Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: There is increasing interest in Big Data analytics in health care. Behavioral health analytics is a care management technology that aims to improve the quality of care and reduce health care costs based capture and analysis of data on patient’s behavioral patterns. Big Data analytics of behavioral health data offers the potential of more precise and personalized treatment as ll as monitor population-wide events such as epidemics.#R##N##R##N#Mobile phones are porful social sensors that are usually physically close to users and leave digital traces of users’ behaviors and movement patterns. New Apps (application or piece of software) are emerging that passively collect and analyze mobile phone data of at-risk patients such as their location, calling and texting records and app usage, and can find deviations in a user’s daily patterns to detect that something is wrong before an event occurs. Data mining and machine learning techniques are adopted to analyze the “automated diaries” created by the smart phone and monitor the ll-being of people. The App first learns a patients daily behavioral patterns using machine learning techniques. Once trained, the App detects deviations and alerts carers based on predictive models. #R##N##R##N# describes the techniques used and algorithms for reality mining and predictive analysis used in eHealth Apps.
['Peter Wlodarczak', 'Jeffrey Soar', 'Mustafa Ally']
I am writing a research paper on a idea Reality Mining in eHealth
[{"from": "human", "value": "I am writing a research paper on a idea Reality Mining in eHealth"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: There is increasing interest in Big Data analytics in health care. Behavioral health analytics is a care management technology that aims to improve the quality of care and reduce health care costs based capture and analysis of data on patient\u2019s behavioral patterns. Big Data analytics of behavioral health data offers the potential of more precise and personalized treatment as ll as monitor population-wide events such as epidemics.#R##N##R##N#Mobile phones are porful social sensors that are usually physically close to users and leave digital traces of users\u2019 behaviors and movement patterns. New Apps (application or piece of software) are emerging that passively collect and analyze mobile phone data of at-risk patients such as their location, calling and texting records and app usage, and can find deviations in a user\u2019s daily patterns to detect that something is wrong before an event occurs. Data mining and machine learning techniques are adopted to analyze the \u201cautomated diaries\u201d created by the smart phone and monitor the ll-being of people. The App first learns a patients daily behavioral patterns using machine learning techniques. Once trained, the App detects deviations and alerts carers based on predictive models. #R##N##R##N# describes the techniques used and algorithms for reality mining and predictive analysis used in eHealth Apps."}]