roshancyriacmathew / Medical-insurance-cost-prediction-using-linear-regression Star 7 Code Issues Pull requests This project explains on how to build a machine learning algorithm for calculating the medical insurance costs. Check out my video on this topic for the complete video explanation. mach...
While serving clients from a broad range of industries (e.g., insurance, automotive, consumer goods, and the public sector), he focused on digital transformations, operations management, strategy development, and private equity advisory. Dr. Matthias Kopyto is a guest researcher at the Chair of ...
NVIDIA Project DlGITS NVIDIA RTX AI Workstations Cloud and Data Center Overview Grace CPU DGX Platform EGX Platform IGX Platform HGX Platform NVIDIA MGX NVIDIA OVX Networking Overview DPUs and SuperNICs Ethernet InfiniBand GPUs...
Big data in health care: using analytics to identify and manage high-risk and high-cost patients. Predictive Anal. 2014;33(7):1123–31. Google Scholar Uddin M, Khaksar W, Torrensen J. Ambient sensors for elderly care and independent living: a survey. Sensors. 2018;18:2027–58. Google...
budget management, and prioritization amid evolving regulations. Gain insights from real-world case studies on successful AI deployment, with strategies to navigate regulatory risks while ensuring cost-effectiveness. Join us for a dynamic discussion to harness AI’s full potential in life sciences innova...
Insurance Medicare 13 (65%) 10 (75%) Medicaid 15 (75%) 4 (33%) Private 2 (10%) 1 (17%) 3.1.1. Outcome measures Differences in the outcome measures from baseline to the first (12-weeks after program initiation) and second (36-weeks post) follow-ups are shown in Table 2. Table...
The medical claim records represent individual enrollees’ insurance claims and include the date of visit, provider facility name, provider type and level, the region of residence, diagnosis code (International Classification of Diseases [ICD-10] code), cost, cost by payment source (out-of-pocket...
healthcare treatment costs are either paid by the insurance company directly to the medical care SP (Direct Cost-Takeover Payer) or indirectly, i.e., the patient goes in advance and requests a return from the insurance (Reimbursement-Oriented Payer). This differentiation might become important in...
Deep learning (DL)-based predictive models from electronic health records (EHRs) deliver impressive performance in many clinical tasks. Large training cohorts, however, are often required by these models to achieve high accuracy, hindering the adoption o
As healthcare reform has made impressive progress in the expansion of insurance coverage, the general physical examination industry has accumulated big data11. By using a large dataset of general health examinations of the Chinese population, the present study aimed to determine the correlations in ...