- Home
- Medical news & Guidelines
- Anesthesiology
- Cardiology and CTVS
- Critical Care
- Dentistry
- Dermatology
- Diabetes and Endocrinology
- ENT
- Gastroenterology
- Medicine
- Nephrology
- Neurology
- Obstretics-Gynaecology
- Oncology
- Ophthalmology
- Orthopaedics
- Pediatrics-Neonatology
- Psychiatry
- Pulmonology
- Radiology
- Surgery
- Urology
- Laboratory Medicine
- Diet
- Nursing
- Paramedical
- Physiotherapy
- Health news
- AYUSH
- State News
- Andaman and Nicobar Islands
- Andhra Pradesh
- Arunachal Pradesh
- Assam
- Bihar
- Chandigarh
- Chattisgarh
- Dadra and Nagar Haveli
- Daman and Diu
- Delhi
- Goa
- Gujarat
- Haryana
- Himachal Pradesh
- Jammu & Kashmir
- Jharkhand
- Karnataka
- Kerala
- Ladakh
- Lakshadweep
- Madhya Pradesh
- Maharashtra
- Manipur
- Meghalaya
- Mizoram
- Nagaland
- Odisha
- Puducherry
- Punjab
- Rajasthan
- Sikkim
- Tamil Nadu
- Telangana
- Tripura
- Uttar Pradesh
- Uttrakhand
- West Bengal
- Medical Education
- Industry
Predictive Model using AI may detect Hyperuricemia Risk Early among those on low dose Aspirin
Hyperuricemia is primarily attributed to increased serum uric acid (SUA) concentration, considered the primary gout factor. In the US, approximately 38 million adults, up to 16.9% of the population, are affected by hyperuricemia.According to an original research article published in Frontiers in Pharmacology, researchers concluded that a predictive model established by XGBoost algorithms...
Hyperuricemia is primarily attributed to increased serum uric acid (SUA) concentration, considered the primary gout factor. In the US, approximately 38 million adults, up to 16.9% of the population, are affected by hyperuricemia.
- Out of 805 participants enrolled, 190 participants had hyperuricemia.
- The participants were divided into a training set and a testing set (ratio of 8:2).
- The area under the curve for the training and testing set was 0.864 and 0.811, respectively.
- The SHapley Additive exPlanations (SHAP) method evaluated the modelling performance.
- The feature ranking interpretation presented that eGFR, BMI, and waist circumference were the three most essential features for hyperuricemia in those taking aspirin.
- The factors correlated with the development of hyperuricemia are triglyceride, hypertension, total cholesterol, HDL, LDL, age, race, and smoking.
BDS, MDS in Periodontics and Implantology
Dr. Aditi Yadav is a BDS, MDS in Periodontics and Implantology. She has a clinical experience of 5 years as a laser dental surgeon. She also has a Diploma in clinical research and pharmacovigilance and is a Certified data scientist. She is currently working as a content developer in e-health services. Dr. Yadav has a keen interest in Medical Journalism and is actively involved in Medical Research writing.
Dr Kamal Kant Kohli-MBBS, DTCD- a chest specialist with more than 30 years of practice and a flair for writing clinical articles, Dr Kamal Kant Kohli joined Medical Dialogues as a Chief Editor of Medical News. Besides writing articles, as an editor, he proofreads and verifies all the medical content published on Medical Dialogues including those coming from journals, studies,medical conferences,guidelines etc. Email: editorial@medicaldialogues.in. Contact no. 011-43720751