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Integrating Medical Scientific Knowledge with the Semantically Quantified Self

Published on Nov 10, 20161150 Views

The assessment of risk in medicine is a crucial task, and depends on scientific knowledge derived by systematic clinical studies on factors affecting health, as well as on particular knowledge about t

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Chapter list

Integrating medical scientific knowledge with the semantically Quantified Self00:00
Clinical Risk Factors - 100:36
Clinical Risk Factors - 200:47
Clinical Risk Factor - 301:57
A risk factor association - 102:08
A risk factor association - 202:29
Existing risk calculators - 102:59
Existing risk calculators - 203:58
Connecting to the patient - 105:55
Connecting to the patient - 205:55
Recording QS measurements - 106:46
Recording QS measurements - 206:48
Recording QS measurements - 306:54
Recording QS measurements - 407:08
Integrating QS & risk factor data - 107:35
Integrating QS & risk factor data - 207:48
Integrating QS & risk factor data - 307:52
Custom expression language - 108:25
Custom expression language - 208:29
Custom expression language - 308:46
Custom expression language - 408:56
Custom expression language - 509:09
Graph09:21
Risk factor data capture - 109:53
Risk factor data capture - 210:42
Risk factor data capture - 311:13
Quantified Self Date Capture - 111:29
Quantified Self Date Capture - 211:31
Quantified Self Date Capture - 312:00
Quantified Self Date Capture - 412:07
Quantified Self Date Capture - 512:20
Presonalised Risk Prediction12:26
Patient Evaluation - 113:29
Patient Evaluation - 213:30
Patient Evaluation - 313:40
Patient Evaluation - 413:42
Patient Evaluation - 513:44
Evaluation - 113:48
Evaluation - 213:49
Evaluation - 315:22
Gaps in Clinical Evidence - 115:34
Gaps in Clinical Evidence - 215:39
Gaps in Clinical Evidence - 316:00
Gaps in Clinical Evidence - 416:36
Resources & Future work - 116:51
Resources & Future work - 216:54
Resources & Future work - 317:00
Resources & Future work - 417:10
Resources & Future work - 517:16
Resources & Future work - 617:22
Thank you! - 117:33
Thank you! - 217:35