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Thomas Schmidt
Ph.D
Mærsk Mc-Kinney Møller Instituttet
Gæsteforsker
,
KI, OUH, Forskningsenhed for CIMT - Center for Innovativ Medicinsk Teknologi (Odense)
Lektor
,
SDU Health Informatics and Technology
VIP
,
Dansk Center for Motivation og Adfærdsændring
https://orcid.org/0000-0003-4476-8559
Telefon
+4565507456
E-mail
schmidt
mmmi.sdu
dk
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Fingeraftryk
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Publikationer
(48)
Aktiviteter
(6)
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(3)
Presse/medie
(13)
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(1)
Lignende profiler
(6)
Ph.d.-vejledning
(1)
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Fingeraftryk
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Alfabetisk
Medicin og biovidenskab
Hospital Emergency Service
100%
Delivery of Health Care
70%
Telemedicine
68%
Physiologic Monitoring
61%
Feasibility Studies
53%
Information Systems
46%
Quality of Health Care
46%
Vital Signs
45%
Internet
44%
Myocardial Ischemia
41%
Machine Learning
40%
Anxiety
36%
Dialectical Behavior Therapy
35%
Clinical Deterioration
35%
Cardiac Rehabilitation
34%
Information Technology
33%
Depression
33%
Randomized Controlled Trials
31%
Internet-Based Intervention
31%
Artificial Intelligence
30%
Mobile Applications
30%
Health
30%
Research Personnel
28%
Health Literacy
28%
Borderline Personality Disorder
28%
Checklist
28%
Negotiating
27%
Literacy
27%
Long-Term Memory
26%
Implantable Defibrillators
26%
Patient Reported Outcome Measures
25%
Nurses
25%
Diaries
24%
Forests
24%
Risk Assessment
24%
Diagnostic Imaging
24%
Administrative Personnel
23%
Cost-Benefit Analysis
23%
Short-Term Memory
21%
Cluster Analysis
20%
Shock
20%
Quality of Life
19%
Prescriptions
19%
Life Style
18%
Heart Diseases
18%
Length of Stay
17%
Mortality
17%
History
17%
Systematic Reviews
17%
Decision Trees
17%
Teknik og materialevidenskab
Patient monitoring
96%
Deterioration
66%
Alarm systems
32%
Lenses
31%
Machine learning
29%
Alcohols
25%
Learning systems
23%
Random forests
21%
Industry
20%
Blood pressure
18%
Personnel
17%
Trajectories
17%
Uncertainty
14%
Oxygen
13%
Biomedical equipment
12%
Decision trees
11%
Support vector machines
11%
Application programming interfaces (API)
10%
Information technology
10%
Monitoring
9%
Learning algorithms
9%
Information systems
9%
Deep neural networks
9%
Mean square error
8%
Taxonomies
8%
Blood
7%
Data handling
5%
Samfundsvidenskab
Denmark
23%
artificial intelligence
23%
medication
19%
performance
16%
Canada
15%
leadership
14%
predictive model
14%
sociability
13%
social construction
11%
fairness
10%
change management
9%
equality
9%
study contents
7%
society
7%
structural model
7%
examination
6%
illness
6%
acceptance
5%
interaction
5%
adverse events
5%
