首页|Ingine Inc. Reports Findings in Personalized Medicine (Glass box machine learnin g for retrospective cohort studies using many patient records. The complex examp le of bleeding peptic ulcer)
Ingine Inc. Reports Findings in Personalized Medicine (Glass box machine learnin g for retrospective cohort studies using many patient records. The complex examp le of bleeding peptic ulcer)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Drugs and Therapies - Personalized Medicine is the subject of a report.According to news reporting or iginating from Cleveland, Ohio, by NewsRx correspondents, research stated,“Glas s Box Machine Learning is, in this study, a type of partially supervised data mi ning and predictiontechnique, like a neural network in which each weight or pat tern of mutually relevant weights is nowreplaced by a meaningful ‘probabilistic knowledge element.’ We apply it to retrospective cohort studiesusing large num bers of structured medical records to help select candidate patients for future cohortstudies and similar clinical trials. Here it is applied to aid analysis o f approaches to aid Deep Learning,but the method lends itself well to direct co mputation of odds with ‘explainability’ in study design thatcan complement ‘Bla ck Box’ Deep Learning.”
ClevelandOhioUnited StatesNorth an d Central AmericaBusinessClinical ResearchClinical Trials and StudiesCyb orgsDigestive System Diseases and ConditionsDrugs and TherapiesEmerging Te chnologiesGastroenterologyGastrointestinal Diseases and ConditionsHealth a nd MedicineMachine LearningPeptic UlcersPersonalized MedicinePersonalize d TherapyStomach Diseases and Conditions
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