公开(公告)号：US20210358624A1

公开(公告)日：2021-11-18

申请号：US16325681

申请日：2018-10-31

申请人： BABYLON PARTNERS LIMITED

发明人： Laura Helen DOUGLAS ,  Pavel MYSHKOV ,  Robert WALECKI ,  Iliyan Radev ZAROV ,  Konstantinos GOURGOULIAS ,  Christopher LUCAS ,  Christopher Robert HART ,  Adam Philip BAKER ,  Maneesh SAHANI ,  Iurii PEROV ,  Saurabh JOHRI

IPC分类号： G16H50/20 ,  G16H10/60 ,  G16H50/70 ,  G16H50/30 ,  G06N7/00 ,  G06N3/04 ,  G06N3/08

摘要： Methods for providing a computer implemented medical diagnosis are provided. In one aspect, a method includes receiving an input from a user comprising at least one symptom of the user, and providing the at least one symptom as an input to a medical model. The method also includes deriving estimates of the probability of the user having a disease from the discriminative model, inputting the estimates to the inference engine, performing approximate inference on the probabilistic graphical model to obtain a prediction of the probability that the user has that disease, and outputting the probability of the user having the disease for display by a display device.

公开(公告)号：US20190252076A1

公开(公告)日：2019-08-15

申请号：US16277970

申请日：2019-02-15

申请人： BABYLON PARTNERS LIMITED

发明人： Laura Helen DOUGLAS ,  Pavel MYSHKOV ,  Robert WALECKI ,  Iliyan Radev ZAROV ,  Konstantinos GOURGOULIAS ,  Christopher LUCAS ,  Christopher Robert HART ,  Adam Philip BAKER ,  Maneesh SAHANI ,  Iurii PEROV ,  Saurabh JOHRI

IPC分类号： G16H50/30 ,  G06N7/00 ,  G06N5/04 ,  G06N3/08

CPC分类号： G16H50/30 ,  G06F17/16 ,  G06N3/0454 ,  G06N3/08 ,  G06N3/082 ,  G06N5/04 ,  G06N7/005 ,  G06N20/20 ,  G16H50/20 ,  G16H50/70

摘要： Methods for providing a computer implemented medical diagnosis are provided. In one aspect, a method includes receiving an input from a user comprising at least one symptom of the user, and providing the at least one symptom as an input to a medical model. The method also includes deriving estimates of the probability of the user having a disease from the discriminative model, inputting the estimates to the inference engine, performing approximate inference on the probabilistic graphical model to obtain a prediction of the probability that the user has that disease, and outputting the probability of the user having the disease for display by a display device.

公开(公告)号：US20190251461A1

公开(公告)日：2019-08-15

申请号：US16277956

申请日：2019-02-15

申请人： BABYLON PARTNERS LIMITED

发明人： Laura Helen DOUGLAS ,  Pavel MYSHKOV ,  Robert WALECKI ,  Iliyan Radev ZAROV ,  Konstantinos GOURGOULIAS ,  Christopher LUCAS ,  Christopher Robert HART ,  Adam Philip BAKER ,  Maneesh SAHANI ,  Iurii PEROV ,  Saurabh JOHRI

IPC分类号： G06N7/00 ,  G06N3/08 ,  G06N20/20 ,  G06F17/16 ,  G16H50/30 ,  G16H50/20

CPC分类号： G16H50/30 ,  G06F17/16 ,  G06N3/0454 ,  G06N3/08 ,  G06N3/082 ,  G06N5/04 ,  G06N7/005 ,  G06N20/20 ,  G16H50/20 ,  G16H50/70

摘要： Methods for providing a computer implemented medical diagnosis are provided. In one aspect, a method includes receiving an input from a user comprising at least one symptom of the user, and providing the at least one symptom as an input to a medical model. The method also includes deriving estimates of the probability of the user having a disease from the discriminative model, inputting the estimates to the inference engine, performing approximate inference on the probabilistic graphical model to obtain a prediction of the probability that the user has that disease, and outputting the probability of the user having the disease for display by a display device.

公开(公告)号：US20190180841A1

公开(公告)日：2019-06-13

申请号：US16277975

申请日：2019-02-15

申请人： BABYLON PARTNERS LIMITED

发明人： Laura Helen DOUGLAS ,  Pavel MYSHKOV ,  Robert WALECKI ,  Iliyan Radev ZAROV ,  Konstantinos GOURGOULIAS ,  Christopher LUCAS ,  Christopher Robert HART ,  Adam Philip BAKER ,  Maneesh SAHANI ,  Iurii PEROV ,  Saurabh JOHRI

IPC分类号： G16B5/20 ,  G16H50/20 ,  G16H50/30 ,  G16B45/00 ,  G16H50/50

摘要： Methods for providing a computer implemented medical diagnosis are provided. In one aspect, a method includes receiving an input from a user comprising at least one symptom of the user, and providing the at least one symptom as an input to a medical model. The method also includes deriving estimates of the probability of the user having a disease from the discriminative model, inputting the estimates to the inference engine, performing approximate inference on the probabilistic graphical model to obtain a prediction of the probability that the user has that disease, and outputting the probability of the user having the disease for display by a display device.