ReviewBioMed research international2015
Big Data Analytics in Healthcare.
Review in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
70 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Systematic review of the use of big data to improve surgery in low- and middle-income countries.The British journal of surgery · 2019Pooled it
- The Use of International Classification of Diseases Codes to Identify Patients with Pancreatitis: A Systematic Review and Meta-analysis of Diagnostic Accuracy Studies.Clinical and translational gastroenterology · 2018Pooled it
- A Systematic Review of Techniques and Sources of Big Data in the Healthcare Sector.Journal of medical systems · 2017Pooled it
- Digital Twins in Personalized Medicine: Bridging Innovation and Clinical Reality.Journal of personalized medicine · 2025Review
- Survival analysis for sepsis patients: A machine learning approach to feature selection and predictive modeling.Scientific reports · 2025Article
- Judged by your neighbors: A novel framework for personalized assessment of brain structural aging effects in diverse populations.medRxiv : the preprint server for health sciences · 2025Article
- Predicting Risk for Patent Ductus Arteriosus in the Neonate: A Machine Learning Analysis.Medicina (Kaunas, Lithuania) · 2025Article
- Facilitators and Barriers to the Implementation of Digital Health Technologies in Hospital Settings in Lower- and Middle-Income Countries Since the Onset of the COVID-19 Pandemic: Scoping Review.Journal of medical Internet research · 2025Article
- Data Science in Medical and Healthcare: Current Landscape.Juntendo medical journal · 2025Review
- SGLT2i impact on HCC incidence in patients with fatty liver disease and diabetes: a nation-wide cohort study in South Korea.Scientific reports · 2024Article
- Article
- Challenges and opportunities of big data analytics in healthcare.Health care science · 2023Review
- The importance of graph databases and graph learning for clinical applications.Database : the journal of biological databases and curation · 2023Review
- A Survey on Differential Privacy for Medical Data Analysis.Annals of data science · 2023Review
- Improvement of Dialysis Dosing Using Big Data Analytics.Healthcare informatics research · 2023Article
- Extending artificial intelligence research in the clinical domain: a theoretical perspective.Annals of operations research · 2022Article
- Prediction of Postoperative Deterioration in Cardiac Surgery Patients Using Electronic Health Record and Physiologic Waveform Data.Anesthesiology · 2022Article
- Predicting Health Risks of Adult Asthmatics Susceptible to Indoor Air Quality Using Improved Logistic and Quantile Regression Models.Life (Basel, Switzerland) · 2022Article
- Radiomics quality score in renal masses: a systematic assessment on current literature.The British journal of radiology · 2022Review
- Opportunities and obstacles in linking large health care registries: the primary secondary cancer care registry - breast cancer.BMC medical research methodology · 2022Article
10 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rapidly expanding field of big data analytics has started to play a pivotal role in the evolution of healthcare practices and research. It has provided tools to accumulate, manage, analyze, and assimilate large volumes of disparate, structured, and unstructured data produced by current healthcare systems. Big data analytics has been recently applied towards aiding the process of care delivery and disease exploration. However, the adoption rate and research development in this space is still hindered by some fundamental problems inherent within the big data paradigm. In this paper, we discuss some of these major challenges with a focus on three upcoming and promising areas of medical research: image, signal, and genomics based analytics. Recent research which targets utilization of large volumes of medical data while combining multimodal data from disparate sources is discussed. Potential areas of research within this field which have the ability to provide meaningful impact on healthcare delivery are also examined.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.