日期:2020-12-15 00:00:00

  • Risk-adapted treatment reduced chemotherapy exposure for clinical stage I pediatric testicular cancer.

    abstract:BACKGROUND:Different from adult clinical stage I (CS1) testicular cancer, surveillance has been recommended for CS1 pediatric testicular cancer. However, among high-risk children, more than 50% suffer a relapse and progression during surveillance, and adjuvant chemotherapy needs to be administered. Risk-adapted treatme...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章

    doi:10.1186/s12911-020-01365-x

    authors: Ye YL,Chen ZF,Bian J,Liang HT,Qin ZK

    更新日期:2020-12-14 00:00:00

  • Use of online knowledge base in primary health care and correlation to health care quality: an observational study.

    abstract:BACKGROUND:Evidence-based information available at the point of care improves patient care outcomes. Online knowledge bases can increase the application of evidence-based medicine and influence patient outcome data which may be captured in quality registries. The aim of this study was to explore the effect of use of an...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章

    doi:10.1186/s12911-020-01313-9

    authors: Gerdesköld C,Toth-Pal E,Wårdh I,Nilsson GH,Nager A

    更新日期:2020-11-16 00:00:00

  • Data cleaning process for HIV-indicator data extracted from DHIS2 national reporting system: a case study of Kenya.

    abstract:BACKGROUND:The District Health Information Software-2 (DHIS2) is widely used by countries for national-level aggregate reporting of health-data. To best leverage DHIS2 data for decision-making, countries need to ensure that data within their systems are of the highest quality. Comprehensive, systematic, and transparent...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章

    doi:10.1186/s12911-020-01315-7

    authors: Gesicho MB,Were MC,Babic A

    更新日期:2020-11-13 00:00:00

  • Web-based online resources about adverse interactions or side effects associated with complementary and alternative medicine: a systematic review, summarization and quality assessment.

    abstract:BACKGROUND:Given an increased global prevalence of complementary and alternative medicine (CAM) use, healthcare providers commonly seek CAM-related health information online. Numerous online resources containing CAM-specific information exist, many of which are readily available/accessible, containing information share...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章

    doi:10.1186/s12911-020-01298-5

    authors: Ng JY,Munford V,Thakar H

    更新日期:2020-11-09 00:00:00

  • Violence detection explanation via semantic roles embeddings.

    abstract:BACKGROUND:Emergency room reports pose specific challenges to natural language processing techniques. In this setting, violence episodes on women, elderly and children are often under-reported. Categorizing textual descriptions as containing violence-related injuries (V) vs. non-violence-related injuries (NV) is thus a...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章

    doi:10.1186/s12911-020-01237-4

    authors: Mensa E,Colla D,Dalmasso M,Giustini M,Mamo C,Pitidis A,Radicioni DP

    更新日期:2020-10-15 00:00:00

  • The FeverApp registry - ecological momentary assessment (EMA) of fever management in families regarding conformity to up-to-date recommendations.

    abstract:BACKGROUND:Fever is one of the most common symptoms of pediatric consultations and its mismanagement is a health care burden. Guidelines on fever management are incoherent and data on fever management are still missing. This study protocol describes an app-based registry to evaluate the fever management of parents. OB...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章

    doi:10.1186/s12911-020-01269-w

    authors: Martin D,Wachtmeister J,Ludwigs K,Jenetzky E

    更新日期:2020-10-01 00:00:00

  • EDDAMAP: efficient data-dependent approach for monitoring asymptomatic patient.

    abstract:BACKGROUND:A pandemic affects healthcare delivery and consequently leads to socioeconomic complications. During a pandemic, a community where there lives an asymptomatic patient (AP) becomes a potential endemic zone. Assuming we want to monitor the travel and/or activity of an AP in a community where there is a pandemi...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章

    doi:10.1186/s12911-020-01258-z

    authors: Adu-Gyamfi D,Zhang F,Kwansah Ansah AK

    更新日期:2020-09-29 00:00:00

  • An app for supporting older people receiving home care - usage, aspects of health and health literacy: a quasi-experimental study.

    abstract:BACKGROUND:During the last decade, there has been an increase in studies describing use of mHealth, using smartphones with apps, in the healthcare system by a variety of populations. Despite this, few interventions including apps are targeting older people receiving home care. Developing mobile technology to its full p...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章

    doi:10.1186/s12911-020-01246-3

    authors: Göransson C,Wengström Y,Hälleberg-Nyman M,Langius-Eklöf A,Ziegert K,Blomberg K

    更新日期:2020-09-15 00:00:00

  • Shared decision making in surgery: a scoping review of patient and surgeon preferences.

    abstract:BACKGROUND:Many suggest that shared decision-making (SDM) is the most effective approach to clinical counseling. It is unclear if this applies to surgical decision-making-especially regarding urgent, highly-morbid operations. In this scoping review, we identify articles that address patient and surgeon preferences towa...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章,评审

    doi:10.1186/s12911-020-01211-0

    authors: Shinkunas LA,Klipowicz CJ,Carlisle EM

    更新日期:2020-08-12 00:00:00

  • Investigating the satisfaction level of physicians in regards to implementing medical Picture Archiving and Communication System (PACS).

    abstract:BACKGROUND:User satisfaction with PACS is considered as one of the important criteria for assessing success in using PACS. The objective of this study was to determine the level of user satisfaction with PACS and to compare its functional features with traditional film-based systems. METHODS:This study was conducted i...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章

    doi:10.1186/s12911-020-01203-0

    authors: Abbasi R,Sadeqi Jabali M,Khajouei R,Tadayon H

    更新日期:2020-08-05 00:00:00

  • The information imperative: to study the impact of informational discontinuity on clinical decision making among doctors.

    abstract:BACKGROUND:Informational discontinuity can have far reaching consequences like medical errors, increased re-hospitalization rates and adverse events among others. Thus the holy grail of seamless informational continuity in healthcare has been an enigma with some nations going the digital way. Digitization in healthcare...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章

    doi:10.1186/s12911-020-01190-2

    authors: Gowda NR,Kumar A,Arya SK,H V

    更新日期:2020-07-28 00:00:00

  • Caregivers' role in using a personal electronic health record: a qualitative study of cancer patients and caregivers in Germany.

    abstract:BACKGROUND:Particularly in the context of severe diseases like cancer, many patients wish to include caregivers in the planning of treatment and care. Many caregivers like to be involved but feel insufficiently enabled. This study aimed at providing insight into patients' and caregivers' perspectives on caregivers' rol...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章

    doi:10.1186/s12911-020-01172-4

    authors: Weis A,Pohlmann S,Poss-Doering R,Strauss B,Ullrich C,Hofmann H,Ose D,Winkler EC,Szecsenyi J,Wensing M

    更新日期:2020-07-13 00:00:00

  • Identifying diagnosis evidence of cardiogenic stroke from Chinese echocardiograph reports.

    abstract:BACKGROUND:Cardiogenic stroke has increasing morbidity in China and brought economic burden to patient families. In cardiogenic stroke diagnosis, echocardiograph examination is one of the most important examinations. Sonographers will investigate patients' heart via echocardiograph, and describe them in the echocardiog...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章

    doi:10.1186/s12911-020-1106-3

    authors: Qin L,Xu X,Ding L,Li Z,Li J

    更新日期:2020-07-09 00:00:00

  • A machine learning framework for accurately recognizing circular RNAs for clinical decision-supporting.

    abstract:BACKGROUND:Circular RNAs (circRNAs) are those RNA molecules that lack the poly (A) tails, which present the closed-loop structure. Recent studies emphasized that some circRNAs imply different functions from canonical transcripts, and further associated with complex diseases. Several computational methods have been deve...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章

    doi:10.1186/s12911-020-1117-0

    authors: Wang Y,Zhang X,Wang T,Xing J,Wu Z,Li W,Wang J

    更新日期:2020-07-09 00:00:00

  • Prediction of blood culture outcome using hybrid neural network model based on electronic health records.

    abstract:BACKGROUND:Blood cultures are often performed to detect patients who has a serious illness without infections and patients with bloodstream infections. Early positive blood culture prediction is important, as bloodstream infections may cause inflammation of the body, even organ failure or death. However, existing work ...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章

    doi:10.1186/s12911-020-1113-4

    authors: Cheng M,Zhao X,Ding X,Gao J,Xiong S,Ren Y

    更新日期:2020-07-09 00:00:00

  • A risk calculator to inform the need for a prostate biopsy: a rapid access clinic cohort.

    abstract:BACKGROUND:Prostate cancer (PCa) represents a significant healthcare problem. The critical clinical question is the need for a biopsy. Accurate risk stratification of patients before a biopsy can allow for individualised risk stratification thus improving clinical decision making. This study aims to build a risk calcul...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章

    doi:10.1186/s12911-020-01174-2

    authors: Jalali A,Foley RW,Maweni RM,Murphy K,Lundon DJ,Lynch T,Power R,O'Brien F,O'Malley KJ,Galvin DJ,Durkan GC,Murphy TB,Watson RW

    更新日期:2020-07-03 00:00:00

  • A predictive analytics model for differentiating between transient ischemic attacks (TIA) and its mimics.

    abstract:BACKGROUND:Transient ischemic attack (TIA) is a brief episode of neurological dysfunction resulting from cerebral ischemia not associated with permanent cerebral infarction. TIA is associated with high diagnostic errors because of the subjective nature of findings and the lack of clinical and imaging biomarkers. The go...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章

    doi:10.1186/s12911-020-01154-6

    authors: Stanciu A,Banciu M,Sadighi A,Marshall KA,Holland NR,Abedi V,Zand R

    更新日期:2020-06-18 00:00:00

  • The statistical importance of P-POSSUM scores for predicting mortality after emergency laparotomy in geriatric patients.

    abstract:BACKGROUND:Geriatric patients frequently undergo emergency general surgery and accrue a greater risk of postoperative complications and fatal outcomes than the general population. It is highly relevant to develop the most appropriate care measures and to guide patient-centered decision-making around end-of-life care. P...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章

    doi:10.1186/s12911-020-1100-9

    authors: Cao Y,Bass GA,Ahl R,Pourlotfi A,Geijer H,Montgomery S,Mohseni S

    更新日期:2020-05-07 00:00:00

  • Machine learning approaches to predict peak demand days of cardiovascular admissions considering environmental exposure.

    abstract:BACKGROUND:Accumulating evidence has linked environmental exposure, such as ambient air pollution and meteorological factors, to the development and severity of cardiovascular diseases (CVDs), resulting in increased healthcare demand. Effective prediction of demand for healthcare services, particularly those associated...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章

    doi:10.1186/s12911-020-1101-8

    authors: Qiu H,Luo L,Su Z,Zhou L,Wang L,Chen Y

    更新日期:2020-05-01 00:00:00

  • Correction to: The International Conference on Intelligent Biology and Medicine 2019: computational methods for drug interactions.

    abstract::After publication of this supplement article [1], it is requested the grant ID in the Funding section should be corrected from NSF grant IIS-7811367 to NSF grant IIS-1902617. ...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章,已发布勘误

    doi:10.1186/s12911-020-1096-1

    authors: Ning X,Zhang C,Wang K,Zhao Z,Mathé E

    更新日期:2020-04-28 00:00:00

  • Mining and visualizing high-order directional drug interaction effects using the FAERS database.

    abstract:BACKGROUND:Adverse drug events (ADEs) often occur as a result of drug-drug interactions (DDIs). The use of data mining for detecting effects of drug combinations on ADE has attracted growing attention and interest, however, most studies focused on analyzing pairwise DDIs. Recent efforts have been made to explore the di...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章

    doi:10.1186/s12911-020-1053-z

    authors: Yao X,Tsang T,Sun Q,Quinney S,Zhang P,Ning X,Li L,Shen L

    更新日期:2020-03-18 00:00:00

  • The design and development of technology platforms in a developing country healthcare context from an ecosystem perspective.

    abstract:BACKGROUND:Research on the development and functioning of technology platforms specifically for health applications in sub-Saharan Africa (SSA), is limited. The healthcare sector has also been resistant to platform adoption due to characteristics such as sensitive data and high cost of failure. A framework for the desi...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章

    doi:10.1186/s12911-020-1028-0

    authors: Herman H,Grobbelaar SS,Pistorius C

    更新日期:2020-03-12 00:00:00

  • Mobile phone usage in patients with type II diabetes and their intention to use it for self-management: a cross-sectional study in Iran.

    abstract:BACKGROUND:Mobile health has potential for promotion of self-management in patients with chronic diseases. This study was conducted to investigate smartphone usage in patients with type II diabetes and their intention to use it for self-management. METHODS:This cross-sectional study was conducted in 2018 with 176 pati...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章

    doi:10.1186/s12911-020-1038-y

    authors: Rangraz Jeddi F,Nabovati E,Hamidi R,Sharif R

    更新日期:2020-02-07 00:00:00

  • Customization scenarios for de-identification of clinical notes.

    abstract:BACKGROUND:Automated machine-learning systems are able to de-identify electronic medical records, including free-text clinical notes. Use of such systems would greatly boost the amount of data available to researchers, yet their deployment has been limited due to uncertainty about their performance when applied to new ...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章

    doi:10.1186/s12911-020-1026-2

    authors: Hartman T,Howell MD,Dean J,Hoory S,Slyper R,Laish I,Gilon O,Vainstein D,Corrado G,Chou K,Po MJ,Williams J,Ellis S,Bee G,Hassidim A,Amira R,Beryozkin G,Szpektor I,Matias Y

    更新日期:2020-01-30 00:00:00

  • Novel methodology to measure pre-procedure antimicrobial prophylaxis: integrating text searches with structured data from the Veterans Health Administration's electronic medical record.

    abstract:BACKGROUND:Antimicrobial prophylaxis is an evidence-proven strategy for reducing procedure-related infections; however, measuring this key quality metric typically requires manual review, due to the way antimicrobial prophylaxis is documented in the electronic medical record (EMR). Our objective was to electronically m...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章

    doi:10.1186/s12911-020-1031-5

    authors: Mull HJ,Stolzmann K,Kalver E,Shin MH,Schweizer ML,Asundi A,Mehta P,Stanislawski M,Branch-Elliman W

    更新日期:2020-01-30 00:00:00

  • A Bayesian decision support sequential model for severity of illness predictors and intensive care admissions in pneumonia.

    abstract:BACKGROUND:Community-acquired pneumonia (CAP) is one of the leading causes of morbidity and mortality in the USA. Our objective was to assess the predictive value on critical illness and disposition of a sequential Bayesian Model that integrates Lactate and procalcitonin (PCT) for pneumonia. METHODS:Sensitivity and sp...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章

    doi:10.1186/s12911-019-1015-5

    authors: Baez AA,Cochon L,Nicolas JM

    更新日期:2019-12-30 00:00:00

  • AliClu - Temporal sequence alignment for clustering longitudinal clinical data.

    abstract:BACKGROUND:Patient stratification is a critical task in clinical decision making since it can allow physicians to choose treatments in a personalized way. Given the increasing availability of electronic medical records (EMRs) with longitudinal data, one crucial problem is how to efficiently cluster the patients based o...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章

    doi:10.1186/s12911-019-1013-7

    authors: Rama K,Canhão H,Carvalho AM,Vinga S

    更新日期:2019-12-30 00:00:00

  • Recent advances in Swedish and Spanish medical entity recognition in clinical texts using deep neural approaches.

    abstract:BACKGROUND:Text mining and natural language processing of clinical text, such as notes from electronic health records, requires specific consideration of the specialized characteristics of these texts. Deep learning methods could potentially mitigate domain specific challenges such as limited access to in-domain tools ...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章

    doi:10.1186/s12911-019-0981-y

    authors: Weegar R,Pérez A,Casillas A,Oronoz M

    更新日期:2019-12-23 00:00:00

  • An adaptive term proximity based rocchio's model for clinical decision support retrieval.

    abstract:BACKGROUND:In order to better help doctors make decision in the clinical setting, research is necessary to connect electronic health record (EHR) with the biomedical literature. Pseudo Relevance Feedback (PRF) is a kind of classical query modification technique that has shown to be effective in many retrieval models an...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章

    doi:10.1186/s12911-019-0986-6

    authors: Pan M,Zhang Y,Zhu Q,Sun B,He T,Jiang X

    更新日期:2019-12-12 00:00:00

  • Implementation of machine learning algorithms to create diabetic patient re-admission profiles.

    abstract:BACKGROUND:Machine learning is a branch of Artificial Intelligence that is concerned with the design and development of algorithms, and it enables today's computers to have the property of learning. Machine learning is gradually growing and becoming a critical approach in many domains such as health, education, and bus...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章

    doi:10.1186/s12911-019-0990-x

    authors: Alloghani M,Aljaaf A,Hussain A,Baker T,Mustafina J,Al-Jumeily D,Khalaf M

    更新日期:2019-12-12 00:00:00

  • Using machine learning models to improve stroke risk level classification methods of China national stroke screening.

    abstract:BACKGROUND:With the character of high incidence, high prevalence and high mortality, stroke has brought a heavy burden to families and society in China. In 2009, the Ministry of Health of China launched the China national stroke screening and intervention program, which screens stroke and its risk factors and conducts ...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章

    doi:10.1186/s12911-019-0998-2

    authors: Li X,Bian D,Yu J,Li M,Zhao D

    更新日期:2019-12-10 00:00:00

223 条记录 1/6 页 « 123456 »