Python Classes: Medical Insurance Project using Object Oriented Programming Concepts

Overview

Medical-Insurance-Project-OOP

Python Classes: Medical Insurance Project using Object Oriented Programming Concepts

Classes are an incredibly useful programming tool because they allow you to create a blueprint that can be used to build many objects off of. In this case, you can organize any patient’s information and apply all methods from Patient to update and arrange their data.

There are endless possibilities for extending the capabilities of this class.

You have been asked to develop a system that makes it easier to organize patient data. You will create a class that does the following:

  • Takes in patient parameters regarding their personal information
  • Contains methods that allow users to update their information
  • Gives patients insight into their potential medical fees.

Parameters:

  • name: patients first name
  • age: patient age
  • sex: patient’s biological identification, 0 for male and 1 for female
  • bmi: patient BMI
  • num_of_children: number of children patient has
  • smoker: patient smoking status, 0 for a non-smoker and 1 for a smoker
  1. Our first method will be estimated_insurance_cost(), which takes our instance’s parameters (representing our patient’s information) and returns their expected yearly medical fees.

estimated_cost= 250 ∗ age − 128 ∗ sex + 370 ∗ bmi + 425 ∗ num_of_children + 24000 ∗ smoker − 12500

  1. Make another update method that modifies the num_of_children parameter.
  • If the patient has 1 offspring, we should see the following output:

{Patient Name} has {Patient Number of Children} child.

  • Otherwise, we should see this output:

{Patient Name} has {Patient Number of Children} children.

  1. Create one last method that uses a dictionary to store a patient’s information in one convenient variable. We can use our parameters as the keys and their specific data as the values. This dictionary should hold all six class variables in Profile and return the patient_info dictionary at the end.
Owner
Hugo B.
Financial Analyst. Focused on Trading, Investing, Markets, Economics, Data Science, Quantitative Finance. Self taught Programmer in Python, VBA and SQL
Hugo B.
[ICME 2021 Oral] CORE-Text: Improving Scene Text Detection with Contrastive Relational Reasoning

CORE-Text: Improving Scene Text Detection with Contrastive Relational Reasoning This repository is the official PyTorch implementation of CORE-Text, a

Jingyang Lin 18 Aug 11, 2022
Implementation of FitVid video prediction model in JAX/Flax.

FitVid Video Prediction Model Implementation of FitVid video prediction model in JAX/Flax. If you find this code useful, please cite it in your paper:

Google Research 62 Nov 25, 2022
Two types of Recommender System : Content-based Recommender System and Colaborating filtering based recommender system

Recommender-Systems Two types of Recommender System : Content-based Recommender System and Colaborating filtering based recommender system So the data

Yash Kumar 0 Jan 20, 2022
NeurIPS workshop paper 'Counter-Strike Deathmatch with Large-Scale Behavioural Cloning'

Counter-Strike Deathmatch with Large-Scale Behavioural Cloning Tim Pearce, Jun Zhu Offline RL workshop, NeurIPS 2021 Paper: https://arxiv.org/abs/2104

Tim Pearce 169 Dec 26, 2022
Laplace Redux -- Effortless Bayesian Deep Learning

Laplace Redux - Effortless Bayesian Deep Learning This repository contains the code to run the experiments for the paper Laplace Redux - Effortless Ba

Runa Eschenhagen 28 Dec 07, 2022
(NeurIPS 2021) Pytorch implementation of paper "Re-ranking for image retrieval and transductive few-shot classification"

SSR (NeurIPS 2021) Pytorch implementation of paper "Re-ranking for image retrieval and transductivefew-shot classification" [Paper] [Project webpage]

xshen 29 Dec 06, 2022
Certified Patch Robustness via Smoothed Vision Transformers

Certified Patch Robustness via Smoothed Vision Transformers This repository contains the code for replicating the results of our paper: Certified Patc

Madry Lab 35 Dec 14, 2022
Tensorflow Implementation of ECCV'18 paper: Multimodal Human Motion Synthesis

MT-VAE for Multimodal Human Motion Synthesis This is the code for ECCV 2018 paper MT-VAE: Learning Motion Transformations to Generate Multimodal Human

Xinchen Yan 36 Oct 02, 2022
Python suite to construct benchmark machine learning datasets from the MIMIC-III clinical database.

MIMIC-III Benchmarks Python suite to construct benchmark machine learning datasets from the MIMIC-III clinical database. Currently, the benchmark data

Chengxi Zang 6 Jan 02, 2023
Graph Convolutional Neural Networks with Data-driven Graph Filter (GCNN-DDGF)

Graph Convolutional Gated Recurrent Neural Network (GCGRNN) Improved from Graph Convolutional Neural Networks with Data-driven Graph Filter (GCNN-DDGF

Lei Lin 21 Dec 18, 2022
Tackling Obstacle Tower Challenge using PPO & A2C combined with ICM.

Obstacle Tower Challenge using Deep Reinforcement Learning Unity Obstacle Tower is a challenging realistic 3D, third person perspective and procedural

Zhuoyu Feng 5 Feb 10, 2022
SPCL: A New Framework for Domain Adaptive Semantic Segmentation via Semantic Prototype-based Contrastive Learning

SPCL SPCL: A New Framework for Domain Adaptive Semantic Segmentation via Semantic Prototype-based Contrastive Learning Update on 2021/11/25: ArXiv Ver

Binhui Xie (谢斌辉) 11 Oct 29, 2022
Subpopulation detection in high-dimensional single-cell data

PhenoGraph for Python3 PhenoGraph is a clustering method designed for high-dimensional single-cell data. It works by creating a graph ("network") repr

Dana Pe'er Lab 42 Sep 05, 2022
Deep Illuminator is a data augmentation tool designed for image relighting. It can be used to easily and efficiently generate a wide range of illumination variants of a single image.

Deep Illuminator Deep Illuminator is a data augmentation tool designed for image relighting. It can be used to easily and efficiently generate a wide

George Chogovadze 52 Nov 29, 2022
A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorphic hardware.

Rockpool Rockpool is a Python package for developing signal processing applications with spiking neural networks. Rockpool allows you to build network

SynSense 21 Dec 14, 2022
Whisper is a file-based time-series database format for Graphite.

Whisper Overview Whisper is one of three components within the Graphite project: Graphite-Web, a Django-based web application that renders graphs and

Graphite Project 1.2k Dec 25, 2022
EASY - Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients.

EASY - Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients. This repository is the official im

Yassir BENDOU 57 Dec 26, 2022
Cervix ROI Segmentation Using U-NET

Cervix ROI Segmentation Using U-NET Overview This code illustrate how to segment the ROI in cervical images using U-NET. The ROI here meant to include

Scotty Kwok 35 Sep 14, 2022
[NeurIPS 2021] Garment4D: Garment Reconstruction from Point Cloud Sequences

Garment4D [PDF] | [OpenReview] | [Project Page] Overview This is the codebase for our NeurIPS 2021 paper Garment4D: Garment Reconstruction from Point

Fangzhou Hong 112 Dec 23, 2022