How a human can understand that a person has parkinson's from the available raw dataset? How we can identify that a person with the particular readings of AccV , AccML and AccAP has the parkinson's or not?
", "messages": [ { "id": "2195622", "postDate": "03/24/2023 18:56:57", "content": "How a human can understand that a person has parkinson's from the available raw dataset? How we can identify that a person with the particular readings of AccV , AccML and AccAP has the parkinson's or not?
", "rawMarkdown": "How a human can understand that a person has parkinson's from the available raw dataset? How we can identify that a person with the particular readings of AccV , AccML and AccAP has the parkinson's or not?", "votes": null }, { "id": "2197146", "postDate": "03/25/2023 23:37:03", "content": "I am also curious about how medical expert identify that with the help of plotting 3D graph…
", "rawMarkdown": "I am also curious about how medical expert identify that with the help of plotting 3D graph...", "votes": null }, { "id": "2200354", "postDate": "03/28/2023 13:46:19", "content": "Patients who are included in the study are already diagnosed with Parkinson's Disease. Knowing that they have Parkinson's, the goal of the study is to see how the Freeze of Gout is triggered. Since Freeze of Gout is inability to walk, the small sensor glued to the lower back of the patients measures movement and acceleration of the body. This sensor is not much different than the acceleration sensors in any fitness or Apple watches that measures steps, speed and acceleration. According to the information online, this sensor is connected wirelessly to a nearby phone device that records all the data from the sensor. It is unclear what is all the data that is recorded from the sensor, but we are only given 3 points of it. These 3 points of data are AccV , AccML and AccAP. In general, those are the three columns in the data files, and they represent acceleration or deceleration (when the number is negative) of the movements of the patients. Having in mind the enormous volume of data collected, the only way to analyze the data is to run it through a ML model to see what the FOG trigger is. This is where we step in. Good luck!
", "rawMarkdown": "Patients who are included in the study are already diagnosed with Parkinson's Disease. Knowing that they have Parkinson's, the goal of the study is to see how the Freeze of Gout is triggered. Since Freeze of Gout is inability to walk, the small sensor glued to the lower back of the patients measures movement and acceleration of the body. This sensor is not much different than the acceleration sensors in any fitness or Apple watches that measures steps, speed and acceleration. According to the information online, this sensor is connected wirelessly to a nearby phone device that records all the data from the sensor. It is unclear what is all the data that is recorded from the sensor, but we are only given 3 points of it. These 3 points of data are AccV , AccML and AccAP. In general, those are the three columns in the data files, and they represent acceleration or deceleration (when the number is negative) of the movements of the patients. Having in mind the enormous volume of data collected, the only way to analyze the data is to run it through a ML model to see what the FOG trigger is. This is where we step in. Good luck!", "votes": null }, { "id": "2200423", "postDate": "03/28/2023 14:43:30", "content": "Thanks willy,it's really informative that you have described. It means a human can not interpret the data directly. We need to use machine learning model to get the results.
", "rawMarkdown": "Thanks willy,it's really informative that you have described. It means a human can not interpret the data directly. We need to use machine learning model to get the results.", "votes": null }, { "id": "2200427", "postDate": "03/28/2023 14:46:21", "content": "I am new here and want to learn ML thats why i have chosen this project about Parkinson's but there are many confusions. So, i welcome you to all in this discussion. Thanks in advance
", "rawMarkdown": "I am new here and want to learn ML thats why i have chosen this project about Parkinson's but there are many confusions. So, i welcome you to all in this discussion. Thanks in advance", "votes": null } ], "comments": [ { "id": 2197146, "author_name": "backpack30", "author_url": "", "post_date": "03/25/2023 23:37:03", "content": "I am also curious about how medical expert identify that with the help of plotting 3D graph…
", "votes": null, "replies": [] }, { "id": 2200354, "author_name": "jdeneva", "author_url": "", "post_date": "03/28/2023 13:46:19", "content": "Patients who are included in the study are already diagnosed with Parkinson's Disease. Knowing that they have Parkinson's, the goal of the study is to see how the Freeze of Gout is triggered. Since Freeze of Gout is inability to walk, the small sensor glued to the lower back of the patients measures movement and acceleration of the body. This sensor is not much different than the acceleration sensors in any fitness or Apple watches that measures steps, speed and acceleration. According to the information online, this sensor is connected wirelessly to a nearby phone device that records all the data from the sensor. It is unclear what is all the data that is recorded from the sensor, but we are only given 3 points of it. These 3 points of data are AccV , AccML and AccAP. In general, those are the three columns in the data files, and they represent acceleration or deceleration (when the number is negative) of the movements of the patients. Having in mind the enormous volume of data collected, the only way to analyze the data is to run it through a ML model to see what the FOG trigger is. This is where we step in. Good luck!
", "votes": null, "replies": [ { "id": 2200423, "author_name": "zahidali06", "author_url": "", "post_date": "03/28/2023 14:43:30", "content": "Thanks willy,it's really informative that you have described. It means a human can not interpret the data directly. We need to use machine learning model to get the results.
", "votes": null, "replies": [] } ] }, { "id": 2200427, "author_name": "zahidali06", "author_url": "", "post_date": "03/28/2023 14:46:21", "content": "I am new here and want to learn ML thats why i have chosen this project about Parkinson's but there are many confusions. So, i welcome you to all in this discussion. Thanks in advance
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "2195622": "How a human can understand that a person has parkinson's from the available raw dataset? How we can identify that a person with the particular readings of AccV , AccML and AccAP has the parkinson's or not?", "2197146": "I am also curious about how medical expert identify that with the help of plotting 3D graph...", "2200354": "Patients who are included in the study are already diagnosed with Parkinson's Disease. Knowing that they have Parkinson's, the goal of the study is to see how the Freeze of Gout is triggered. Since Freeze of Gout is inability to walk, the small sensor glued to the lower back of the patients measures movement and acceleration of the body. This sensor is not much different than the acceleration sensors in any fitness or Apple watches that measures steps, speed and acceleration. According to the information online, this sensor is connected wirelessly to a nearby phone device that records all the data from the sensor. It is unclear what is all the data that is recorded from the sensor, but we are only given 3 points of it. These 3 points of data are AccV , AccML and AccAP. In general, those are the three columns in the data files, and they represent acceleration or deceleration (when the number is negative) of the movements of the patients. Having in mind the enormous volume of data collected, the only way to analyze the data is to run it through a ML model to see what the FOG trigger is. This is where we step in. Good luck!", "2200423": "Thanks willy,it's really informative that you have described. It means a human can not interpret the data directly. We need to use machine learning model to get the results.", "2200427": "I am new here and want to learn ML thats why i have chosen this project about Parkinson's but there are many confusions. So, i welcome you to all in this discussion. Thanks in advance" }, "source": "meta" }