hospitals (beach)

literal strings: hospitals, Hospitals, HOSPITALS

categories

NELL has only weak evidence for items listed in grey

• beach
• SEAL @763 (50.6%) on 22-aug-2013 [ 1 ] using hospitals

relations

NELL has only weak evidence for items listed in grey

• generalizationof
• providers
• CPL @1112 (50.0%) on 20-jul-2018 [ "arg2 and Other Health Care arg1" ] using (providers, hospitals)
• geopoliticallocationcontainsstate
• ontario
• CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 and Alberta in arg2" ] using (ontario, hospitals)
• states
• CPL @1094 (99.2%) on 01-jan-2018 [ "arg2 and cities across the United arg1" "arg2 and libraries in the United arg1" "arg2 and families across the United arg1" "arg2 and households in the United arg1" "arg2 and in the United arg1" "arg2 and those in the United arg1" "arg2 than in the United arg1" ] using (states, hospitals)
• inverseofbacteriaisthecausativeagentofphysiologicalcondition
• methicillin_resistant_staphylococcus
• CPL @1095 (87.5%) on 17-jan-2018 [ "arg1 aureus in arg2" "arg1 aureus infection in arg2" "arg1 aureus infections in arg2" ] using (methicillin_resistant_staphylococcus, hospitals)
• staphylococcus
• CPL @1094 (99.6%) on 01-jan-2018 [ "arg1 aureus in arg2" "arg1 aureus by arg2" "arg1 Aureus in arg2" "arg1 aureus infection in arg2" "arg1 aureus into arg2" "arg1 aureus isolates from arg2" "arg1 aureus bacteria in arg2" "arg1 aureus infections in arg2" ] using (staphylococcus, hospitals)
• officeheldbypoliticianus
• bill
• CPL @1113 (50.0%) on 03-aug-2018 [ "arg1 d amico rhode island arg2" ] using (bill, hospitals)
• organizationalsoknownas
• department
• CPL @1103 (50.0%) on 06-mar-2018 [ "arg2 of Defense and the Veterans arg1" ] using (department, hospitals)
• CPL @1103 (50.0%) on 06-mar-2018 [ "arg2 of Defense and the Veterans arg1" ] using (hospitals, department)
• personhasmother
• mother
• CPL @1103 (50.0%) on 06-mar-2018 [ "arg1 Theresa and arg2" ] using (mother, hospitals)
• professiontypehasprofession
• anesthetist
• CPL @851 (50.0%) on 28-jun-2014 [ "arg2 or nurse arg1" ] using (anesthetist, hospitals)
• care_professionals
• CPL @1105 (93.8%) on 25-mar-2018 [ "arg2 and other health arg1" "arg2 and other medical arg1" "arg2 and allied health arg1" "arg2 and all other health arg1" ] using (care_professionals, hospitals)
• clinicians
• CPL @1115 (75.0%) on 27-aug-2018 [ "arg2 and other health care arg1" "arg2 and other medical arg1" ] using (clinicians, hospitals)
• nursing
• CPL @1107 (75.0%) on 24-may-2018 [ "arg2 or skilled arg1" "arg2 and skilled arg1" ] using (nursing, hospitals)
• practitioners
• CPL @1103 (99.2%) on 06-mar-2018 [ "arg2 and other healthcare arg1" "arg2 and licensed health care arg1" "arg2 and other medical arg1" "arg2 and nurse arg1" "arg2 and other health arg1" "arg2 and all other healthcare arg1" "arg2 and other health care arg1" ] using (practitioners, hospitals)
• OE @803 (92.7%) on 13-jan-2014 [   ] using (practitioners, hospitals)
• providers
• OE @820 (100.0%) on 06-mar-2014 [   ] using (providers, hospitals)
• CPL @1094 (96.9%) on 01-jan-2018 [ "arg1 such as doctors and arg2" "arg1 such as physicians and arg2" "arg1 like doctors and arg2" "arg1 such as doctors or arg2" "arg1 including physicians and arg2" ] using (providers, hospitals)
• service
• CPL @1104 (87.5%) on 18-mar-2018 [ "arg2 and other health care arg1" "arg2 and other medical arg1" "arg2 and other health arg1" ] using (service, hospitals)
• services
• OE @803 (89.8%) on 13-jan-2014 [   ] using (services, hospitals)
• CPL @1103 (100.0%) on 06-mar-2018 [ "arg2 and other medical care arg1" "arg2 and other health arg1" "arg2 and other medical arg1" "arg2 or other healthcare arg1" "arg2 who provide abortion arg1" "arg2 and other health care arg1" "arg2 and other allied health arg1" "arg2 and clinical support arg1" "arg2 and other healthcare arg1" "arg2 and doctors and other arg1" "arg2 and all other health arg1" "arg2 and other care arg1" "arg2 and allied health arg1" "arg2 and other mental health arg1" "arg2 provide a comprehensive range of arg1" ] using (services, hospitals)
• specialists
• CPL @1104 (93.8%) on 18-mar-2018 [ "arg2 and other health arg1" "arg2 and other medical arg1" "arg2 and other hospital arg1" "arg2 and other health care arg1" ] using (specialists, hospitals)
• roomcancontainfurniture
• bed
• CPL @1114 (50.0%) on 18-aug-2018 [ "arg1 linen for arg2" ] using (bed, hospitals)
• bedding
• CPL @1112 (50.0%) on 20-jul-2018 [ "arg1 and mattresses in arg2" ] using (bedding, hospitals)
• roomcancontainitem
• bedding
• CPL @1112 (50.0%) on 20-jul-2018 [ "arg1 and mattresses in arg2" ] using (bedding, hospitals)
• synonymfor
• department
• CPL @1112 (50.0%) on 20-jul-2018 [ "arg2 of Defense and the Veterans arg1" ] using (hospitals, department)
• CPL @1112 (50.0%) on 20-jul-2018 [ "arg2 of Defense and the Veterans arg1" ] using (department, hospitals)
• televisioncompanyaffiliate
• kong
• CPL @1115 (50.0%) on 27-aug-2018 [ "arg2 in Hong arg1" ] using (kong, hospitals)
• agentcompeteswithagent
• search (agent)
• CPL @1112 (50.0%) on 20-jul-2018 [ "arg1 engine to locate arg2" ] using (search, hospitals)
• CPL @1112 (50.0%) on 20-jul-2018 [ "arg1 engine to locate arg2" ] using (hospitals, search)
• search (personcanada)
• CPL @1112 (50.0%) on 20-jul-2018 [ "arg1 engine to locate arg2" ] using (search, hospitals)
• CPL @1112 (50.0%) on 20-jul-2018 [ "arg1 engine to locate arg2" ] using (hospitals, search)
• search (personeurope)
• CPL @1112 (50.0%) on 20-jul-2018 [ "arg1 engine to locate arg2" ] using (search, hospitals)
• CPL @1112 (50.0%) on 20-jul-2018 [ "arg1 engine to locate arg2" ] using (hospitals, search)
• search (retailstore)
• CPL @1112 (50.0%) on 20-jul-2018 [ "arg1 engine to locate arg2" ] using (search, hospitals)
• CPL @1112 (50.0%) on 20-jul-2018 [ "arg1 engine to locate arg2" ] using (hospitals, search)
• search (tradeunion)
• CPL @1112 (50.0%) on 20-jul-2018 [ "arg1 engine to locate arg2" ] using (search, hospitals)
• CPL @1112 (50.0%) on 20-jul-2018 [ "arg1 engine to locate arg2" ] using (hospitals, search)
• search (vertebrate)
• CPL @1112 (50.0%) on 20-jul-2018 [ "arg1 engine to locate arg2" ] using (search, hospitals)
• CPL @1112 (50.0%) on 20-jul-2018 [ "arg1 engine to locate arg2" ] using (hospitals, search)
• generalizationof
• professionals
• CPL @1108 (75.0%) on 07-jun-2018 [ "arg2 and other qualified healthcare arg1" "arg2 and allied health care arg1" ] using (professionals, hospitals)
• isshorterthan
• london
• CPL @1105 (75.0%) on 25-mar-2018 [ "arg2 in New York and arg1" "arg2 in Paris and arg1" ] using (london, hospitals)
• locatedat
• new (geopoliticallocation)
• OE @820 (95.7%) on 06-mar-2014 [   ] using (new, hospitals)
• CPL @1103 (99.6%) on 06-mar-2018 [ "arg1 Hampshire seacoast arg2" "arg1 York City and Long Island arg2" "arg1 York and DD other arg2" "arg1 Year at arg2" "arg1 York City metropolitan arg2" "arg1 Jersey and Connecticut arg2" "arg1 York metropolitan arg2" "arg1 England and New York arg2" ] using (new, hospitals)
• locationcontainslocation
• new (geopoliticallocation)
• OE @976 (100.0%) on 04-feb-2016 [ http://www.usatoday.com/story/news/nation/2013/10/20/hospitals-face-whole-new-world-under-health-law/3078353/ http://topics.nytimes.com/top/news/health/diseasesconditionsandhealthtopics/hospitals/  ] using (new, hospitals)
• CPL @1104 (99.9%) on 18-mar-2018 [ "arg1 Hampshire seacoast arg2" "arg1 York City and Long Island arg2" "arg1 Zealand rural arg2" "arg1 York and DD other arg2" "arg1 Year at arg2" "arg1 York City metropolitan arg2" "arg1 York and New Jersey arg2" "arg1 Jersey and Connecticut arg2" "arg1 York metropolitan arg2" "arg1 England and New York arg2" ] using (new, hospitals)
• locationofpersonbirth
• katrina
• CPL @1105 (75.0%) on 25-mar-2018 [ "arg2 in the wake of Hurricane arg1" "arg2 after Hurricane arg1" ] using (katrina, hospitals)
• katrina001
• CPL @1105 (75.0%) on 25-mar-2018 [ "arg2 in the wake of Hurricane arg1" "arg2 after Hurricane arg1" ] using (katrina, hospitals)
• mutualproxyfor
• new (geopoliticallocation)
• CPL @1094 (100.0%) on 01-jan-2018 [ "arg2 Hampshire seacoast arg1" "arg2 York City and Long Island arg1" "arg2 York and DD other arg1" "arg2 Year at arg1" "arg2 York City metropolitan arg1" "arg2 York and New Jersey arg1" "arg2 York and in other arg1" "arg2 Jersey and Connecticut arg1" "arg2 Zealand urban arg1" "arg2 York metropolitan arg1" "arg2 England and New York arg1" ] using (new, hospitals)
• CPL @1094 (100.0%) on 01-jan-2018 [ "arg2 Hampshire seacoast arg1" "arg2 York City and Long Island arg1" "arg2 York and DD other arg1" "arg2 Year at arg1" "arg2 York City metropolitan arg1" "arg2 York and New Jersey arg1" "arg2 York and in other arg1" "arg2 Jersey and Connecticut arg1" "arg2 Zealand urban arg1" "arg2 York metropolitan arg1" "arg2 England and New York arg1" ] using (hospitals, new)
• new (politicaloffice)
• CPL @1094 (100.0%) on 01-jan-2018 [ "arg2 Hampshire seacoast arg1" "arg2 York City and Long Island arg1" "arg2 York and DD other arg1" "arg2 Year at arg1" "arg2 York City metropolitan arg1" "arg2 York and New Jersey arg1" "arg2 York and in other arg1" "arg2 Jersey and Connecticut arg1" "arg2 Zealand urban arg1" "arg2 York metropolitan arg1" "arg2 England and New York arg1" ] using (new, hospitals)
• CPL @1094 (100.0%) on 01-jan-2018 [ "arg2 Hampshire seacoast arg1" "arg2 York City and Long Island arg1" "arg2 York and DD other arg1" "arg2 Year at arg1" "arg2 York City metropolitan arg1" "arg2 York and New Jersey arg1" "arg2 York and in other arg1" "arg2 Jersey and Connecticut arg1" "arg2 Zealand urban arg1" "arg2 York metropolitan arg1" "arg2 England and New York arg1" ] using (hospitals, new)
• new (room)
• CPL @1094 (100.0%) on 01-jan-2018 [ "arg2 Hampshire seacoast arg1" "arg2 York City and Long Island arg1" "arg2 York and DD other arg1" "arg2 Year at arg1" "arg2 York City metropolitan arg1" "arg2 York and New Jersey arg1" "arg2 York and in other arg1" "arg2 Jersey and Connecticut arg1" "arg2 Zealand urban arg1" "arg2 York metropolitan arg1" "arg2 England and New York arg1" ] using (new, hospitals)
• CPL @1094 (100.0%) on 01-jan-2018 [ "arg2 Hampshire seacoast arg1" "arg2 York City and Long Island arg1" "arg2 York and DD other arg1" "arg2 Year at arg1" "arg2 York City metropolitan arg1" "arg2 York and New Jersey arg1" "arg2 York and in other arg1" "arg2 Jersey and Connecticut arg1" "arg2 Zealand urban arg1" "arg2 York metropolitan arg1" "arg2 England and New York arg1" ] using (hospitals, new)
• new (sportsleague)
• CPL @1094 (100.0%) on 01-jan-2018 [ "arg2 Hampshire seacoast arg1" "arg2 York City and Long Island arg1" "arg2 York and DD other arg1" "arg2 Year at arg1" "arg2 York City metropolitan arg1" "arg2 York and New Jersey arg1" "arg2 York and in other arg1" "arg2 Jersey and Connecticut arg1" "arg2 Zealand urban arg1" "arg2 York metropolitan arg1" "arg2 England and New York arg1" ] using (new, hospitals)
• CPL @1094 (100.0%) on 01-jan-2018 [ "arg2 Hampshire seacoast arg1" "arg2 York City and Long Island arg1" "arg2 York and DD other arg1" "arg2 Year at arg1" "arg2 York City metropolitan arg1" "arg2 York and New Jersey arg1" "arg2 York and in other arg1" "arg2 Jersey and Connecticut arg1" "arg2 Zealand urban arg1" "arg2 York metropolitan arg1" "arg2 England and New York arg1" ] using (hospitals, new)
• new (tableitem)
• CPL @1094 (100.0%) on 01-jan-2018 [ "arg2 Hampshire seacoast arg1" "arg2 York City and Long Island arg1" "arg2 York and DD other arg1" "arg2 Year at arg1" "arg2 York City metropolitan arg1" "arg2 York and New Jersey arg1" "arg2 York and in other arg1" "arg2 Jersey and Connecticut arg1" "arg2 Zealand urban arg1" "arg2 York metropolitan arg1" "arg2 England and New York arg1" ] using (new, hospitals)
• CPL @1094 (100.0%) on 01-jan-2018 [ "arg2 Hampshire seacoast arg1" "arg2 York City and Long Island arg1" "arg2 York and DD other arg1" "arg2 Year at arg1" "arg2 York City metropolitan arg1" "arg2 York and New Jersey arg1" "arg2 York and in other arg1" "arg2 Jersey and Connecticut arg1" "arg2 Zealand urban arg1" "arg2 York metropolitan arg1" "arg2 England and New York arg1" ] using (hospitals, new)
• new (traditionalgame)
• CPL @1094 (100.0%) on 01-jan-2018 [ "arg2 Hampshire seacoast arg1" "arg2 York City and Long Island arg1" "arg2 York and DD other arg1" "arg2 Year at arg1" "arg2 York City metropolitan arg1" "arg2 York and New Jersey arg1" "arg2 York and in other arg1" "arg2 Jersey and Connecticut arg1" "arg2 Zealand urban arg1" "arg2 York metropolitan arg1" "arg2 England and New York arg1" ] using (new, hospitals)
• CPL @1094 (100.0%) on 01-jan-2018 [ "arg2 Hampshire seacoast arg1" "arg2 York City and Long Island arg1" "arg2 York and DD other arg1" "arg2 Year at arg1" "arg2 York City metropolitan arg1" "arg2 York and New Jersey arg1" "arg2 York and in other arg1" "arg2 Jersey and Connecticut arg1" "arg2 Zealand urban arg1" "arg2 York metropolitan arg1" "arg2 England and New York arg1" ] using (hospitals, new)
• superpartof
• new (geopoliticallocation)
• CPL @1112 (75.0%) on 20-jul-2018 [ "arg1 York City metropolitan arg2" "arg1 York metropolitan arg2" ] using (new, hospitals)
• new (hallwayitem)
• CPL @1112 (75.0%) on 20-jul-2018 [ "arg1 York City metropolitan arg2" "arg1 York metropolitan arg2" ] using (new, hospitals)
• new (room)
• CPL @1112 (75.0%) on 20-jul-2018 [ "arg1 York City metropolitan arg2" "arg1 York metropolitan arg2" ] using (new, hospitals)
• superpartoforganization
• funds
• CPL @1115 (50.0%) on 27-aug-2018 [ "arg2 and federal matching arg1" ] using (funds, hospitals)
• agencies
• CPL @1095 (93.8%) on 17-jan-2018 [ "arg2 and local public health arg1" "arg2 and nonprofit health arg1" "arg2 and local law enforcement arg1" "arg2 and local health arg1" ] using (agencies, hospitals)
• departments
• CPL @1096 (75.0%) on 18-jan-2018 [ "arg2 and local health arg1" "arg2 and local public health arg1" ] using (departments, hospitals)
• clinics
• CPL @1108 (50.0%) on 07-jun-2018 [ "arg2 and local health arg1" ] using (clinics, hospitals)
• synonymfor
• road
• CPL @1096 (50.0%) on 18-jan-2018 [ "arg1 ranked next to arg2" ] using (hospitals, road)
• CPL @1096 (50.0%) on 18-jan-2018 [ "arg1 ranked next to arg2" ] using (road, hospitals)