Big Data Medicine

Big data medicine is a new field of medical research that uses large amounts of complex data gathered from a variety of sources to create insights into health and medical conditions. It is revolutionizing the way medical professionals diagnose and treat patients by providing data-driven insights about diseases and treatments. Big data medicine can identify individual patient risk factors and suggest tailored treatments accordingly. It can even help predict the likelihood of a patient developing a disease in the future. By providing detailed information and analysis, big data medicine helps doctors make more informed decisions and improve patient outcomes.

← Journal of Big Data Research

Related Articles

42 article(s) found

Nature Inspired Bargain Optimization Algorithm for Effective Interpretation of Geoelectrical Data

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Testing Maternal-Fetal Genotype Incompatibility with Mother-Offspring Pair Data

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Predictors of Averse Events After Total Laryngectomy: An Analysis of the 2005-2011 NSQIP Datasets

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Mental Health Promotion Through Collection of Global Opinion Data

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Emerging Paradigms in Regenerative Medicine: Stem cell Therapies

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Supporting Quality Data Systems:  Lessons Learned from Early Implementation of Routine Viral Load Monitoring at a Large Clinic in Lilongwe, Malawi

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Hospital Episodes Due to Antidepressant Overdose: An Under-Utilised Source of Pharmacovigilance Data

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Development of a Chronic Obstructive Pulmonary Disease Severity Classification System Using A Japanese Health Insurance Claims Database

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Morphological Features of Wild Mallard Ducks on Postnatal Growth Based on Functional Analysis of Capture-Recapture Data

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Ovarian Cancer Identification Based on Feature Weighting for High-Throughput Mass Spectrometry Data

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Big Data Research: Database and Computing

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Journal of Sports and Exercise Medicine

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Looking for the Best Journey: Real Methodology of Research in General Medicine

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Basic Sciences. Basis of Clinical Medicine.

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Secular Trend in the Incidence of Japanese Employees with Thyroid Cancer Undergoing Thyroidectomy from 2005 to 2014: a Retrospective Descriptive Study Using an Employment-Based Insurance Claims Database

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First Geographical Record of Corymorpha bigelowi (Cnidaria: Hydrozoa, Corymorphidae) in the Northern Red Sea Coast of Egypt, Based on Morphological Description

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Human Anatomy: An Inlet of Medicine and Surgery 

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Hypertension Today: Role of Sports and Exercise Medicine

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Success for Big Infectious Disease Reimbursement Policy in China

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Measuring Availability and Prices of Locally Produced and Imported Medicines in Sudan

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pH-Sensitive Nanomedicine for Treating Gynaecological Cancers

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Practical Methods to Improve Client Compliance in General Medicine

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RESinvANFIS v1.0 - A Versatile MATLAB Tool for Inverting Geoelectrical Resistivity Sounding Data using Neuro Fuzzy Technique

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Artificial Neural Network Model for Rainfall Data Analysis During 2004-2017 in Tamil Nadu, India – Prevailing Pattern Evaluation on Climate Change

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Heart Failure in Family Medicine

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Rate, Maternal and Fetal Outcome of Cesarean Delivery Performed by IESO at Shenen Gibe General Hospital, Jimma South West Ethiopia: A Descriptive Retrospective Data

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Models and data Analysis of the Outbreak Risk of COVID-19

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Controlling the Covid-19 Pandemic without Killing the Economy: About Data Driven Decision Making with a Data Model Assessing Local Transmission Risk

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Can Data-Driven Hypotheses Replace the Scientific Method?

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A Missing Data on Covid-19 Forecasts

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Characterizing the Dynamics of Covid-19 Based on Data

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Legal, Marketing, and Advertising Issues with Big Data

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Tay-Sachs Disease: From Molecular Characterization to Ethical Quandaries and the Possibility of Genetic Medicine

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Biotechnological application of Cyanobacteria in, Agriculture, Medicine and Environment

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Users Perception and Factors Affecting Data Quality in Nyarugenge Public Health Facility, Rwanda

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Clustering objects for spatial data mining: a comparative study

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Capturing School Data on Bullying and Harassment is Just the Beginning of the Story, Using the Data Can Provide Us with an Ending

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A Data Mining Methodology for Detecting Conspiracy Theories from Scientific Articles: The Covid-19 Case

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Impact of Agricultural Land Use Practices on Water Quality in Lubigi Wetland

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Exploring the Nanomedicinal Features of Ayurvedic Bhasmas: Insights from Traditional Medicine

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Proteomic and Genomic Techniques in Medical Research: Applications in Cancer, Diagnostics, and Personalized Medicine

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A Decision Tree Ensemble Approach to Diabetes Prediction using the Framingham Heart Dataset, Exploring the Role of AI-Associated Interventions in Reducing Diabetes-Related Adverse Outcomes Between Men and Women

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