health_care_professionals (publication)

literal strings: Health care professionals, Health Care Professionals, health-care professionals, health care professionals

categories

NELL has only weak evidence for items listed in grey

• publication
• SEAL @225 (50.0%) on 26-mar-2011 [ 1 ] using health_care_professionals

relations

NELL has only weak evidence for items listed in grey

• professiontypehasprofession
• nurses
• CPL @1095 (100.0%) on 17-jan-2018 [ "arg2 including registered arg1" "arg2 like doctors and arg1" "arg2 such as doctors or arg1" "arg2 such as social workers and arg1" "arg2 including doctors and arg1" "arg2 such as physicians and arg1" "arg2 include registered arg1" "arg2 such as pharmacists and arg1" "arg2 including physicians and arg1" "arg2 such as registered arg1" "arg2 such as doctors and arg1" ] using (nurses, health_care_professionals)
• doctors
• CPL @1103 (96.9%) on 06-mar-2018 [ "arg1 and other trained arg2" "arg1 and nurses and other arg2" "arg1 and other licensed arg2" "arg1 are licensed arg2" "arg1 are trained arg2" ] using (doctors, health_care_professionals)
• faculty
• CPL @1105 (87.5%) on 25-mar-2018 [ "arg1 includes experienced arg2" "arg1 includes licensed arg2" "arg1 are experienced arg2" ] using (faculty, health_care_professionals)
• instructors
• CPL @1094 (87.5%) on 01-jan-2018 [ "arg1 are trained arg2" "arg1 are experienced arg2" "arg1 are licensed arg2" ] using (instructors, health_care_professionals)
• nutritionists
• CPL @1104 (87.5%) on 18-mar-2018 [ "arg2 like doctors and arg1" "arg2 including doctors and arg1" "arg2 such as pharmacists and arg1" ] using (nutritionists, health_care_professionals)
• pediatricians
• CPL @1115 (75.0%) on 27-aug-2018 [ "arg1 and other pediatric arg2" "arg1 and other licensed arg2" ] using (pediatricians, health_care_professionals)
• physical_therapists
• CPL @1109 (75.0%) on 12-jun-2018 [ "arg2 such as nurses and arg1" "arg2 like nurses and arg1" ] using (physical_therapists, health_care_professionals)
• physicians
• CPL @1103 (99.9%) on 06-mar-2018 [ "arg1 and other trained arg2" "arg1 and other certified arg2" "arg1 and other licensed arg2" "arg1 and skilled arg2" "arg1 are licensed arg2" "arg1 are skilled arg2" "arg1 and other pediatric arg2" "arg1 and midlevel arg2" "arg1 and nurses and other arg2" "arg1 and other skilled arg2" ] using (physicians, health_care_professionals)
• school_nurses
• CPL @1109 (75.0%) on 12-jun-2018 [ "arg1 and other pediatric arg2" "arg1 and other licensed arg2" ] using (school_nurses, health_care_professionals)
• services
• CPL @1104 (87.5%) on 18-mar-2018 [ "arg1 are provided by qualified arg2" "arg1 are provided by licensed arg2" "arg1 and skilled arg2" ] using (services, health_care_professionals)
• staff
• OE @805 (87.5%) on 20-jan-2014 [   ] using (staff, health_care_professionals)
• surgeons
• CPL @1113 (75.0%) on 03-aug-2018 [ "arg2 like doctors and arg1" "arg2 such as orthopedic arg1" ] using (surgeons, health_care_professionals)
• technicians
• CPL @1095 (87.5%) on 17-jan-2018 [ "arg1 are trained arg2" "arg1 are experienced arg2" "arg1 and other trained arg2" ] using (technicians, health_care_professionals)
• technologists
• CPL @1096 (75.0%) on 18-jan-2018 [ "arg1 are certified arg2" "arg1 and other skilled arg2" ] using (technologists, health_care_professionals)
• therapists
• CPL @1103 (96.9%) on 06-mar-2018 [ "arg1 are trained arg2" "arg1 work closely with other arg2" "arg1 are highly trained arg2" "arg1 are skilled arg2" "arg1 are licensed arg2" ] using (therapists, health_care_professionals)
• workers
• CPL @1108 (98.4%) on 07-jun-2018 [ "arg2 and other care arg1" "arg2 and other skilled arg1" "arg2 and skilled arg1" "arg2 and allied health arg1" "arg2 and other health care arg1" "arg2 and other health arg1" ] using (workers, health_care_professionals)
• inverseoffooddecreasestheriskofdisease
• heart
• CPL @1115 (50.0%) on 27-aug-2018 [ "arg1 disease and arg2" ] using (heart, health_care_professionals)
• professiontypehasprofession
• group
• CPL @1107 (75.0%) on 24-may-2018 [ "arg1 are licensed arg2" "arg1 consists of trained arg2" ] using (group, health_care_professionals)