{"id":146111,"date":"2025-07-25T12:20:14","date_gmt":"2025-07-25T06:50:14","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=146111"},"modified":"2025-07-25T12:20:14","modified_gmt":"2025-07-25T06:50:14","slug":"heart-disease-predictor-using-ann","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/heart-disease-predictor-using-ann\/","title":{"rendered":"Deep Learning Project &#8211; Heart Disease Predictor using ANN"},"content":{"rendered":"<h3>Program 1<\/h3>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\">Heart Disease Predictor using ANN (Keras)\r\n\r\nWe want to predict whether a person has heart disease or not based on multiple health parameters.\r\nThis is a binary classification problem (0 = No disease, 1 = Disease).\r\n\r\n| Feature      | Meaning                     | Example |\r\n| ------------ | --------------------------- | ------- |\r\n| Age          | Person's age                | 45      |\r\n| RestingBP    | Resting Blood Pressure      | 130     |\r\n| Cholesterol  | Cholesterol level           | 250     |\r\n| MaxHR        | Maximum heart rate achieved | 140     |\r\n| Oldpeak      | ST depression (ECG data)    | 2.5     |\r\n| HeartDisease | Target (0=no, 1=yes)        | 1       |\r\n\"\"\"\r\n\r\nimport numpy as np\r\nimport pandas as pd\r\nfrom sklearn.model_selection import train_test_split\r\nfrom sklearn.preprocessing import MinMaxScaler\r\nfrom tensorflow.keras.models import Sequential\r\nfrom tensorflow.keras.layers import Dense\r\nfrom sklearn.metrics import classification_report, confusion_matrix\r\nimport matplotlib.pyplot as plt\r\n\r\n# Load dataset\r\ndata = {\r\n    'Age': [29, 45, 58, 34, 60, 50, 40, 66, 55, 38],\r\n    'RestingBP': [120, 130, 140, 110, 150, 145, 135, 160, 155, 125],\r\n    'Cholesterol': [200, 250, 240, 180, 290, 275, 230, 300, 310, 220],\r\n    'MaxHR': [150, 140, 135, 160, 130, 125, 145, 120, 115, 155],\r\n    'Oldpeak': [1.0, 2.5, 3.0, 0.5, 4.0, 3.5, 2.0, 5.0, 4.5, 1.5],\r\n    'HeartDisease': [0, 1, 1, 0, 1, 1, 0, 1, 1, 0]\r\n}\r\ndf = pd.DataFrame(data)\r\ndf.shape\r\n\r\n# Split features and target\r\nX = df.drop('HeartDisease', axis=1) # Independed\r\n\r\ny = df['HeartDisease'] # Depended\r\ny.head()\r\n\r\n# Normalize data\r\nscaler = MinMaxScaler()\r\nX_scaled = scaler.fit_transform(X)\r\nX_scaled\r\n\r\n# Split data\r\nX_train, X_test, y_train, y_test = train_test_split(X_scaled, y, test_size=0.2, random_state=42)\r\n\r\n# Build ANN model\r\nmodel = Sequential()\r\nmodel.add(Dense(10, activation='relu', input_shape=(X.shape[1],))) # Input+hidden\r\nmodel.add(Dense(5, activation='relu'))\r\nmodel.add(Dense(1, activation='sigmoid'))  # output layer for binary classification\r\n\r\n# Compile model\r\nmodel.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])\r\n\r\n# Train model\r\nhistory = model.fit(X_train, y_train, validation_split=0.2, epochs=200, verbose=0)\r\n\r\n# Evaluate model\r\nloss, accuracy = model.evaluate(X_test, y_test)\r\nprint(\"Test Accuracy: {:.2f}%\".format(accuracy * 100))\r\n\r\n# Make predictions\r\ny_pred = model.predict(X_test)\r\ny_pred_classes = (y_pred &gt; 0.5).astype(int)\r\ny_pred\r\ny_pred_classes\r\n\r\n# Confusion Matrix &amp; Report\r\nprint(\"\\nConfusion Matrix:\")\r\nprint(confusion_matrix(y_test, y_pred_classes))\r\nprint(\"\\nClassification Report:\")\r\nprint(classification_report(y_test, y_pred_classes))\r\n\r\nnew_data = np.array([[50, 140, 250, 130, 2.5]])\r\nnew_data_scaled = scaler.transform(new_data)\r\nprediction = model.predict(new_data_scaled)\r\nresult = (prediction &gt; 0.5).astype(int)\r\nprint(\"Heart Disease Present?\" , result)\r\n<\/pre>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Program 1 Heart Disease Predictor using ANN (Keras) We want to predict whether a person has heart disease or not based on multiple health parameters. This is a binary classification problem (0 = No&#46;&#46;&#46;<\/p>\n","protected":false},"author":581,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[36],"tags":[34981,34984,34985,34982,34983,8431,33127,33128,20697],"class_list":["post-146111","post","type-post","status-publish","format-standard","hentry","category-machine-learning","tag-heart-disease-predictor","tag-heart-disease-predictor-deep-learning","tag-heart-disease-predictor-project","tag-heart-disease-predictor-using-ann","tag-heart-disease-predictor-using-machine-learning","tag-machine-learning","tag-machine-learning-practical","tag-machine-learning-program","tag-machine-learning-project"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Deep Learning Project - Heart Disease Predictor using ANN - DataFlair<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/data-flair.training\/blogs\/heart-disease-predictor-using-ann\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Deep Learning Project - Heart Disease Predictor using ANN - DataFlair\" \/>\n<meta property=\"og:description\" content=\"Program 1 Heart Disease Predictor using ANN (Keras) We want to predict whether a person has heart disease or not based on multiple health parameters. 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This is a binary classification problem (0 = No&#46;&#46;&#46;","og_url":"https:\/\/data-flair.training\/blogs\/heart-disease-predictor-using-ann\/","og_site_name":"DataFlair","article_publisher":"https:\/\/www.facebook.com\/DataFlairWS\/","article_published_time":"2025-07-25T06:50:14+00:00","author":"DataFlair Team","twitter_card":"summary_large_image","twitter_creator":"@DataFlairWS","twitter_site":"@DataFlairWS","twitter_misc":{"Written by":"DataFlair Team","Est. reading time":"1 minute"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/data-flair.training\/blogs\/heart-disease-predictor-using-ann\/#article","isPartOf":{"@id":"https:\/\/data-flair.training\/blogs\/heart-disease-predictor-using-ann\/"},"author":{"name":"DataFlair Team","@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/person\/c187795dc82ab948373cca526df7c445"},"headline":"Deep Learning Project &#8211; Heart Disease Predictor using ANN","datePublished":"2025-07-25T06:50:14+00:00","mainEntityOfPage":{"@id":"https:\/\/data-flair.training\/blogs\/heart-disease-predictor-using-ann\/"},"wordCount":12,"commentCount":0,"publisher":{"@id":"https:\/\/data-flair.training\/blogs\/#organization"},"keywords":["heart disease predictor","heart disease predictor deep learning","heart disease predictor project","heart disease predictor using ann","heart disease predictor using machine learning","machine learning","machine learning practical","machine learning program","machine learning project"],"articleSection":["Machine Learning Tutorials"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/data-flair.training\/blogs\/heart-disease-predictor-using-ann\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/data-flair.training\/blogs\/heart-disease-predictor-using-ann\/","url":"https:\/\/data-flair.training\/blogs\/heart-disease-predictor-using-ann\/","name":"Deep Learning Project - Heart Disease Predictor using ANN - DataFlair","isPartOf":{"@id":"https:\/\/data-flair.training\/blogs\/#website"},"datePublished":"2025-07-25T06:50:14+00:00","breadcrumb":{"@id":"https:\/\/data-flair.training\/blogs\/heart-disease-predictor-using-ann\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/data-flair.training\/blogs\/heart-disease-predictor-using-ann\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/data-flair.training\/blogs\/heart-disease-predictor-using-ann\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Blog Home","item":"https:\/\/data-flair.training\/blogs\/"},{"@type":"ListItem","position":2,"name":"Machine Learning Tutorials","item":"https:\/\/data-flair.training\/blogs\/category\/machine-learning\/"},{"@type":"ListItem","position":3,"name":"Deep Learning Project &#8211; Heart Disease Predictor using ANN"}]},{"@type":"WebSite","@id":"https:\/\/data-flair.training\/blogs\/#website","url":"https:\/\/data-flair.training\/blogs\/","name":"DataFlair","description":"Learn Today. 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