Cаncer pаtients hаve an elevated risk оf venоus thrоmboembolism (VTE). Khorana and co-authors proposed a model to predict the risk. The following is a simplified version of the proposed model with the relevant variables and the rules for calculating the risk score.Categories of Site of cancer (Add 1 point for high-risk sites, and 0 for other sites)Platelet count >= 350 × 109/L (Add 1 point)Hemoglobin < 100 g/L (Add 1 point)Pre-Chemotherapy leukocyte count > 11 × 109/L (Add 1 point)Body mass index >= 35 kg/m2 (Add 1 point) The risk score and corresponding rates of VTE, respectively, arescore = 0, indicating low-risk category of VTEscore = 1-2: indicating intermediate-risk category of VTEscore >= 3, indicating high-risk category of VTE Reference: Khorana AA, etc. Development and validation of a predictive model for chemotherapy-associated thrombosis. Blood. 2008 May 15;111(10):4902-7. Your team was requested to implement a new clinical decision support tool based on the algorithm by the management of Hospital ABC. Write psuedocode OR draw a flowchart describing the algorithm. To keep it simple, there is no need to do input validation. You may use Visio, Lucidchart (local version), Powerpoint, and/or Word and attach your document using the text editor in the Essay response field below.