Citation Impact
2.317 - 2-year Impact Factor
2.745 - 5-year Impact Factor
1.675 - Source Normalized Impact per Paper (SNIP)
0.908 - SCImago Journal Rank (SJR)
Usage
980,778 Downloads
1305 Altmetric mentions
Page 4 of 45
The increased availability of patient reported outcome data makes it feasible to provide patients tailored risk information of cancer treatment side effects. However, it is unclear how such information influen...
Citation: BMC Medical Informatics and Decision Making 2020 20:277
Breast cancer is a worldwide health concern. For early stage breast cancer patients, choosing the surgical method after diagnosis is always a dilemma. Decision aids designed for use by patients are tools which...
Citation: BMC Medical Informatics and Decision Making 2020 20:275
The growing number of older people and, with it, the increase of neurological impairments such as dementia has led to the implementation of the use of computer programs for cognitive rehabilitation in people w...
Citation: BMC Medical Informatics and Decision Making 2020 20:274
Higher levels of functional health in older adults leads to higher quality of life and improves the ability to age-in-place. Tracking functional health objectively could help clinicians to make decisions for i...
Citation: BMC Medical Informatics and Decision Making 2020 20:270
Autism is a lifelong disability associated with several comorbidities that confound diagnosis and treatment. A better understanding of these comorbidities would facilitate diagnosis and improve treatments. Our...
Citation: BMC Medical Informatics and Decision Making 2020 20:268
Chronic pain has emerged as a disease in itself, affecting a growing number of people. Effective patient-provider communication is central to good pain management because pain can only be understood from the p...
Citation: BMC Medical Informatics and Decision Making 2020 20:267
An effective approach to containing epidemic outbreaks (e.g., COVID-19) is targeted immunization, which involves identifying “super spreaders” who play a key role in spreading disease over human contact networ...
Citation: BMC Medical Informatics and Decision Making 2020 20:266
Female patients with pelvic organ prolapse and clinicians need to take decisions regarding treatment that are often unpredictable in relation to how they impact the future everyday lives of the patients.
Citation: BMC Medical Informatics and Decision Making 2020 20:265
Syndrome differentiation aims at dividing patients into several types according to their clinical symptoms and signs, which is essential for traditional Chinese medicine (TCM). Several previous works were devo...
Citation: BMC Medical Informatics and Decision Making 2020 20:264
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 descr...
Citation: BMC Medical Informatics and Decision Making 2020 20:263
A decade ago, the advancements in the microbiome data sequencing techniques initiated the development of research of the microbiome and its relationship with the host organism. The development of sophisticated...
Citation: BMC Medical Informatics and Decision Making 2020 20:262
Medical terminologies are commonly used in medicine. For instance, to answer a pharmacovigilance question, pharmacovigilance specialists (PVS) search in a pharmacovigilance database for reports in relation to ...
Citation: BMC Medical Informatics and Decision Making 2020 20:261
At present, Internet of Things technology has been widely used in various fields, and smart health is also one of its important application areas.
Citation: BMC Medical Informatics and Decision Making 2020 20:260
The symbiotic interactions that occur between humans and organisms in our environment have a tremendous impact on our health. Recently, there has been a surge in interest in understanding the complex relations...
Citation: BMC Medical Informatics and Decision Making 2020 20:258
There is an increasing interest in clinical prediction tools that can achieve high prediction accuracy and provide explanations of the factors leading to increased risk of adverse outcomes. However, approaches...
Citation: BMC Medical Informatics and Decision Making 2020 20:257
Data security has been a critical topic of research and discussion since the onset of data sharing in e-health systems. Although digitalization of data has increased efficiency and speed, it has also made data...
Citation: BMC Medical Informatics and Decision Making 2020 20:256
Clinical endpoint prediction remains challenging for health providers. Although predictors such as age, gender, and disease staging are of considerable predictive value, the accuracy often ranges between 60 an...
Citation: BMC Medical Informatics and Decision Making 2020 20:255
As technology continues to advance, the internet is becoming increasingly popular. Self-diagnosis and health information seeking online is growing more common and it will be important to understand the influen...
Citation: BMC Medical Informatics and Decision Making 2020 20:253
With cardiovascular disease increasing, substantial research has focused on the development of prediction tools. We compare deep learning and machine learning models to a baseline logistic regression using onl...
Citation: BMC Medical Informatics and Decision Making 2020 20:252
Early and accurate identification of sepsis patients with high risk of in-hospital death can help physicians in intensive care units (ICUs) make optimal clinical decisions. This study aimed to develop machine ...
Citation: BMC Medical Informatics and Decision Making 2020 20:251
Computer Aided Diagnostics (CAD) can support medical practitioners to make critical decisions about their patients’ disease conditions. Practitioners require access to the chain of reasoning behind CAD to buil...
Citation: BMC Medical Informatics and Decision Making 2020 20:250
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. ...
Citation: BMC Medical Informatics and Decision Making 2020 20:249
While clinical entity recognition mostly aims at electronic health records (EHRs), there are also the demands of dealing with the other type of text data. Automatic medical diagnosis is an example of new appli...
Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 7):242
Differentiating between ulcerative colitis (UC), Crohn’s disease (CD) and intestinal tuberculosis (ITB) using endoscopy is challenging. We aimed to realize automatic differential diagnosis among these diseases...
Citation: BMC Medical Informatics and Decision Making 2020 20:248
The recent Coronavirus Disease 2019 (COVID-19) pandemic has placed severe stress on healthcare systems worldwide, which is amplified by the critical shortage of COVID-19 tests.
Citation: BMC Medical Informatics and Decision Making 2020 20:247
Modern healthcare devices can be connected to computer networks and many western healthcare institutions run those devices in networks. At the same time, cyber attacks are on the rise and there is evidence tha...
Citation: BMC Medical Informatics and Decision Making 2020 20:246
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. Assumi...
Citation: BMC Medical Informatics and Decision Making 2020 20:245
Healthcare managers, in comparison with other healthcare professionals, have an increased likelihood of experiencing technostress at work. Since knowledge about the causes and severity of technostress and abou...
Citation: BMC Medical Informatics and Decision Making 2020 20:244
Clinically, doctors obtain the left ventricular posterior wall thickness (LVPWT) mainly by observing ultrasonic echocardiographic video stream to capture a single frame of images with diagnostic significance, ...
Citation: BMC Medical Informatics and Decision Making 2020 20:243
Prostate cancer is a very common and highly fatal in men. Current non-invasive detection methods like serum biomarker are unsatisfactory. Biomarkers with high accuracy for diagnostic of prostate cancer are urg...
Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 9):223
Clinical Decision Support Systems (CDSSs) have recently attracted attention as a method for minimizing medical errors. Existing CDSSs are limited in that they do not reflect actual data. To overcome this limit...
Citation: BMC Medical Informatics and Decision Making 2020 20:241
Prediction of drug response based on multi-omics data is a crucial task in the research of personalized cancer therapy.
Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 8):224
Information technology (IT) plays an important role in nursing practice. Hence, nurses’ experiences and viewpoints about IT integration into healthcare help improve nurses’ adoption of IT. This study aimed to ...
Citation: BMC Medical Informatics and Decision Making 2020 20:240
The present study aims to investigate the role of histogram analysis of intravoxel incoherent motion (IVIM) in the differential diagnosis of benign and malignant breast lesions.
Citation: BMC Medical Informatics and Decision Making 2020 20:239
Acute Kidney Injury (AKI) is a shared complication among Intensive Care Unit (ICU), marked by high cost, high morbidity and high mortality. As the early prediction of AKI is critical for patients’ outcomes and...
Citation: BMC Medical Informatics and Decision Making 2020 20:238
Accurate forecasting of medical service demand is beneficial for the reasonable healthcare resource planning and allocation. The daily outpatient volume is characterized by randomness, periodicity and trend, a...
Citation: BMC Medical Informatics and Decision Making 2020 20:237
Today’s healthcare organizations want to implement secure and quality healthcare software as cyber-security is a significant risk factor for healthcare data. Considering security requirements during trustworth...
Citation: BMC Medical Informatics and Decision Making 2020 20:236
The diagnosis between benign and malignant gallbladder lesions is sometimes difficult. The objective of this study is to assess whether contrast-enhanced ultrasound (CEUS) and contrast-enhanced harmonic endosc...
Citation: BMC Medical Informatics and Decision Making 2020 20:235
Clinical decision aids are used in various medical fields to support patients and clinicians when making healthcare decisions. Few attempts have been made to implement such tools in psychiatry. We developed Tr...
Citation: BMC Medical Informatics and Decision Making 2020 20:234
This case study in Makassar City, Indonesia aims to investigate the clinicians’ perceptions, including both satisfaction and barriers in using telemedicine in a large, established program which supported 3974 ...
Citation: BMC Medical Informatics and Decision Making 2020 20:233
Nearly half of all mental health disorders develop prior to the age of 15. Early assessments, diagnosis, and treatment are critical to shortening single episodes of care, reducing possible comorbidity and long...
Citation: BMC Medical Informatics and Decision Making 2020 20:232
IgA nephropathy (IgAN) is a common type of chronic immune-mediated kidney disease with variable risk of progression to end-stage kidney disease. Risk stratification helps clinicians weight the potential risks ...
Citation: BMC Medical Informatics and Decision Making 2020 20:231
Patients with rare diseases (RDs) are often diagnosed too late or not at all. Clinical decision support systems (CDSSs) could support the diagnosis in RDs. The MIRACUM (Medical Informatics in Research and Medi...
Citation: BMC Medical Informatics and Decision Making 2020 20:230
Despite the prevalent use and advantages of information systems in hospitals, some have failed to meet their predefined objectives. Surgery information system (SIS) is a sub-system of a hospital information sy...
Citation: BMC Medical Informatics and Decision Making 2020 20:229
Parkinson’s Disease (PD) is a clinically diagnosed neurodegenerative disorder that affects both motor and non-motor neural circuits. Speech deterioration (hypokinetic dysarthria) is a common symptom, which oft...
Citation: BMC Medical Informatics and Decision Making 2020 20:228
Despite focus on preventing 30-day readmissions, early readmissions (within 7 days of discharge) may be more preventable than later readmissions (8–30 days). We assessed how well a previously validated 30-day ...
Citation: BMC Medical Informatics and Decision Making 2020 20:227
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 inclu...
Citation: BMC Medical Informatics and Decision Making 2020 20:226
Breast cancer is the most prevalent and among the most deadly cancers in females. Patients with breast cancer have highly variable survival lengths, indicating a need to identify prognostic biomarkers for pers...
Citation: BMC Medical Informatics and Decision Making 2020 20:225
Data harmonisation (DH) has emerged amongst health managers, information technology specialists and researchers as an important intervention for routine health information systems (RHISs). It is important to u...
Citation: BMC Medical Informatics and Decision Making 2020 20:222
Access to health care is a fundamental human right, and the provision of affordable, high-quality, and appropriate medicines for maternal and child health is a vital component of a well-functioning health syst...
Citation: BMC Medical Informatics and Decision Making 2020 20:221
Citation Impact
2.317 - 2-year Impact Factor
2.745 - 5-year Impact Factor
1.675 - Source Normalized Impact per Paper (SNIP)
0.908 - SCImago Journal Rank (SJR)
Usage
980,778 Downloads
1305 Altmetric mentions