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Parkinson’s disease (PD) is a progressive disorder with a presymptomatic interval; that is, there is a period during which the pathologic process has begun, but motor signs required for the clinical diagnosis are absent. There is considerable interest in discovering markers to diagnose this preclinical stage. Current predictive marker development stems mainly from two principles; first, that pathologic processes occur in lower brainstem regions before substantia nigra involvement and second, that redundancy and compensatory responses cause symptoms to emerge only after advanced degeneration. Decreased olfaction has recently been demonstrated to predict PD in prospective pathologic studies, although the lead time may be relatively short and the positive predictive value and specificity are low. Screening patients for depression and personality changes, autonomic symptoms, subtle motor dysfunction on quantitative testing, sleepiness and insomnia are other potential simple markers. More invasive measures such as detailed autonomic testing, cardiac MIBG-scintigraphy, transcranial ultrasound, and dopaminergic functional imaging may be especially useful in those at high risk or for further defining risk in those identified through primary screening. Despite intriguing leads, direct testing of preclinical markers has been limited, mainly because there is no reliable way to identify preclinical disease. Idiopathic RBD is characterized by loss of normal atonia with REM sleep. Approximately 50% of affected individuals will develop PD or dementia within 10 years. Dataset Link: https://archive.ics.uci.edu/ml/datasets/parkinsons #machinelearning #artificialintelligence #ai #datascience #python #programming #technology #deeplearning #coding #bigdata #computerscience #tech #data #pythonprogramming #programmer #developer #dataanalytics #software #datascientist #javascript #iot #java #coder #ml #innovation #robotics #linux #analytics [More]
This video is about building a Heart Disease Prediction system using Machine Learning with Python. This is one of the important Machine Learning Projects. Machine Learning Projects Playlist: https://youtube.com/playlist?list=PLfFghEzKVmjvuSA67LszN1dZ-Dd_pkus6 Hello everyone! I am setting up a donation campaign for my YouTube Channel. If you like my videos and wish to support me financially, you can donate through the following means: From India πŸ‘‰ UPI ID : siddhardhselvam2317@oksbi Outside of India? πŸ‘‰ Paypal id: siddhardhselvam2317@gmail.com (No donation is small. Every penny counts) Thanks in advance! Hi guys! I am Siddhardhan. I work in the field of Data Science and Machine Learning. It all started with my curiosity to learn about Artificial Intelligence and the ability of AI to solve several Real Life Problems. I worked on several Machine Learning & Deep Learning projects involving Computer Vision. I am on this journey to empower as many students & working professionals as possible with the knowledge of Machine Learning and Artificial Intelligence. Let’s build a Community of Machine Learning experts! Kindly Subscribe hereπŸ‘‰ https://tinyurl.com/md0gjbis I am making a “Hands-on Machine Learning Course with Python” in YouTube. I’ll be posting 3 videos per week: Monday Evening; Wednesday Evening; Friday Evening. Dataset file: https://www.kaggle.com/ronitf/heart-disease-uci Colab File Link: https://colab.research.google.com/drive/1FYGPRSEGvd0urNlZmRJHx-gq6ANn3IpX?usp=sharing Download the Course Curriculum File from here: https://drive.google.com/file/d/17i0c6SmncNuwSgr9W1MRRk3YYdEOP9Gd/view?usp=sharing LinkedIn: https://www.linkedin.com/in/siddhardhan-s-741652207 Telegram Group: https://t.me/siddhardhan Facebook group: https://www.facebook.com/groups/490857825649006/?ref=share #machinelearningcourse #machinelearningprojects