Category: healthtech

  • Overview of AWS Tech Portfolio 2023

    Overview of AWS Tech Portfolio 2023

    This article provides with an overview of 50+ Amazon Web Services (AWS) 2023. AWS is the leading vendor of cloud services and infrastructure, dominating the cloud computing market: Amazon net sales increased by 15% to $127.1 billion in Q3 2022 as compared to $110.8 billion in Q3 2021. AWS segment sales increased by 27% year-over-year to reach…

  • 90% ACC Diabetes-2 ML Binary Classifier

    90% ACC Diabetes-2 ML Binary Classifier

    Featured Photo by Nataliya Vaitkevich on Pexels. Acknowledgements Smith, J.W., Everhart, J.E., Dickson, W.C., Knowler, W.C., & Johannes, R.S. (1988). Using the ADAP learning algorithm to forecast the onset of diabetes mellitus. In Proceedings of the Symposium on Computer Applications and Medical Care (pp. 261–265). IEEE Computer Society Press. Diabetes EDA & Prediction|Acc %90.25 & ROC %96.38 The…

  • Applying a Risk-Aware Portfolio Rebalancing Strategy to ETF, Energy, Pharma, and Aerospace/Defense Stocks in 2023

    Applying a Risk-Aware Portfolio Rebalancing Strategy to ETF, Energy, Pharma, and Aerospace/Defense Stocks in 2023

    In this post, we will apply the Guillen’s asset rebalancing algorithm (cf. the Python code) to the following risk-aware portfolio: stocks = [‘SPY‘, ‘XOM‘, ‘ABBV‘, ‘AZN‘, ‘LMT‘] The initial portfolio value to be allocated is portfolio_value = 10**6 and the weight allocation per asset is weights = [0.15 , 0.30, 0.40, 0.075, 0.075] Conventionally, our…

  • A Comparative Analysis of The 3 Best Global Growth Stocks in Q1’23 – 2. AZN

    A Comparative Analysis of The 3 Best Global Growth Stocks in Q1’23 – 2. AZN

    StockNews TradingView The 1-week summary of AZN based on the most popular technical indicators, such as Moving Averages, Oscillators and Pivots: TradingView Analyst Rating based upon 42 analysts giving stock ratings to AZN in the past 3 months. The 37 analysts offering 1 year price forecast for AZN. AlgoTrading Let’s set the working directory YOURPATH…

  • ECG Early Warning System (EWS) in Terms of Time-Variant Deformations and Creep-Recovery Strain Tests

    ECG Early Warning System (EWS) in Terms of Time-Variant Deformations and Creep-Recovery Strain Tests

    Featured Photo by Hernan Pauccara on Pexels Referring to an earlier stress-strain case study, the objective of this risk management project is to develop the ECG Early Warning System (EWS) based upon time-dependent viscoelastic deformations and observed creep-recovery mechanisms in the cardiac muscle. The creep-recovery test involves loading a material at constant stress, holding that…

  • Biotech Genmab Hold Alert via Fibonacci Retracement Trading Simulations

    Biotech Genmab Hold Alert via Fibonacci Retracement Trading Simulations

    SeekingAlpha: A ‘Strong Buy’ Call on Genmab. While analysts were issuing bearish calls on Danish biotech Genmab (GMAB), Seeking Alpha contributor Biologics had different thoughts. In fact, Genmab has risen about 6% for 2022 even as the broader biotech sector has shed about 27% for the year. Let’s examine the Genmab stock in terms of…

  • Python Technical Analysis for BioTech – Get Buy Alerts on ABBV in 2023

    Python Technical Analysis for BioTech – Get Buy Alerts on ABBV in 2023

    Seeking Alpha urged investors to buy AbbVie (NYSE:ABBV), Vertex Pharma (NASDAQ:VRTX), Genmab (GMAB) and a range of other biotechs in 2022 long before those stocks outperformed − sometimes even as the consensus view on Wall Street suggested otherwise. Let’s examine the ABBV 2022 stock performance using mplfinance, plotly, bokeh, bqplot, and cufflinks libraries in Python. Let’s set the…

  • Stock Market ’22 Round Up & ’23 Outlook: Zacks Strategy vs Seeking Alpha Tactics

    Stock Market ’22 Round Up & ’23 Outlook: Zacks Strategy vs Seeking Alpha Tactics

    Featured Photo by Pixabay Contents: Zacks Market Research 2022 has been a strong year for jobs: Commodity markets: Energy: Global Investments: In the Zacks October 2022 Chief Investment Officer (CIO) survey, the CIOs made it fairly clear how they felt about investing outside the US. Answer: not great. Corporate High Yield and Investment Grade Bonds:In…

  • 50 Coronavirus COVID-19 Free APIs

    50 Coronavirus COVID-19 Free APIs

    Featured Photo by Edward Jenner on Pexels. As the Coronavirus pandemic, also known as COVID-19, continues to spread, staying up-to-date on the most recent information is essential. Keeping up with relevant information, such as new cases, deaths and local infection rates, can help you stay safe and healthy. Additionally, many of these APIs are free…

  • Interactive Global COVID-19 Data Visualization with Plotly

    Interactive Global COVID-19 Data Visualization with Plotly

    Featured Photo by Artem Podrez on Pexels. Coronavirus Country Profiles: The Value of COVID-19 Data Analytics: Using COVID-19 data to fight and contain the pandemic with data science/analytics and interactive visualization is critical to protect public health and save lives. Using global data through mobile & web applications will allow us to beat COVID-19 faster.…

  • AI-Based ECG Recognition – EOY ’22 Status

    AI-Based ECG Recognition – EOY ’22 Status

    Featured Photo by cottonbro studio on pexels. Electrocardiography (ECG) is the method most often used to diagnose cardiovascular diseases. The recent study demonstrates that an AI is capable of automatically diagnosing the abnormalities indicated by an ECG. In this post we will review and illustrate how AI applies to ECG analysis to outperform traditional ECG analysis.…

  • 99% Accurate Breast Cancer Classification using Neural Networks in TensorFlow 2.11.0

    99% Accurate Breast Cancer Classification using Neural Networks in TensorFlow 2.11.0

    Workflow The entire workflow is as follows: Prerequisites We need to install the following libraries: !pip install –user tensorflow BC Dataset In this study, we use the BC Wisconsin (Diagnostic) Dataset to predict whether the BC is benign or malignant. Model features are computed from a digitized image of a fine needle aspirate (FNA) of…

  • The Power of AIHealth: Comparison of 12 ML Breast Cancer Classification Models

    The Power of AIHealth: Comparison of 12 ML Breast Cancer Classification Models

    Contents: BC Dataset Conventionally, the Breast Cancer Wisconsin (Diagnostic) Data Set has been used to predict whether the breast cancer is benign or malignant. Features were computed from a digitized image of a fine needle aspirate (FNA) of a breast mass. They describe characteristics of the cell nuclei present in the image. The dataset can…

  • A Roadmap from Data Science to BI via ML

    A Roadmap from Data Science to BI via ML

    This post describes a Data Science (DS) roadmap, with relevant business applications. It has been written for aspiring data scientists, technical experts who work with data scientists, data-driven technology stakeholders, or anyone interested in learning about what DS is and what it’s used for. Why DS: The average base salary of a data scientist in…

  • A Comparison of Scikit Learn Algorithms for Breast Cancer Classification – 2. Cross Validation vs Performance

    A Comparison of Scikit Learn Algorithms for Breast Cancer Classification – 2. Cross Validation vs Performance

    Featured Photo by Tara Winstead @ Pexels. This post is a continuation of the previous breast cancer (BC) study focused on a comparison of available Scikit-Learn binary classifiers (Logistic Regression, GaussianNB, SVC, KNN, Random Forest, Extra Trees, and Gradient Boosting) in terms of cross validation and model performance/scalability scores. Contents: Let’s set the working directory YOURPATH…

  • A Comparison of Binary Classifiers for Enhanced ML/AI Breast Cancer Diagnostics – 1. Scikit-Plot

    A Comparison of Binary Classifiers for Enhanced ML/AI Breast Cancer Diagnostics – 1. Scikit-Plot

    The goal of this post is a comparison of available binary classifiers in Scikit-Learn on the breast cancer (BC) dataset. The BC dataset comes with the Scikit-Learn package itself. Contents: Data Analysis Let’s set the working directory YOURPATH import osos.chdir(‘YOURPATH’) os. getcwd() and load the BC dataset from sklearn import datasetsdata = datasets.load_breast_cancer() with the…

  • DL-Assisted ECG/EKG Anomaly Detection using LSTM Autoencoder

    DL-Assisted ECG/EKG Anomaly Detection using LSTM Autoencoder

    Featured Photo by Luan Rezende Automatic detection and alarm of abnormal electrocardiogram (ECG aka EKG) events play an important role in an ECG monitor system; however, popular classification models based on standard supervised ML fail to detect abnormal ECG accurately. In this project, we implement an ECG anomaly detection framework based on the recently proposed…

  • ML/AI Breast Cancer Diagnosis with 98% Confidence

    ML/AI Breast Cancer Diagnosis with 98% Confidence

    We demonstrate the importance of hyperparameter optimization (HPO) for enhancing ML prediction accuracy. Specifically, we will focus on the Random Forest Classifier (RFC) as an ensemble of decision trees. RFC is a supervised ML algorithm that has been applied successfully to the BC binary classification. 

  • Cloud-Native Tech Autumn 2022 Fair

    Cloud-Native Tech Autumn 2022 Fair

    Let’s dive deeper into the cloud-native tech trends and features to follow in Q4 2022 and beyond. Contents: Markets Services Serverless Cybersecurity DevSecOps ML/AI/IoT Use-Cases Events Training Explore More Infographic

  • Breast Cancer ML Classification – Logistic Regression vs Gradient Boosting with Hyperparameter Optimization (HPO)

    Breast Cancer ML Classification – Logistic Regression vs Gradient Boosting with Hyperparameter Optimization (HPO)

    Breast Cancer (BC) is the leading cause of death among women worldwide. The present study optimizes the use of supervised Machine Learning (ML) algorithms for detecting, analyzing, and classifying BC. We compare Logistic Regression (LR) against Gradient Boosting (GB) Classifier within the Hyperparameter Optimization (HPO) loop given by GridSearchCV. We use the publicly available BC dataset…