Data Analytics and Personalized Medicine

Data analytics and personalized medicine is a rapidly evolving field of medical science that combines patient data, medical records, and advanced analytics to provide personalized medical advice tailored to each individual patient. It helps doctors to make decisions about treatments that are customized specifically to the patient in order to improve outcomes. By using data and advanced analytics, doctors can analyze patient records to identify patterns and risk factors, enabling them to provide more effective interventions. This could also help to cut down on healthcare costs by predicting which treatments will be effective and appropriate for each patient. Additionally, data analytics and personalized medicine can inform public health initiatives and help to improve the quality of healthcare for all.

← International Journal of Personalized Medicine

Related Articles

40 article(s) found
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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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Human Anatomy: An Inlet of Medicine and Surgery 
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Hypertension Today: Role of Sports and Exercise Medicine
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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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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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The Journey from Personalized Medication to Customized Nutrition
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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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