发明名称 Method for on-line prediction of medical diagnosis
摘要 In a method of generating a diagnosis of a medical condition, a list of symptoms is received at a server from a patient computer. The list of symptoms is presented to a plurality of participants. A list of diagnoses corresponding to the list of symptoms is presented to the plurality of participants. An input is received from each of the plurality of participants in which the input indicates a likelihood of each of the potential diagnoses being correct. The input from each of the plurality of participants is averaged, thereby generating a ranking of the potential diagnoses from highest likelihood of being correct to lowest likelihood of being correct, which is transmitted to the patient. An indication of which diagnosis was found to be correct is received from the patient. A reward is paid to each participant based on how likely the participant indicated that the correct diagnosis was correct.
申请公布号 US8949136(B2) 申请公布日期 2015.02.03
申请号 US201213646413 申请日期 2012.10.05
申请人 发明人 Heyman Lee Jared
分类号 G06Q50/22;G06F19/00;G06Q10/10 主分类号 G06Q50/22
代理机构 Bockhop & Associates, LLC 代理人 Bockhop Bryan W.;Bockhop & Associates, LLC
主权项 1. A method of generating a diagnosis of a medical condition experienced by a patient, comprising the steps of: (a) receiving, at a server in communication with a global computer network, a list of symptoms from a patient computer in communication with the global computer network, the symptoms relating to an ailment experienced by the patient; (b) presenting to a plurality of participants the list of symptoms on a corresponding plurality of participant computers in data communication with the server; (c) presenting to the plurality of participants a list of potential diagnoses corresponding to the list of symptoms to the plurality of participants on the plurality of participant computers; (d) receiving an input from each participant computer of each of the plurality of participants in which each input indicates a likelihood of each of the potential diagnoses being correct relative to each other diagnosis; (e) generating a volume weighted average of the inputs for each potential diagnosis, thereby generating a ranking of the potential diagnoses from highest likelihood of being correct to lowest likelihood of being correct; (f) transmitting the ranking from the server to the patient computer; (g) receiving at the server from the patient computer an indication of which of the potential diagnoses was found to be a correct diagnosis by a physician who examined the patient; and (h) paying a reward to each participant based on how likely the participant indicated that the correct diagnosis was correct.
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