{"doi":"10.1155/2022/4224287","title":"Research on Medical Big Data Analysis and Disease Prediction Method Based on Artificial Intelligence","abstract":"<jats:p>In recent years, the continuous development of big data, cloud services, Internet+, artificial intelligence, and other technologies has accelerated the improvement of data communication services in the traditional pharmaceutical industry. It plays a leading role in the development of my country’s pharmaceutical industry, deepening the reform of the health system, improving the efficiency and quality of medical services, and developing new technologies. In this context, we make the following research and draw the following conclusions: (1) the scale of my country’s medical big data market is constantly increasing, and the global medical big data market is also increasing. Compared with the global medical big data market, China’s medical big data has grown at a faster rate. From the initial 10.33% in 2015, the proportion has reached 38.7% after 7 years, and the proportion has increased by 28.37%. (2) Generally speaking, urine is mainly slightly acidic, that is, the pH is around 6.0, the normal range is 5.0 to 7.0, and there are also neutral or slightly alkaline. 8 and 7.5 are generally people with some physical problems. In recent years, the pharmaceutical industry has continuously developed technologies such as big data, cloud computing, Internet+, and artificial intelligence by improving data transmission services. As an important strategic resource of the country, the generation of great medical skills and great information is of great significance to the development of my country’s pharmaceutical industry and the deepening of the reform of the national medical system. Improve the efficiency and level of medical services, and establish forms and services. Accelerate economic growth. In this sense, we set out to explore.</jats:p>","journal":"Computational and Mathematical Methods in Medicine","year":2022,"id":639292,"datarank":0.16479184330021646,"base_score":1.0986122886681096,"endowment":1.0986122886681096,"self_citation_contribution":0.16479184330021646,"citation_network_contribution":0.0,"self_endowment_contribution":0.16479184330021646,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":2,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":625455,"name":"Zhen Zhang","orcid":"0000-0002-6400-6052","position":1,"is_corresponding":false},{"id":882020,"name":"Hui Xiao","orcid":"0000-0002-1465-4596","position":2,"is_corresponding":false},{"id":350932,"name":"Fang Zhang","orcid":"0000-0003-2597-172X","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Research on Medical Big Data Analysis and Disease Prediction Method Based on Artificial Intelligence","abstract":"<jats:p>In recent years, the continuous development of big data, cloud services, Internet+, artificial intelligence, and other technologies has accelerated the improvement of data communication services in the traditional pharmaceutical industry. It plays a leading role in the development of my country’s pharmaceutical industry, deepening the reform of the health system, improving the efficiency and quality of medical services, and developing new technologies. In this context, we make the following research and draw the following conclusions: (1) the scale of my country’s medical big data market is constantly increasing, and the global medical big data market is also increasing. Compared with the global medical big data market, China’s medical big data has grown at a faster rate. From the initial 10.33% in 2015, the proportion has reached 38.7% after 7 years, and the proportion has increased by 28.37%. (2) Generally speaking, urine is mainly slightly acidic, that is, the pH is around 6.0, the normal range is 5.0 to 7.0, and there are also neutral or slightly alkaline. 8 and 7.5 are generally people with some physical problems. In recent years, the pharmaceutical industry has continuously developed technologies such as big data, cloud computing, Internet+, and artificial intelligence by improving data transmission services. As an important strategic resource of the country, the generation of great medical skills and great information is of great significance to the development of my country’s pharmaceutical industry and the deepening of the reform of the national medical system. Improve the efficiency and level of medical services, and establish forms and services. Accelerate economic growth. In this sense, we set out to explore.</jats:p>","is_dataset_classified":null,"base_score":1.0986122886681096,"endowment":1.0986122886681096,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"36118826","pmcid":"PMC9481370","openalex_id":"https://openalex.org/W4295047943","authors":[],"funders":[],"total_grants":0,"fwci":0.0,"citation_percentile":0.15807891,"influential_citations":0,"citation_trend":[{"year":2026,"count":2}],"oa_status":"hybrid","license":"cc-by","oa_locations":[{"url":"https://downloads.hindawi.com/journals/cmmm/2022/4224287.pdf","host_type":"journal"},{"url":"https://downloads.hindawi.com/journals/cmmm/2022/4224287.pdf","host_type":"publisher"},{"url":"http://downloads.hindawi.com/journals/cmmm/2022/4224287.pdf","host_type":"publisher"},{"url":"http://downloads.hindawi.com/journals/cmmm/2022/4224287.xml","host_type":"publisher"},{"url":"https://doi.org/10.1155/2022/4224287","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/36118826","host_type":"repository"},{"url":"https://doaj.org/article/dad4f6b242c14cddbe0ac63211543d5e","host_type":"repository"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9481370","host_type":"repository"},{"url":"https://europepmc.org/articles/PMC9481370","host_type":"Europe_PMC"},{"url":"https://europepmc.org/articles/PMC9481370?pdf=render","host_type":"Europe_PMC"}],"fields_of_study":["Artificial Intelligence in Healthcare"],"mesh_terms":["Cloud Computing","Big Data","Data Analysis","Artificial Intelligence","Humans"],"keywords":["Big data","Cloud computing","Context (archaeology)","The Internet","Business","China","Data science","Pharmaceutical industry","Computer science","Medicine","World Wide Web","Data mining","Political science"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Industry, innovation and infrastructure"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-06T23:47:17.492365Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}